mirror of
https://github.com/Steffo99/unimore-bda-6.git
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310 lines
78 KiB
Text
310 lines
78 KiB
Text
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2023-05-10 02:43:35,852 __main__ INFO Started unimore-bda-6 in PRODUCTION mode!
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2023-05-10 02:44:58,691 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
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2023-05-10 02:44:58,692 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1 INFO Training succeeded!
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2023-05-10 02:44:58,692 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
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2023-05-10 02:44:58,756 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:44:58,887 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 02:44:58,887 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:46:09,238 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
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2023-05-10 02:46:09,238 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-10 02:46:09,238 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
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2023-05-10 02:46:09,301 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:46:09,429 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 02:46:09,429 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:47:14,564 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
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2023-05-10 02:47:14,564 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1 INFO Training succeeded!
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2023-05-10 02:47:14,564 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
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2023-05-10 02:47:14,629 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:47:14,759 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 02:47:14,760 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:48:22,805 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
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2023-05-10 02:48:22,806 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1 INFO Training succeeded!
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2023-05-10 02:48:22,806 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
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2023-05-10 02:48:22,872 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:48:23,016 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 02:48:23,016 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:49:31,383 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 02:49:31,383 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-10 02:49:31,383 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 02:49:31,445 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:49:31,574 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-10 02:49:31,574 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:50:40,086 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
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2023-05-10 02:50:40,086 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-10 02:50:40,087 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
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2023-05-10 02:50:40,150 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:50:40,277 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 02:50:40,277 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
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2023-05-10 02:51:48,760 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 02:54:07,227 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-10 02:54:07,227 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 02:55:08,694 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.932 mean absolute error, 3.728 mean squared error, 0.676 recall of 1.0, 0.8264058679706602 precision of 1.0, 0.858 recall of 5.0, 0.7258883248730964 precision of 5.0, 767 perfect matches.
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2023-05-10 02:55:08,845 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 02:55:08,846 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.932 mean absolute error, 3.728 mean squared error, 0.676 recall of 1.0, 0.8264058679706602 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.858 recall of 5.0, 0.7258883248730964 precision of 5.0, 767 perfect matches.
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2023-05-10 02:56:17,610 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 02:58:39,299 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-10 02:58:39,299 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 02:59:40,009 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.06 mean absolute error, 4.24 mean squared error, 0.61 recall of 1.0, 0.8133333333333334 precision of 1.0, 0.86 recall of 5.0, 0.688 precision of 5.0, 735 perfect matches.
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2023-05-10 02:59:40,137 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 02:59:40,137 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.06 mean absolute error, 4.24 mean squared error, 0.61 recall of 1.0, 0.8133333333333334 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.86 recall of 5.0, 0.688 precision of 5.0, 735 perfect matches.
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2023-05-10 03:00:46,448 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 03:03:42,339 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training succeeded!
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2023-05-10 03:03:42,339 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 03:04:52,676 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.108 mean absolute error, 4.432 mean squared error, 0.608 recall of 1.0, 0.7896103896103897 precision of 1.0, 0.838 recall of 5.0, 0.6813008130081301 precision of 5.0, 723 perfect matches.
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2023-05-10 03:04:52,801 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 03:04:52,801 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.108 mean absolute error, 4.432 mean squared error, 0.608 recall of 1.0, 0.7896103896103897 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.838 recall of 5.0, 0.6813008130081301 precision of 5.0, 723 perfect matches.
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2023-05-10 03:05:58,634 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 03:08:13,605 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Training succeeded!
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2023-05-10 03:08:13,605 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 03:09:11,730 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.076 mean absolute error, 4.304 mean squared error, 0.62 recall of 1.0, 0.7969151670951157 precision of 1.0, 0.842 recall of 5.0, 0.6890343698854338 precision of 5.0, 731 perfect matches.
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2023-05-10 03:09:11,866 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 03:09:11,867 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.076 mean absolute error, 4.304 mean squared error, 0.62 recall of 1.0, 0.7969151670951157 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.842 recall of 5.0, 0.6890343698854338 precision of 5.0, 731 perfect matches.
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2023-05-10 03:10:22,481 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 03:13:07,679 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-10 03:13:07,680 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 03:14:19,041 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.196 mean absolute error, 4.784 mean squared error, 0.582 recall of 1.0, 0.7637795275590551 precision of 1.0, 0.82 recall of 5.0, 0.6623586429725363 precision of 5.0, 701 perfect matches.
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2023-05-10 03:14:19,229 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-10 03:14:19,230 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.196 mean absolute error, 4.784 mean squared error, 0.582 recall of 1.0, 0.7637795275590551 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.82 recall of 5.0, 0.6623586429725363 precision of 5.0, 701 perfect matches.
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2023-05-10 03:15:46,197 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 03:18:56,976 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-10 03:18:56,977 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 03:20:17,188 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.056 mean absolute error, 4.224 mean squared error, 0.598 recall of 1.0, 0.8259668508287292 precision of 1.0, 0.874 recall of 5.0, 0.6849529780564263 precision of 5.0, 736 perfect matches.
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2023-05-10 03:20:17,319 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 03:20:17,319 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.056 mean absolute error, 4.224 mean squared error, 0.598 recall of 1.0, 0.8259668508287292 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.874 recall of 5.0, 0.6849529780564263 precision of 5.0, 736 perfect matches.
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2023-05-10 03:21:25,068 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 03:22:31,887 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-10 03:23:40,059 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 03:29:02,549 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2 INFO Training succeeded!
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2023-05-10 03:29:02,549 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 03:30:09,274 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.568 mean absolute error, 2.272 mean squared error, 0.87 recall of 1.0, 0.849609375 precision of 1.0, 0.846 recall of 5.0, 0.8668032786885246 precision of 5.0, 858 perfect matches.
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2023-05-10 03:30:09,403 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 03:30:09,403 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.568 mean absolute error, 2.272 mean squared error, 0.87 recall of 1.0, 0.849609375 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.846 recall of 5.0, 0.8668032786885246 precision of 5.0, 858 perfect matches.
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2023-05-10 03:31:19,299 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 03:36:52,094 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-10 03:36:52,095 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 03:37:57,538 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.488 mean absolute error, 1.952 mean squared error, 0.844 recall of 1.0, 0.9055793991416309 precision of 1.0, 0.912 recall of 5.0, 0.8539325842696629 precision of 5.0, 878 perfect matches.
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2023-05-10 03:37:57,664 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 03:37:57,664 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.488 mean absolute error, 1.952 mean squared error, 0.844 recall of 1.0, 0.9055793991416309 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.912 recall of 5.0, 0.8539325842696629 precision of 5.0, 878 perfect matches.
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2023-05-10 03:39:05,712 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 03:45:01,541 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training succeeded!
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2023-05-10 03:45:01,542 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 03:46:09,282 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.46 mean absolute error, 1.84 mean squared error, 0.872 recall of 1.0, 0.8952772073921971 precision of 1.0, 0.898 recall of 5.0, 0.8752436647173489 precision of 5.0, 885 perfect matches.
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2023-05-10 03:46:09,528 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 03:46:09,529 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.46 mean absolute error, 1.84 mean squared error, 0.872 recall of 1.0, 0.8952772073921971 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.898 recall of 5.0, 0.8752436647173489 precision of 5.0, 885 perfect matches.
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2023-05-10 03:47:19,709 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 03:48:34,195 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-10 03:49:49,069 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 03:55:26,273 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2 INFO Training succeeded!
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2023-05-10 03:55:26,283 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 03:56:32,420 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.496 mean absolute error, 1.984 mean squared error, 0.858 recall of 1.0, 0.8900414937759336 precision of 1.0, 0.894 recall of 5.0, 0.862934362934363 precision of 5.0, 876 perfect matches.
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2023-05-10 03:56:32,652 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 03:56:32,653 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.496 mean absolute error, 1.984 mean squared error, 0.858 recall of 1.0, 0.8900414937759336 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.894 recall of 5.0, 0.862934362934363 precision of 5.0, 876 perfect matches.
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2023-05-10 03:57:44,651 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 04:03:25,274 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-10 04:03:25,274 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 04:04:31,838 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.512 mean absolute error, 2.048 mean squared error, 0.856 recall of 1.0, 0.8842975206611571 precision of 1.0, 0.888 recall of 5.0, 0.8604651162790697 precision of 5.0, 872 perfect matches.
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2023-05-10 04:04:32,023 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-10 04:04:32,024 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.512 mean absolute error, 2.048 mean squared error, 0.856 recall of 1.0, 0.8842975206611571 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.888 recall of 5.0, 0.8604651162790697 precision of 5.0, 872 perfect matches.
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2023-05-10 04:05:39,080 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 04:11:19,086 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-10 04:11:19,086 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 04:12:25,320 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.488 mean absolute error, 1.952 mean squared error, 0.9 recall of 1.0, 0.8620689655172413 precision of 1.0, 0.856 recall of 5.0, 0.895397489539749 precision of 5.0, 878 perfect matches.
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2023-05-10 04:12:25,446 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 04:12:25,446 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.488 mean absolute error, 1.952 mean squared error, 0.9 recall of 1.0, 0.8620689655172413 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.856 recall of 5.0, 0.895397489539749 precision of 5.0, 878 perfect matches.
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2023-05-10 04:13:33,200 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 04:19:15,778 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-10 04:19:15,778 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 04:20:21,539 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.492 mean absolute error, 1.968 mean squared error, 0.89 recall of 1.0, 0.8674463937621832 precision of 1.0, 0.864 recall of 5.0, 0.8870636550308009 precision of 5.0, 877 perfect matches.
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2023-05-10 04:20:21,676 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 04:20:21,677 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.492 mean absolute error, 1.968 mean squared error, 0.89 recall of 1.0, 0.8674463937621832 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.864 recall of 5.0, 0.8870636550308009 precision of 5.0, 877 perfect matches.
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2023-05-10 04:21:26,908 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 04:27:14,282 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-10 04:27:14,283 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 04:28:20,645 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.544 mean absolute error, 2.176 mean squared error, 0.892 recall of 1.0, 0.8446969696969697 precision of 1.0, 0.836 recall of 5.0, 0.885593220338983 precision of 5.0, 864 perfect matches.
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2023-05-10 04:28:21,047 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 04:28:21,047 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.544 mean absolute error, 2.176 mean squared error, 0.892 recall of 1.0, 0.8446969696969697 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.836 recall of 5.0, 0.885593220338983 precision of 5.0, 864 perfect matches.
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2023-05-10 04:29:40,053 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 04:31:20,580 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-10 04:32:24,903 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 04:38:31,942 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2 INFO Training succeeded!
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||
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2023-05-10 04:38:31,943 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 04:39:39,172 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.496 mean absolute error, 1.984 mean squared error, 0.866 recall of 1.0, 0.8836734693877552 precision of 1.0, 0.886 recall of 5.0, 0.8686274509803922 precision of 5.0, 876 perfect matches.
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2023-05-10 04:39:39,311 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 04:39:39,312 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.496 mean absolute error, 1.984 mean squared error, 0.866 recall of 1.0, 0.8836734693877552 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.886 recall of 5.0, 0.8686274509803922 precision of 5.0, 876 perfect matches.
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2023-05-10 04:40:48,231 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 04:46:58,176 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Training succeeded!
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2023-05-10 04:46:58,176 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 04:48:03,765 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.476 mean absolute error, 1.904 mean squared error, 0.872 recall of 1.0, 0.8879837067209776 precision of 1.0, 0.89 recall of 5.0, 0.8742632612966601 precision of 5.0, 881 perfect matches.
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2023-05-10 04:48:03,893 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 04:48:03,893 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.476 mean absolute error, 1.904 mean squared error, 0.872 recall of 1.0, 0.8879837067209776 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.89 recall of 5.0, 0.8742632612966601 precision of 5.0, 881 perfect matches.
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2023-05-10 04:49:11,878 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 04:55:31,159 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-10 04:55:31,159 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 04:56:36,492 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.444 mean absolute error, 1.776 mean squared error, 0.882 recall of 1.0, 0.8945233265720081 precision of 1.0, 0.896 recall of 5.0, 0.883629191321499 precision of 5.0, 889 perfect matches.
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2023-05-10 04:56:36,615 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-10 04:56:36,615 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.444 mean absolute error, 1.776 mean squared error, 0.882 recall of 1.0, 0.8945233265720081 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.896 recall of 5.0, 0.883629191321499 precision of 5.0, 889 perfect matches.
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2023-05-10 04:57:44,990 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 05:04:10,315 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-10 05:04:10,315 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 05:05:15,975 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.56 mean absolute error, 2.24 mean squared error, 0.854 recall of 1.0, 0.8643724696356275 precision of 1.0, 0.866 recall of 5.0, 0.8557312252964426 precision of 5.0, 860 perfect matches.
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2023-05-10 05:05:16,189 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:05:16,190 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.56 mean absolute error, 2.24 mean squared error, 0.854 recall of 1.0, 0.8643724696356275 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.866 recall of 5.0, 0.8557312252964426 precision of 5.0, 860 perfect matches.
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2023-05-10 05:08:02,528 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
|
||
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2023-05-10 05:08:02,529 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1 INFO Training succeeded!
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||
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2023-05-10 05:08:02,529 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
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2023-05-10 05:08:02,594 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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2023-05-10 05:08:02,742 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:08:02,742 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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||
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2023-05-10 05:10:46,903 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
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||
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2023-05-10 05:10:46,903 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1 INFO Training succeeded!
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||
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2023-05-10 05:10:46,903 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
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2023-05-10 05:10:46,972 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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||
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2023-05-10 05:10:47,103 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:10:47,103 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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||
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2023-05-10 05:13:28,479 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
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||
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2023-05-10 05:13:28,479 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1 INFO Training succeeded!
|
||
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2023-05-10 05:13:28,479 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
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||
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2023-05-10 05:13:28,542 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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||
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2023-05-10 05:13:28,669 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:13:28,669 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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||
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2023-05-10 05:16:18,137 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
|
||
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2023-05-10 05:16:18,138 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1 INFO Training succeeded!
|
||
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2023-05-10 05:16:18,138 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
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2023-05-10 05:16:18,223 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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2023-05-10 05:16:18,353 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer INFO Reached target of 1 runs, moving on...
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||
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2023-05-10 05:16:18,353 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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2023-05-10 05:19:07,108 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
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||
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2023-05-10 05:19:07,108 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1 INFO Training succeeded!
|
||
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2023-05-10 05:19:07,109 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 05:19:07,173 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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2023-05-10 05:19:07,317 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-10 05:19:07,317 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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2023-05-10 05:21:47,202 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
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2023-05-10 05:21:47,203 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-10 05:21:47,203 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
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2023-05-10 05:21:47,265 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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2023-05-10 05:21:47,393 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:21:47,393 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
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2023-05-10 05:24:33,310 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 05:27:32,731 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-10 05:27:32,731 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 05:30:02,836 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.228 mean absolute error, 3.07 mean squared error, 0.385 recall of 1.0, 0.5620437956204379 precision of 1.0, 0.27 recall of 2.0, 0.4186046511627907 precision of 2.0, 0.25 recall of 3.0, 0.3067484662576687 precision of 3.0, 0.155 recall of 4.0, 0.4025974025974026 precision of 4.0, 0.76 recall of 5.0, 0.3076923076923077 precision of 5.0, 364 perfect matches.
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2023-05-10 05:30:02,961 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:30:02,962 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.228 mean absolute error, 3.07 mean squared error, 0.385 recall of 1.0, 0.5620437956204379 precision of 1.0, 0.27 recall of 2.0, 0.4186046511627907 precision of 2.0, 0.25 recall of 3.0, 0.3067484662576687 precision of 3.0, 0.155 recall of 4.0, 0.4025974025974026 precision of 4.0, 0.76 recall of 5.0, 0.3076923076923077 precision of 5.0, 364 perfect matches.
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2023-05-10 05:32:46,093 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 05:35:49,963 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-10 05:35:49,963 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 05:38:20,816 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.322 mean absolute error, 3.384 mean squared error, 0.3 recall of 1.0, 0.46875 precision of 1.0, 0.205 recall of 2.0, 0.31297709923664124 precision of 2.0, 0.245 recall of 3.0, 0.3475177304964539 precision of 3.0, 0.1 recall of 4.0, 0.2898550724637681 precision of 4.0, 0.76 recall of 5.0, 0.2862523540489642 precision of 5.0, 322 perfect matches.
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2023-05-10 05:38:20,941 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:38:20,941 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.322 mean absolute error, 3.384 mean squared error, 0.3 recall of 1.0, 0.46875 precision of 1.0, 0.205 recall of 2.0, 0.31297709923664124 precision of 2.0, 0.245 recall of 3.0, 0.3475177304964539 precision of 3.0, 0.1 recall of 4.0, 0.2898550724637681 precision of 4.0, 0.76 recall of 5.0, 0.2862523540489642 precision of 5.0, 322 perfect matches.
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2023-05-10 05:41:28,214 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 05:45:18,280 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training succeeded!
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2023-05-10 05:45:18,280 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 05:48:07,889 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.223 mean absolute error, 2.863 mean squared error, 0.485 recall of 1.0, 0.4041666666666667 precision of 1.0, 0.185 recall of 2.0, 0.29838709677419356 precision of 2.0, 0.15 recall of 3.0, 0.21428571428571427 precision of 3.0, 0.14 recall of 4.0, 0.345679012345679 precision of 4.0, 0.685 recall of 5.0, 0.3301204819277108 precision of 5.0, 329 perfect matches.
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||
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2023-05-10 05:48:08,021 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:48:08,021 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.223 mean absolute error, 2.863 mean squared error, 0.485 recall of 1.0, 0.4041666666666667 precision of 1.0, 0.185 recall of 2.0, 0.29838709677419356 precision of 2.0, 0.15 recall of 3.0, 0.21428571428571427 precision of 3.0, 0.14 recall of 4.0, 0.345679012345679 precision of 4.0, 0.685 recall of 5.0, 0.3301204819277108 precision of 5.0, 329 perfect matches.
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2023-05-10 05:50:57,649 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 05:53:55,869 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Training succeeded!
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||
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2023-05-10 05:53:55,869 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 05:56:18,730 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.3 mean absolute error, 3.272 mean squared error, 0.39 recall of 1.0, 0.46987951807228917 precision of 1.0, 0.25 recall of 2.0, 0.31446540880503143 precision of 2.0, 0.22 recall of 3.0, 0.3333333333333333 precision of 3.0, 0.065 recall of 4.0, 0.2653061224489796 precision of 4.0, 0.715 recall of 5.0, 0.2894736842105263 precision of 5.0, 328 perfect matches.
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2023-05-10 05:56:18,859 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 05:56:18,859 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.3 mean absolute error, 3.272 mean squared error, 0.39 recall of 1.0, 0.46987951807228917 precision of 1.0, 0.25 recall of 2.0, 0.31446540880503143 precision of 2.0, 0.22 recall of 3.0, 0.3333333333333333 precision of 3.0, 0.065 recall of 4.0, 0.2653061224489796 precision of 4.0, 0.715 recall of 5.0, 0.2894736842105263 precision of 5.0, 328 perfect matches.
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2023-05-10 05:59:09,123 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 06:02:46,351 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-10 06:02:46,351 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 06:05:35,637 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.262 mean absolute error, 3.148 mean squared error, 0.35 recall of 1.0, 0.48951048951048953 precision of 1.0, 0.28 recall of 2.0, 0.3076923076923077 precision of 2.0, 0.12 recall of 3.0, 0.34782608695652173 precision of 3.0, 0.14 recall of 4.0, 0.3181818181818182 precision of 4.0, 0.8 recall of 5.0, 0.3088803088803089 precision of 5.0, 338 perfect matches.
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||
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2023-05-10 06:05:35,890 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-10 06:05:35,890 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.262 mean absolute error, 3.148 mean squared error, 0.35 recall of 1.0, 0.48951048951048953 precision of 1.0, 0.28 recall of 2.0, 0.3076923076923077 precision of 2.0, 0.12 recall of 3.0, 0.34782608695652173 precision of 3.0, 0.14 recall of 4.0, 0.3181818181818182 precision of 4.0, 0.8 recall of 5.0, 0.3088803088803089 precision of 5.0, 338 perfect matches.
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||
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2023-05-10 06:08:27,660 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 06:12:37,328 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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||
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2023-05-10 06:12:37,328 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 06:15:45,376 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.37 mean absolute error, 3.576 mean squared error, 0.265 recall of 1.0, 0.4774774774774775 precision of 1.0, 0.305 recall of 2.0, 0.291866028708134 precision of 2.0, 0.185 recall of 3.0, 0.3394495412844037 precision of 3.0, 0.105 recall of 4.0, 0.38181818181818183 precision of 4.0, 0.725 recall of 5.0, 0.2810077519379845 precision of 5.0, 317 perfect matches.
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||
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2023-05-10 06:15:45,507 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 06:15:45,507 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.37 mean absolute error, 3.576 mean squared error, 0.265 recall of 1.0, 0.4774774774774775 precision of 1.0, 0.305 recall of 2.0, 0.291866028708134 precision of 2.0, 0.185 recall of 3.0, 0.3394495412844037 precision of 3.0, 0.105 recall of 4.0, 0.38181818181818183 precision of 4.0, 0.725 recall of 5.0, 0.2810077519379845 precision of 5.0, 317 perfect matches.
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2023-05-10 06:18:38,050 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 06:24:28,753 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-10 06:24:28,754 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 06:25:37,417 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.268 mean absolute error, 3.072 mean squared error, 0.835 recall of 1.0, 0.3280943025540275 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.81 recall of 5.0, 0.329938900203666 precision of 5.0, 329 perfect matches.
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||
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2023-05-10 06:25:37,551 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 06:25:37,551 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.268 mean absolute error, 3.072 mean squared error, 0.835 recall of 1.0, 0.3280943025540275 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.81 recall of 5.0, 0.329938900203666 precision of 5.0, 329 perfect matches.
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||
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2023-05-10 06:28:21,653 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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||
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2023-05-10 06:29:46,700 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 ERROR Training failed, trying again with a different dataset...
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||
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2023-05-10 06:32:38,509 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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||
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2023-05-10 06:38:30,106 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2 INFO Training succeeded!
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||
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2023-05-10 06:38:30,106 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 06:39:35,821 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.268 mean absolute error, 3.072 mean squared error, 0.95 recall of 1.0, 0.2954898911353033 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.73 recall of 5.0, 0.40896358543417366 precision of 5.0, 336 perfect matches.
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||
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2023-05-10 06:39:36,499 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 06:39:36,500 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.268 mean absolute error, 3.072 mean squared error, 0.95 recall of 1.0, 0.2954898911353033 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.73 recall of 5.0, 0.40896358543417366 precision of 5.0, 336 perfect matches.
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||
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2023-05-10 06:42:29,066 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
|
||
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|
2023-05-10 06:44:07,426 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 ERROR Training failed, trying again with a different dataset...
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||
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2023-05-10 06:46:52,248 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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||
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|
2023-05-10 06:49:06,453 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2 ERROR Training failed, trying again with a different dataset...
|
||
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2023-05-10 06:51:46,951 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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||
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2023-05-10 06:57:59,348 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3 INFO Training succeeded!
|
||
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2023-05-10 06:57:59,349 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
|
||
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2023-05-10 06:59:06,402 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.262 mean absolute error, 3.048 mean squared error, 0.835 recall of 1.0, 0.35084033613445376 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.835 recall of 5.0, 0.3187022900763359 precision of 5.0, 334 perfect matches.
|
||
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2023-05-10 06:59:06,643 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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||
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2023-05-10 06:59:06,643 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.262 mean absolute error, 3.048 mean squared error, 0.835 recall of 1.0, 0.35084033613445376 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.835 recall of 5.0, 0.3187022900763359 precision of 5.0, 334 perfect matches.
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||
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2023-05-10 07:01:52,956 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
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||
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|
2023-05-10 07:03:13,863 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 ERROR Training failed, trying again with a different dataset...
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||
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2023-05-10 07:06:04,939 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
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||
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|
2023-05-10 07:12:15,494 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2 INFO Training succeeded!
|
||
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|
2023-05-10 07:12:15,494 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
|
||
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|
2023-05-10 07:13:21,378 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.198 mean absolute error, 2.792 mean squared error, 0.875 recall of 1.0, 0.32710280373831774 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.86 recall of 5.0, 0.36989247311827955 precision of 5.0, 347 perfect matches.
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||
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2023-05-10 07:13:21,534 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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||
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2023-05-10 07:13:21,534 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.198 mean absolute error, 2.792 mean squared error, 0.875 recall of 1.0, 0.32710280373831774 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.86 recall of 5.0, 0.36989247311827955 precision of 5.0, 347 perfect matches.
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2023-05-10 07:16:12,097 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 07:22:13,792 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-10 07:22:13,824 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 07:23:21,430 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.26 mean absolute error, 3.04 mean squared error, 0.78 recall of 1.0, 0.37681159420289856 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.905 recall of 5.0, 0.30887372013651876 precision of 5.0, 337 perfect matches.
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2023-05-10 07:23:22,038 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-10 07:23:22,039 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.26 mean absolute error, 3.04 mean squared error, 0.78 recall of 1.0, 0.37681159420289856 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.905 recall of 5.0, 0.30887372013651876 precision of 5.0, 337 perfect matches.
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2023-05-10 07:26:44,423 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 07:33:19,940 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-10 07:33:19,940 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 07:34:25,839 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.166 mean absolute error, 2.664 mean squared error, 0.885 recall of 1.0, 0.33270676691729323 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.88 recall of 5.0, 0.37606837606837606 precision of 5.0, 353 perfect matches.
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2023-05-10 07:34:26,008 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 07:34:26,008 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.166 mean absolute error, 2.664 mean squared error, 0.885 recall of 1.0, 0.33270676691729323 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.88 recall of 5.0, 0.37606837606837606 precision of 5.0, 353 perfect matches.
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2023-05-10 07:37:14,490 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 07:43:43,502 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-10 07:43:43,514 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-10 07:44:50,262 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.898 mean absolute error, 1.814 mean squared error, 0.465 recall of 1.0, 0.5470588235294118 precision of 1.0, 0.285 recall of 2.0, 0.3275862068965517 precision of 2.0, 0.4 recall of 3.0, 0.33755274261603374 precision of 3.0, 0.46 recall of 4.0, 0.36507936507936506 precision of 4.0, 0.45 recall of 5.0, 0.5389221556886228 precision of 5.0, 412 perfect matches.
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2023-05-10 07:44:50,825 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 07:44:50,825 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.898 mean absolute error, 1.814 mean squared error, 0.465 recall of 1.0, 0.5470588235294118 precision of 1.0, 0.285 recall of 2.0, 0.3275862068965517 precision of 2.0, 0.4 recall of 3.0, 0.33755274261603374 precision of 3.0, 0.46 recall of 4.0, 0.36507936507936506 precision of 4.0, 0.45 recall of 5.0, 0.5389221556886228 precision of 5.0, 412 perfect matches.
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2023-05-10 07:47:44,517 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 07:54:02,202 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-10 07:54:02,202 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-10 07:55:08,378 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.802 mean absolute error, 1.4 mean squared error, 0.49 recall of 1.0, 0.5632183908045977 precision of 1.0, 0.4 recall of 2.0, 0.40404040404040403 precision of 2.0, 0.385 recall of 3.0, 0.3181818181818182 precision of 3.0, 0.425 recall of 4.0, 0.34274193548387094 precision of 4.0, 0.435 recall of 5.0, 0.6304347826086957 precision of 5.0, 427 perfect matches.
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2023-05-10 07:55:08,555 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 07:55:08,555 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.802 mean absolute error, 1.4 mean squared error, 0.49 recall of 1.0, 0.5632183908045977 precision of 1.0, 0.4 recall of 2.0, 0.40404040404040403 precision of 2.0, 0.385 recall of 3.0, 0.3181818181818182 precision of 3.0, 0.425 recall of 4.0, 0.34274193548387094 precision of 4.0, 0.435 recall of 5.0, 0.6304347826086957 precision of 5.0, 427 perfect matches.
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2023-05-10 08:00:05,468 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 08:06:41,780 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Training succeeded!
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2023-05-10 08:06:41,802 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-10 08:07:52,749 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.818 mean absolute error, 1.5 mean squared error, 0.64 recall of 1.0, 0.5161290322580645 precision of 1.0, 0.335 recall of 2.0, 0.335 precision of 2.0, 0.305 recall of 3.0, 0.3674698795180723 precision of 3.0, 0.35 recall of 4.0, 0.3645833333333333 precision of 4.0, 0.54 recall of 5.0, 0.5567010309278351 precision of 5.0, 434 perfect matches.
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2023-05-10 08:07:53,300 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 08:07:53,300 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.818 mean absolute error, 1.5 mean squared error, 0.64 recall of 1.0, 0.5161290322580645 precision of 1.0, 0.335 recall of 2.0, 0.335 precision of 2.0, 0.305 recall of 3.0, 0.3674698795180723 precision of 3.0, 0.35 recall of 4.0, 0.3645833333333333 precision of 4.0, 0.54 recall of 5.0, 0.5567010309278351 precision of 5.0, 434 perfect matches.
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2023-05-10 08:10:37,480 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 08:12:17,017 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-10 08:14:55,878 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 08:21:08,091 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2 INFO Training succeeded!
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2023-05-10 08:21:08,119 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-10 08:22:16,428 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.818 mean absolute error, 1.508 mean squared error, 0.535 recall of 1.0, 0.5944444444444444 precision of 1.0, 0.265 recall of 2.0, 0.38405797101449274 precision of 2.0, 0.315 recall of 3.0, 0.3058252427184466 precision of 3.0, 0.375 recall of 4.0, 0.33783783783783783 precision of 4.0, 0.665 recall of 5.0, 0.5236220472440944 precision of 5.0, 431 perfect matches.
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2023-05-10 08:22:16,691 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 08:22:16,691 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.818 mean absolute error, 1.508 mean squared error, 0.535 recall of 1.0, 0.5944444444444444 precision of 1.0, 0.265 recall of 2.0, 0.38405797101449274 precision of 2.0, 0.315 recall of 3.0, 0.3058252427184466 precision of 3.0, 0.375 recall of 4.0, 0.33783783783783783 precision of 4.0, 0.665 recall of 5.0, 0.5236220472440944 precision of 5.0, 431 perfect matches.
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2023-05-10 08:26:02,329 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 08:28:06,424 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 ERROR Training failed, trying again with a different dataset...
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2023-05-10 08:32:22,638 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.2 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 08:33:54,843 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.2 ERROR Training failed, trying again with a different dataset...
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2023-05-10 08:37:32,588 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.3 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 08:43:37,800 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.3 INFO Training succeeded!
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2023-05-10 08:43:37,800 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.3 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-10 08:44:51,705 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.3 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.811 mean absolute error, 1.505 mean squared error, 0.565 recall of 1.0, 0.5330188679245284 precision of 1.0, 0.43 recall of 2.0, 0.4321608040201005 precision of 2.0, 0.38 recall of 3.0, 0.3958333333333333 precision of 3.0, 0.31 recall of 4.0, 0.3229166666666667 precision of 4.0, 0.55 recall of 5.0, 0.5365853658536586 precision of 5.0, 447 perfect matches.
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2023-05-10 08:44:51,876 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-10 08:44:51,876 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.811 mean absolute error, 1.505 mean squared error, 0.565 recall of 1.0, 0.5330188679245284 precision of 1.0, 0.43 recall of 2.0, 0.4321608040201005 precision of 2.0, 0.38 recall of 3.0, 0.3958333333333333 precision of 3.0, 0.31 recall of 4.0, 0.3229166666666667 precision of 4.0, 0.55 recall of 5.0, 0.5365853658536586 precision of 5.0, 447 perfect matches.
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2023-05-10 08:47:42,022 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 08:53:33,282 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-10 08:53:33,282 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-10 08:54:41,498 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.782 mean absolute error, 1.446 mean squared error, 0.495 recall of 1.0, 0.5210526315789473 precision of 1.0, 0.295 recall of 2.0, 0.38562091503267976 precision of 2.0, 0.46 recall of 3.0, 0.3484848484848485 precision of 3.0, 0.475 recall of 4.0, 0.4148471615720524 precision of 4.0, 0.52 recall of 5.0, 0.6341463414634146 precision of 5.0, 449 perfect matches.
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2023-05-10 08:54:41,783 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-10 08:54:41,783 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.782 mean absolute error, 1.446 mean squared error, 0.495 recall of 1.0, 0.5210526315789473 precision of 1.0, 0.295 recall of 2.0, 0.38562091503267976 precision of 2.0, 0.46 recall of 3.0, 0.3484848484848485 precision of 3.0, 0.475 recall of 4.0, 0.4148471615720524 precision of 4.0, 0.52 recall of 5.0, 0.6341463414634146 precision of 5.0, 449 perfect matches.
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