mirror of
https://github.com/Steffo99/unimore-bda-6.git
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314 lines
78 KiB
Text
314 lines
78 KiB
Text
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2023-05-11 02:48:14,590 __main__ INFO Started unimore-bda-6 in PRODUCTION mode!
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2023-05-11 02:49:48,525 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
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2023-05-11 02:49:48,526 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1 INFO Training succeeded!
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2023-05-11 02:49:48,526 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
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2023-05-11 02:49:48,592 __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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2023-05-11 02:49:48,734 __main__.sample_reviews_polar.ThreeCheat.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 02:49:48,735 __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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2023-05-11 02:50:55,949 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
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2023-05-11 02:50:55,949 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-11 02:50:55,950 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
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2023-05-11 02:50:56,012 __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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2023-05-11 02:50:56,145 __main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 02:50:56,146 __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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2023-05-11 02:52:02,513 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
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2023-05-11 02:52:02,513 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1 INFO Training succeeded!
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2023-05-11 02:52:02,513 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
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2023-05-11 02:52:02,585 __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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2023-05-11 02:52:02,719 __main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 02:52:02,720 __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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2023-05-11 02:53:07,430 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
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2023-05-11 02:53:07,430 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1 INFO Training succeeded!
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2023-05-11 02:53:07,430 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
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2023-05-11 02:53:07,493 __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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2023-05-11 02:53:07,625 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 02:53:07,625 __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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2023-05-11 02:54:10,919 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 02:54:10,919 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-11 02:54:10,920 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 02:54:10,981 __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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2023-05-11 02:54:11,118 __main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-11 02:54:11,118 __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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2023-05-11 02:55:20,447 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
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2023-05-11 02:55:20,447 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-11 02:55:20,447 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
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2023-05-11 02:55:20,511 __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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2023-05-11 02:55:20,642 __main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 02:55:20,642 __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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2023-05-11 02:56:25,464 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 02:58:39,936 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-11 02:58:39,936 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 02:59:42,928 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.112 mean absolute error, 4.448 mean squared error, 0.6 recall of 1.0, 0.7936507936507936 precision of 1.0, 0.844 recall of 5.0, 0.6784565916398714 precision of 5.0, 722 perfect matches.
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2023-05-11 02:59:43,056 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 02:59:43,056 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.112 mean absolute error, 4.448 mean squared error, 0.6 recall of 1.0, 0.7936507936507936 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, 0.844 recall of 5.0, 0.6784565916398714 precision of 5.0, 722 perfect matches.
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2023-05-11 03:00:49,870 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 03:02:52,781 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-11 03:02:52,782 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 03:03:51,289 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.844 mean absolute error, 3.376 mean squared error, 0.732 recall of 1.0, 0.8261851015801355 precision of 1.0, 0.846 recall of 5.0, 0.7594254937163375 precision of 5.0, 789 perfect matches.
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2023-05-11 03:03:51,434 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 03:03:51,434 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.844 mean absolute error, 3.376 mean squared error, 0.732 recall of 1.0, 0.8261851015801355 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, 0.7594254937163375 precision of 5.0, 789 perfect matches.
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2023-05-11 03:04:58,344 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 03:07:37,201 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training succeeded!
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2023-05-11 03:07:37,201 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 03:08:44,021 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.016 mean absolute error, 4.064 mean squared error, 0.636 recall of 1.0, 0.8153846153846154 precision of 1.0, 0.856 recall of 5.0, 0.7016393442622951 precision of 5.0, 746 perfect matches.
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2023-05-11 03:08:44,148 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 03:08:44,148 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.016 mean absolute error, 4.064 mean squared error, 0.636 recall of 1.0, 0.8153846153846154 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, 0.7016393442622951 precision of 5.0, 746 perfect matches.
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2023-05-11 03:09:48,163 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 03:11:49,951 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Training succeeded!
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2023-05-11 03:11:49,951 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 03:12:44,566 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.876 mean absolute error, 3.504 mean squared error, 0.676 recall of 1.0, 0.8556962025316456 precision of 1.0, 0.886 recall of 5.0, 0.7322314049586777 precision of 5.0, 781 perfect matches.
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2023-05-11 03:12:44,692 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 03:12:44,693 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.876 mean absolute error, 3.504 mean squared error, 0.676 recall of 1.0, 0.8556962025316456 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, 0.7322314049586777 precision of 5.0, 781 perfect matches.
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2023-05-11 03:13:49,881 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 03:16:25,770 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-11 03:16:25,770 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 03:17:35,774 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.14 mean absolute error, 4.56 mean squared error, 0.588 recall of 1.0, 0.7882037533512064 precision of 1.0, 0.842 recall of 5.0, 0.671451355661882 precision of 5.0, 715 perfect matches.
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2023-05-11 03:17:35,900 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-11 03:17:35,901 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.14 mean absolute error, 4.56 mean squared error, 0.588 recall of 1.0, 0.7882037533512064 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, 0.671451355661882 precision of 5.0, 715 perfect matches.
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2023-05-11 03:18:42,935 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 03:21:38,474 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-11 03:21:38,474 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 03:22:56,163 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.256 mean absolute error, 5.024 mean squared error, 0.566 recall of 1.0, 0.7447368421052631 precision of 1.0, 0.806 recall of 5.0, 0.65 precision of 5.0, 686 perfect matches.
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2023-05-11 03:22:56,290 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 03:22:56,290 __main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.256 mean absolute error, 5.024 mean squared error, 0.566 recall of 1.0, 0.7447368421052631 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, 0.806 recall of 5.0, 0.65 precision of 5.0, 686 perfect matches.
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2023-05-11 03:24:02,140 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 03:29:36,914 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-11 03:29:36,914 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 03:30:44,840 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.592 mean absolute error, 2.368 mean squared error, 0.882 recall of 1.0, 0.8320754716981132 precision of 1.0, 0.822 recall of 5.0, 0.874468085106383 precision of 5.0, 852 perfect matches.
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2023-05-11 03:30:44,974 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 03:30:44,975 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.592 mean absolute error, 2.368 mean squared error, 0.882 recall of 1.0, 0.8320754716981132 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, 0.822 recall of 5.0, 0.874468085106383 precision of 5.0, 852 perfect matches.
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2023-05-11 03:31:49,377 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 03:32:16,324 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-11 03:33:20,469 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 03:38:59,808 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2 INFO Training succeeded!
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2023-05-11 03:38:59,808 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 03:40:06,999 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.54 mean absolute error, 2.16 mean squared error, 0.892 recall of 1.0, 0.8462998102466793 precision of 1.0, 0.838 recall of 5.0, 0.8858350951374208 precision of 5.0, 865 perfect matches.
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2023-05-11 03:40:07,158 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 03:40:07,159 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.54 mean absolute error, 2.16 mean squared error, 0.892 recall of 1.0, 0.8462998102466793 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, 0.8858350951374208 precision of 5.0, 865 perfect matches.
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2023-05-11 03:41:10,657 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 03:43:06,232 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-11 03:44:05,808 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 03:45:57,648 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2 ERROR Training failed, trying again with a different dataset...
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2023-05-11 03:47:02,141 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 03:48:52,237 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3 ERROR Training failed, trying again with a different dataset...
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2023-05-11 03:49:53,364 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.4 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 03:50:31,650 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.4 ERROR Training failed, trying again with a different dataset...
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2023-05-11 03:51:37,108 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.5 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 03:57:18,501 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.5 INFO Training succeeded!
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2023-05-11 03:57:18,501 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.5 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 03:58:26,860 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.5 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.532 mean absolute error, 2.128 mean squared error, 0.832 recall of 1.0, 0.8946236559139785 precision of 1.0, 0.902 recall of 5.0, 0.8429906542056075 precision of 5.0, 867 perfect matches.
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2023-05-11 03:58:26,989 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 03:58:26,989 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.532 mean absolute error, 2.128 mean squared error, 0.832 recall of 1.0, 0.8946236559139785 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, 0.902 recall of 5.0, 0.8429906542056075 precision of 5.0, 867 perfect matches.
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2023-05-11 03:59:31,548 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 04:05:13,976 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Training succeeded!
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2023-05-11 04:05:13,976 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 04:06:21,379 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.532 mean absolute error, 2.128 mean squared error, 0.882 recall of 1.0, 0.8563106796116505 precision of 1.0, 0.852 recall of 5.0, 0.8783505154639175 precision of 5.0, 867 perfect matches.
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2023-05-11 04:06:21,519 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 04:06:21,520 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.532 mean absolute error, 2.128 mean squared error, 0.882 recall of 1.0, 0.8563106796116505 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, 0.852 recall of 5.0, 0.8783505154639175 precision of 5.0, 867 perfect matches.
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2023-05-11 04:07:28,406 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 04:13:09,604 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-11 04:13:09,605 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 04:14:16,831 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.456 mean absolute error, 1.824 mean squared error, 0.878 recall of 1.0, 0.8922764227642277 precision of 1.0, 0.894 recall of 5.0, 0.8799212598425197 precision of 5.0, 886 perfect matches.
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2023-05-11 04:14:16,980 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-11 04:14:16,980 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.456 mean absolute error, 1.824 mean squared error, 0.878 recall of 1.0, 0.8922764227642277 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, 0.8799212598425197 precision of 5.0, 886 perfect matches.
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2023-05-11 04:15:23,775 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 04:21:02,974 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-11 04:21:02,975 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 04:22:10,742 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.632 mean absolute error, 2.528 mean squared error, 0.894 recall of 1.0, 0.8097826086956522 precision of 1.0, 0.79 recall of 5.0, 0.8816964285714286 precision of 5.0, 842 perfect matches.
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2023-05-11 04:22:10,870 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 04:22:10,870 __main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.632 mean absolute error, 2.528 mean squared error, 0.894 recall of 1.0, 0.8097826086956522 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, 0.79 recall of 5.0, 0.8816964285714286 precision of 5.0, 842 perfect matches.
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2023-05-11 04:23:16,722 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 04:28:49,797 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-11 04:28:49,798 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 04:29:56,264 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.508 mean absolute error, 2.032 mean squared error, 0.896 recall of 1.0, 0.8565965583173997 precision of 1.0, 0.85 recall of 5.0, 0.8909853249475891 precision of 5.0, 873 perfect matches.
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2023-05-11 04:29:56,391 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 04:29:56,392 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.508 mean absolute error, 2.032 mean squared error, 0.896 recall of 1.0, 0.8565965583173997 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, 0.85 recall of 5.0, 0.8909853249475891 precision of 5.0, 873 perfect matches.
|
||
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2023-05-11 04:31:01,629 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 04:36:38,357 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-11 04:36:38,358 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 04:37:45,390 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.552 mean absolute error, 2.208 mean squared error, 0.838 recall of 1.0, 0.8802521008403361 precision of 1.0, 0.886 recall of 5.0, 0.8454198473282443 precision of 5.0, 862 perfect matches.
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2023-05-11 04:37:45,519 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 04:37:45,519 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.552 mean absolute error, 2.208 mean squared error, 0.838 recall of 1.0, 0.8802521008403361 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, 0.8454198473282443 precision of 5.0, 862 perfect matches.
|
||
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2023-05-11 04:38:49,338 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 04:44:27,594 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Training succeeded!
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||
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2023-05-11 04:44:27,595 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 04:45:35,966 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.52 mean absolute error, 2.08 mean squared error, 0.87 recall of 1.0, 0.87 precision of 1.0, 0.87 recall of 5.0, 0.87 precision of 5.0, 870 perfect matches.
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2023-05-11 04:45:36,333 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 04:45:36,333 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.52 mean absolute error, 2.08 mean squared error, 0.87 recall of 1.0, 0.87 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, 0.87 recall of 5.0, 0.87 precision of 5.0, 870 perfect matches.
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2023-05-11 04:46:42,506 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 04:48:23,021 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-11 04:49:26,469 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 04:55:07,754 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2 INFO Training succeeded!
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||
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2023-05-11 04:55:07,770 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 04:56:14,805 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.468 mean absolute error, 1.872 mean squared error, 0.908 recall of 1.0, 0.8647619047619047 precision of 1.0, 0.858 recall of 5.0, 0.9031578947368422 precision of 5.0, 883 perfect matches.
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2023-05-11 04:56:14,983 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 04:56:14,983 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.468 mean absolute error, 1.872 mean squared error, 0.908 recall of 1.0, 0.8647619047619047 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, 0.9031578947368422 precision of 5.0, 883 perfect matches.
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||
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2023-05-11 04:57:21,995 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 05:03:07,053 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-11 05:03:07,064 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 05:04:13,641 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.576 mean absolute error, 2.304 mean squared error, 0.814 recall of 1.0, 0.888646288209607 precision of 1.0, 0.898 recall of 5.0, 0.8284132841328413 precision of 5.0, 856 perfect matches.
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||
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2023-05-11 05:04:13,776 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-11 05:04:13,776 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.576 mean absolute error, 2.304 mean squared error, 0.814 recall of 1.0, 0.888646288209607 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, 0.8284132841328413 precision of 5.0, 856 perfect matches.
|
||
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2023-05-11 05:05:23,420 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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||
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2023-05-11 05:11:11,965 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
|
||
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2023-05-11 05:11:11,974 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 05:12:19,280 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.58 mean absolute error, 2.32 mean squared error, 0.864 recall of 1.0, 0.8487229862475442 precision of 1.0, 0.846 recall of 5.0, 0.8615071283095723 precision of 5.0, 855 perfect matches.
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||
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2023-05-11 05:12:19,427 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 05:12:19,427 __main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.58 mean absolute error, 2.32 mean squared error, 0.864 recall of 1.0, 0.8487229862475442 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, 0.8615071283095723 precision of 5.0, 855 perfect matches.
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||
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2023-05-11 05:15:05,229 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
|
||
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2023-05-11 05:15:05,230 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1 INFO Training succeeded!
|
||
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2023-05-11 05:15:05,230 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
|
||
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2023-05-11 05:15:05,293 __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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2023-05-11 05:15:05,424 __main__.sample_reviews_varied.ThreeCheat.PlainTokenizer INFO Reached target of 1 runs, moving on...
|
||
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2023-05-11 05:15:05,424 __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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2023-05-11 05:17:48,478 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
|
||
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2023-05-11 05:17:48,478 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1 INFO Training succeeded!
|
||
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2023-05-11 05:17:48,478 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
|
||
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2023-05-11 05:17:48,542 __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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2023-05-11 05:17:48,676 __main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
|
||
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2023-05-11 05:17:48,676 __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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2023-05-11 05:20:27,731 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
|
||
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2023-05-11 05:20:27,731 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1 INFO Training succeeded!
|
||
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2023-05-11 05:20:27,731 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
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||
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2023-05-11 05:20:27,793 __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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2023-05-11 05:20:27,927 __main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
|
||
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2023-05-11 05:20:27,927 __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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2023-05-11 05:23:06,291 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
|
||
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2023-05-11 05:23:06,291 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1 INFO Training succeeded!
|
||
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2023-05-11 05:23:06,291 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
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2023-05-11 05:23:06,353 __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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2023-05-11 05:23:06,485 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 05:23:06,485 __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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2023-05-11 05:25:50,794 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 05:25:50,795 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-11 05:25:50,795 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 05:25:50,861 __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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2023-05-11 05:25:51,000 __main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-11 05:25:51,000 __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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2023-05-11 05:28:23,292 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
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2023-05-11 05:28:23,293 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-11 05:28:23,293 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
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2023-05-11 05:28:23,356 __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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2023-05-11 05:28:23,492 __main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 05:28:23,492 __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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2023-05-11 05:30:59,419 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 05:33:45,267 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-11 05:33:45,267 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 05:36:08,901 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.294 mean absolute error, 3.25 mean squared error, 0.295 recall of 1.0, 0.3959731543624161 precision of 1.0, 0.25 recall of 2.0, 0.33557046979865773 precision of 2.0, 0.215 recall of 3.0, 0.30935251798561153 precision of 3.0, 0.145 recall of 4.0, 0.3670886075949367 precision of 4.0, 0.715 recall of 5.0, 0.29545454545454547 precision of 5.0, 324 perfect matches.
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2023-05-11 05:36:09,028 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 05:36:09,028 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.294 mean absolute error, 3.25 mean squared error, 0.295 recall of 1.0, 0.3959731543624161 precision of 1.0, 0.25 recall of 2.0, 0.33557046979865773 precision of 2.0, 0.215 recall of 3.0, 0.30935251798561153 precision of 3.0, 0.145 recall of 4.0, 0.3670886075949367 precision of 4.0, 0.715 recall of 5.0, 0.29545454545454547 precision of 5.0, 324 perfect matches.
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2023-05-11 05:38:51,579 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 05:41:34,342 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-11 05:41:34,343 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 05:43:55,712 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.168 mean absolute error, 2.712 mean squared error, 0.45 recall of 1.0, 0.40358744394618834 precision of 1.0, 0.22 recall of 2.0, 0.3333333333333333 precision of 2.0, 0.205 recall of 3.0, 0.27702702702702703 precision of 3.0, 0.165 recall of 4.0, 0.35106382978723405 precision of 4.0, 0.66 recall of 5.0, 0.32754342431761785 precision of 5.0, 340 perfect matches.
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2023-05-11 05:43:55,846 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 05:43:55,846 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.168 mean absolute error, 2.712 mean squared error, 0.45 recall of 1.0, 0.40358744394618834 precision of 1.0, 0.22 recall of 2.0, 0.3333333333333333 precision of 2.0, 0.205 recall of 3.0, 0.27702702702702703 precision of 3.0, 0.165 recall of 4.0, 0.35106382978723405 precision of 4.0, 0.66 recall of 5.0, 0.32754342431761785 precision of 5.0, 340 perfect matches.
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2023-05-11 05:46:36,773 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 05:49:59,188 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training succeeded!
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2023-05-11 05:49:59,188 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 05:52:40,968 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.285 mean absolute error, 3.131 mean squared error, 0.395 recall of 1.0, 0.45664739884393063 precision of 1.0, 0.22 recall of 2.0, 0.2732919254658385 precision of 2.0, 0.15 recall of 3.0, 0.28846153846153844 precision of 3.0, 0.14 recall of 4.0, 0.34146341463414637 precision of 4.0, 0.69 recall of 5.0, 0.2875 precision of 5.0, 319 perfect matches.
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2023-05-11 05:52:41,107 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 05:52:41,107 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.285 mean absolute error, 3.131 mean squared error, 0.395 recall of 1.0, 0.45664739884393063 precision of 1.0, 0.22 recall of 2.0, 0.2732919254658385 precision of 2.0, 0.15 recall of 3.0, 0.28846153846153844 precision of 3.0, 0.14 recall of 4.0, 0.34146341463414637 precision of 4.0, 0.69 recall of 5.0, 0.2875 precision of 5.0, 319 perfect matches.
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2023-05-11 05:55:20,971 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 05:58:17,583 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Training succeeded!
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2023-05-11 05:58:17,596 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 06:00:39,479 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.225 mean absolute error, 3.039 mean squared error, 0.395 recall of 1.0, 0.5096774193548387 precision of 1.0, 0.3 recall of 2.0, 0.35294117647058826 precision of 2.0, 0.195 recall of 3.0, 0.35454545454545455 precision of 3.0, 0.18 recall of 4.0, 0.43373493975903615 precision of 4.0, 0.73 recall of 5.0, 0.3029045643153527 precision of 5.0, 360 perfect matches.
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2023-05-11 06:00:39,626 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 06:00:39,626 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.225 mean absolute error, 3.039 mean squared error, 0.395 recall of 1.0, 0.5096774193548387 precision of 1.0, 0.3 recall of 2.0, 0.35294117647058826 precision of 2.0, 0.195 recall of 3.0, 0.35454545454545455 precision of 3.0, 0.18 recall of 4.0, 0.43373493975903615 precision of 4.0, 0.73 recall of 5.0, 0.3029045643153527 precision of 5.0, 360 perfect matches.
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2023-05-11 06:03:25,843 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 06:06:52,942 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-11 06:06:52,952 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 06:09:38,098 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.317 mean absolute error, 3.321 mean squared error, 0.36 recall of 1.0, 0.4864864864864865 precision of 1.0, 0.1 recall of 2.0, 0.2564102564102564 precision of 2.0, 0.275 recall of 3.0, 0.3005464480874317 precision of 3.0, 0.11 recall of 4.0, 0.2857142857142857 precision of 4.0, 0.745 recall of 5.0, 0.2898832684824903 precision of 5.0, 318 perfect matches.
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2023-05-11 06:09:38,271 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-11 06:09:38,271 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.317 mean absolute error, 3.321 mean squared error, 0.36 recall of 1.0, 0.4864864864864865 precision of 1.0, 0.1 recall of 2.0, 0.2564102564102564 precision of 2.0, 0.275 recall of 3.0, 0.3005464480874317 precision of 3.0, 0.11 recall of 4.0, 0.2857142857142857 precision of 4.0, 0.745 recall of 5.0, 0.2898832684824903 precision of 5.0, 318 perfect matches.
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2023-05-11 06:12:25,893 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 06:16:09,381 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-11 06:16:09,398 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 06:19:06,604 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.389 mean absolute error, 3.683 mean squared error, 0.24 recall of 1.0, 0.45714285714285713 precision of 1.0, 0.3 recall of 2.0, 0.3488372093023256 precision of 2.0, 0.185 recall of 3.0, 0.3557692307692308 precision of 3.0, 0.12 recall of 4.0, 0.3582089552238806 precision of 4.0, 0.765 recall of 5.0, 0.27717391304347827 precision of 5.0, 322 perfect matches.
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2023-05-11 06:19:06,790 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 06:19:06,791 __main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.389 mean absolute error, 3.683 mean squared error, 0.24 recall of 1.0, 0.45714285714285713 precision of 1.0, 0.3 recall of 2.0, 0.3488372093023256 precision of 2.0, 0.185 recall of 3.0, 0.3557692307692308 precision of 3.0, 0.12 recall of 4.0, 0.3582089552238806 precision of 4.0, 0.765 recall of 5.0, 0.27717391304347827 precision of 5.0, 322 perfect matches.
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||
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2023-05-11 06:21:46,236 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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||
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2023-05-11 06:23:41,778 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-11 06:26:16,216 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 06:31:53,135 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2 INFO Training succeeded!
|
||
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2023-05-11 06:31:53,135 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 06:32:58,331 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.296 mean absolute error, 3.184 mean squared error, 0.755 recall of 1.0, 0.3813131313131313 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, 0.2996688741721854 precision of 5.0, 332 perfect matches.
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||
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2023-05-11 06:32:58,581 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 06:32:58,581 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.296 mean absolute error, 3.184 mean squared error, 0.755 recall of 1.0, 0.3813131313131313 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, 0.2996688741721854 precision of 5.0, 332 perfect matches.
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||
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2023-05-11 06:35:39,785 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 06:41:18,873 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Training succeeded!
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2023-05-11 06:41:18,896 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 06:42:25,156 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.26 mean absolute error, 3.04 mean squared error, 0.835 recall of 1.0, 0.3599137931034483 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, 0.865 recall of 5.0, 0.32276119402985076 precision of 5.0, 340 perfect matches.
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||
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2023-05-11 06:42:25,409 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 06:42:25,410 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.26 mean absolute error, 3.04 mean squared error, 0.835 recall of 1.0, 0.3599137931034483 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, 0.865 recall of 5.0, 0.32276119402985076 precision of 5.0, 340 perfect matches.
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||
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2023-05-11 06:45:10,671 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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||
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2023-05-11 06:46:43,952 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1 ERROR Training failed, trying again with a different dataset...
|
||
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2023-05-11 06:49:25,586 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
|
||
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2023-05-11 06:55:07,069 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2 INFO Training succeeded!
|
||
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2023-05-11 06:55:07,069 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 06:56:15,006 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.314 mean absolute error, 3.256 mean squared error, 0.805 recall of 1.0, 0.3425531914893617 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, 0.85 recall of 5.0, 0.32075471698113206 precision of 5.0, 331 perfect matches.
|
||
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2023-05-11 06:56:15,140 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 06:56:15,140 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.314 mean absolute error, 3.256 mean squared error, 0.805 recall of 1.0, 0.3425531914893617 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, 0.85 recall of 5.0, 0.32075471698113206 precision of 5.0, 331 perfect matches.
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||
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2023-05-11 06:58:58,711 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
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||
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2023-05-11 07:04:38,625 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Training succeeded!
|
||
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2023-05-11 07:04:38,625 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
|
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2023-05-11 07:05:44,313 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.222 mean absolute error, 2.888 mean squared error, 0.89 recall of 1.0, 0.3531746031746032 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, 0.83 recall of 5.0, 0.3346774193548387 precision of 5.0, 344 perfect matches.
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2023-05-11 07:05:44,444 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 07:05:44,445 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.222 mean absolute error, 2.888 mean squared error, 0.89 recall of 1.0, 0.3531746031746032 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, 0.83 recall of 5.0, 0.3346774193548387 precision of 5.0, 344 perfect matches.
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2023-05-11 07:08:21,790 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 07:08:53,099 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1 ERROR Training failed, trying again with a different dataset...
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2023-05-11 07:11:31,829 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.2 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 07:17:13,843 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.2 INFO Training succeeded!
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2023-05-11 07:17:13,844 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.2 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 07:18:20,057 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.224 mean absolute error, 2.896 mean squared error, 0.84 recall of 1.0, 0.33399602385685884 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, 0.855 recall of 5.0, 0.3440643863179074 precision of 5.0, 339 perfect matches.
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2023-05-11 07:18:20,188 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-11 07:18:20,188 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.224 mean absolute error, 2.896 mean squared error, 0.84 recall of 1.0, 0.33399602385685884 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, 0.855 recall of 5.0, 0.3440643863179074 precision of 5.0, 339 perfect matches.
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2023-05-11 07:21:03,959 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 07:26:32,065 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
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2023-05-11 07:26:32,080 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 07:27:38,139 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 1.198 mean absolute error, 2.792 mean squared error, 0.845 recall of 1.0, 0.3373253493013972 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, 0.87 recall of 5.0, 0.3486973947895792 precision of 5.0, 343 perfect matches.
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2023-05-11 07:27:38,367 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 07:27:38,367 __main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.198 mean absolute error, 2.792 mean squared error, 0.845 recall of 1.0, 0.3373253493013972 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, 0.87 recall of 5.0, 0.3486973947895792 precision of 5.0, 343 perfect matches.
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2023-05-11 07:30:20,832 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 07:35:46,481 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Training succeeded!
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2023-05-11 07:35:46,482 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
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2023-05-11 07:36:52,441 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.875 mean absolute error, 1.557 mean squared error, 0.44 recall of 1.0, 0.5432098765432098 precision of 1.0, 0.335 recall of 2.0, 0.3544973544973545 precision of 2.0, 0.32 recall of 3.0, 0.2570281124497992 precision of 3.0, 0.31 recall of 4.0, 0.3229166666666667 precision of 4.0, 0.575 recall of 5.0, 0.5528846153846154 precision of 5.0, 396 perfect matches.
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2023-05-11 07:36:52,597 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 07:36:52,597 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.875 mean absolute error, 1.557 mean squared error, 0.44 recall of 1.0, 0.5432098765432098 precision of 1.0, 0.335 recall of 2.0, 0.3544973544973545 precision of 2.0, 0.32 recall of 3.0, 0.2570281124497992 precision of 3.0, 0.31 recall of 4.0, 0.3229166666666667 precision of 4.0, 0.575 recall of 5.0, 0.5528846153846154 precision of 5.0, 396 perfect matches.
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2023-05-11 07:39:34,080 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 07:40:04,969 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-11 07:42:47,689 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.2 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 07:48:13,621 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.2 INFO Training succeeded!
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2023-05-11 07:48:13,622 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.2 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
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2023-05-11 07:49:19,291 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.2 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.831 mean absolute error, 1.577 mean squared error, 0.455 recall of 1.0, 0.5833333333333334 precision of 1.0, 0.32 recall of 2.0, 0.40764331210191085 precision of 2.0, 0.44 recall of 3.0, 0.3548387096774194 precision of 3.0, 0.44 recall of 4.0, 0.34108527131782945 precision of 4.0, 0.45 recall of 5.0, 0.4972375690607735 precision of 5.0, 421 perfect matches.
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2023-05-11 07:49:19,421 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 07:49:19,421 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.831 mean absolute error, 1.577 mean squared error, 0.455 recall of 1.0, 0.5833333333333334 precision of 1.0, 0.32 recall of 2.0, 0.40764331210191085 precision of 2.0, 0.44 recall of 3.0, 0.3548387096774194 precision of 3.0, 0.44 recall of 4.0, 0.34108527131782945 precision of 4.0, 0.45 recall of 5.0, 0.4972375690607735 precision of 5.0, 421 perfect matches.
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2023-05-11 07:51:55,999 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 07:53:15,870 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1 ERROR Training failed, trying again with a different dataset...
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2023-05-11 07:55:56,708 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 07:57:52,331 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2 ERROR Training failed, trying again with a different dataset...
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2023-05-11 08:00:34,487 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.3 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 08:06:17,823 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.3 INFO Training succeeded!
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2023-05-11 08:06:17,823 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.3 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
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2023-05-11 08:07:26,415 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.3 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.845 mean absolute error, 1.547 mean squared error, 0.58 recall of 1.0, 0.4773662551440329 precision of 1.0, 0.26 recall of 2.0, 0.42276422764227645 precision of 2.0, 0.395 recall of 3.0, 0.3278008298755187 precision of 3.0, 0.43 recall of 4.0, 0.36134453781512604 precision of 4.0, 0.445 recall of 5.0, 0.5741935483870968 precision of 5.0, 422 perfect matches.
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2023-05-11 08:07:26,550 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 08:07:26,550 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.845 mean absolute error, 1.547 mean squared error, 0.58 recall of 1.0, 0.4773662551440329 precision of 1.0, 0.26 recall of 2.0, 0.42276422764227645 precision of 2.0, 0.395 recall of 3.0, 0.3278008298755187 precision of 3.0, 0.43 recall of 4.0, 0.36134453781512604 precision of 4.0, 0.445 recall of 5.0, 0.5741935483870968 precision of 5.0, 422 perfect matches.
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2023-05-11 08:10:07,075 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 08:15:43,714 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Training succeeded!
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2023-05-11 08:15:43,714 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
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2023-05-11 08:16:49,888 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.817 mean absolute error, 1.385 mean squared error, 0.48 recall of 1.0, 0.5303867403314917 precision of 1.0, 0.46 recall of 2.0, 0.33454545454545453 precision of 2.0, 0.29 recall of 3.0, 0.30851063829787234 precision of 3.0, 0.34 recall of 4.0, 0.35051546391752575 precision of 4.0, 0.46 recall of 5.0, 0.5679012345679012 precision of 5.0, 406 perfect matches.
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2023-05-11 08:16:50,041 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 08:16:50,041 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.817 mean absolute error, 1.385 mean squared error, 0.48 recall of 1.0, 0.5303867403314917 precision of 1.0, 0.46 recall of 2.0, 0.33454545454545453 precision of 2.0, 0.29 recall of 3.0, 0.30851063829787234 precision of 3.0, 0.34 recall of 4.0, 0.35051546391752575 precision of 4.0, 0.46 recall of 5.0, 0.5679012345679012 precision of 5.0, 406 perfect matches.
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2023-05-11 08:19:29,735 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 08:25:13,174 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Training succeeded!
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2023-05-11 08:25:13,202 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
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2023-05-11 08:26:19,536 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.822 mean absolute error, 1.42 mean squared error, 0.62 recall of 1.0, 0.5511111111111111 precision of 1.0, 0.37 recall of 2.0, 0.296 precision of 2.0, 0.24 recall of 3.0, 0.4067796610169492 precision of 3.0, 0.305 recall of 4.0, 0.28773584905660377 precision of 4.0, 0.525 recall of 5.0, 0.5384615384615384 precision of 5.0, 412 perfect matches.
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2023-05-11 08:26:19,814 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation INFO Reached target of 1 runs, moving on...
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2023-05-11 08:26:19,814 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.822 mean absolute error, 1.42 mean squared error, 0.62 recall of 1.0, 0.5511111111111111 precision of 1.0, 0.37 recall of 2.0, 0.296 precision of 2.0, 0.24 recall of 3.0, 0.4067796610169492 precision of 3.0, 0.305 recall of 4.0, 0.28773584905660377 precision of 4.0, 0.525 recall of 5.0, 0.5384615384615384 precision of 5.0, 412 perfect matches.
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||
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2023-05-11 08:29:01,606 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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||
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2023-05-11 08:34:54,291 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Training succeeded!
|
||
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2023-05-11 08:34:54,292 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
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2023-05-11 08:36:00,670 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1 INFO Evaluation results: Evaluation results: 1000 evaluated, 0.835 mean absolute error, 1.581 mean squared error, 0.49 recall of 1.0, 0.593939393939394 precision of 1.0, 0.315 recall of 2.0, 0.375 precision of 2.0, 0.31 recall of 3.0, 0.34831460674157305 precision of 3.0, 0.435 recall of 4.0, 0.3283018867924528 precision of 4.0, 0.62 recall of 5.0, 0.5535714285714286 precision of 5.0, 434 perfect matches.
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2023-05-11 08:36:00,947 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer INFO Reached target of 1 runs, moving on...
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2023-05-11 08:36:00,947 __main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer INFO Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.835 mean absolute error, 1.581 mean squared error, 0.49 recall of 1.0, 0.593939393939394 precision of 1.0, 0.315 recall of 2.0, 0.375 precision of 2.0, 0.31 recall of 3.0, 0.34831460674157305 precision of 3.0, 0.435 recall of 4.0, 0.3283018867924528 precision of 4.0, 0.62 recall of 5.0, 0.5535714285714286 precision of 5.0, 434 perfect matches.
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