bda-6-steffo/data/logs/run-success4.tsv

1	2023-05-10 02:43:35,852	__main__	INFO	Started unimore-bda-6 in PRODUCTION mode!
2	2023-05-10 02:44:58,691	__main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
3	2023-05-10 02:44:58,692	__main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1	INFO	Training succeeded!
4	2023-05-10 02:44:58,692	__main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
5	2023-05-10 02:44:58,756	__main__.sample_reviews_polar.ThreeCheat.PlainTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
6	2023-05-10 02:44:58,887	__main__.sample_reviews_polar.ThreeCheat.PlainTokenizer	INFO	Reached target of 1 runs, moving on...
7	2023-05-10 02:44:58,887	__main__.sample_reviews_polar.ThreeCheat.PlainTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
8	2023-05-10 02:46:09,238	__main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
9	2023-05-10 02:46:09,238	__main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1	INFO	Training succeeded!
10	2023-05-10 02:46:09,238	__main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
11	2023-05-10 02:46:09,301	__main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
12	2023-05-10 02:46:09,429	__main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer	INFO	Reached target of 1 runs, moving on...
13	2023-05-10 02:46:09,429	__main__.sample_reviews_polar.ThreeCheat.LowercaseTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
14	2023-05-10 02:47:14,564	__main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
15	2023-05-10 02:47:14,564	__main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1	INFO	Training succeeded!
16	2023-05-10 02:47:14,564	__main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
17	2023-05-10 02:47:14,629	__main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
18	2023-05-10 02:47:14,759	__main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer	INFO	Reached target of 1 runs, moving on...
19	2023-05-10 02:47:14,760	__main__.sample_reviews_polar.ThreeCheat.NLTKWordTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
20	2023-05-10 02:48:22,805	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
21	2023-05-10 02:48:22,806	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1	INFO	Training succeeded!
22	2023-05-10 02:48:22,806	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
23	2023-05-10 02:48:22,872	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
24	2023-05-10 02:48:23,016	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizer	INFO	Reached target of 1 runs, moving on...
25	2023-05-10 02:48:23,016	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
26	2023-05-10 02:49:31,383	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1	INFO	Training sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
27	2023-05-10 02:49:31,383	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1	INFO	Training succeeded!
28	2023-05-10 02:49:31,383	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
29	2023-05-10 02:49:31,445	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
30	2023-05-10 02:49:31,574	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation	INFO	Reached target of 1 runs, moving on...
31	2023-05-10 02:49:31,574	__main__.sample_reviews_polar.ThreeCheat.PottsTokenizerWithNegation	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
32	2023-05-10 02:50:40,086	__main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
33	2023-05-10 02:50:40,086	__main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1	INFO	Training succeeded!
34	2023-05-10 02:50:40,087	__main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
35	2023-05-10 02:50:40,150	__main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 3.0, 0.0 precision of 3.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
36	2023-05-10 02:50:40,277	__main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer	INFO	Reached target of 1 runs, moving on...
37	2023-05-10 02:50:40,277	__main__.sample_reviews_polar.ThreeCheat.HuggingBertTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 2.0 mean absolute error, 4.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, 0.0 precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 0 perfect matches.
38	2023-05-10 02:51:48,760	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
39	2023-05-10 02:54:07,227	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1	INFO	Training succeeded!
40	2023-05-10 02:54:07,227	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
41	2023-05-10 02:55:08,694	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.932 mean absolute error, 3.728 mean squared error, 0.676 recall of 1.0, 0.8264058679706602 precision of 1.0, 0.858 recall of 5.0, 0.7258883248730964 precision of 5.0, 767 perfect matches.
42	2023-05-10 02:55:08,845	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer	INFO	Reached target of 1 runs, moving on...
43	2023-05-10 02:55:08,846	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PlainTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.932 mean absolute error, 3.728 mean squared error, 0.676 recall of 1.0, 0.8264058679706602 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.858 recall of 5.0, 0.7258883248730964 precision of 5.0, 767 perfect matches.
44	2023-05-10 02:56:17,610	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
45	2023-05-10 02:58:39,299	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1	INFO	Training succeeded!
46	2023-05-10 02:58:39,299	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
47	2023-05-10 02:59:40,009	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.06 mean absolute error, 4.24 mean squared error, 0.61 recall of 1.0, 0.8133333333333334 precision of 1.0, 0.86 recall of 5.0, 0.688 precision of 5.0, 735 perfect matches.
48	2023-05-10 02:59:40,137	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer	INFO	Reached target of 1 runs, moving on...
49	2023-05-10 02:59:40,137	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.LowercaseTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.06 mean absolute error, 4.24 mean squared error, 0.61 recall of 1.0, 0.8133333333333334 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.86 recall of 5.0, 0.688 precision of 5.0, 735 perfect matches.
50	2023-05-10 03:00:46,448	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
51	2023-05-10 03:03:42,339	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training succeeded!
52	2023-05-10 03:03:42,339	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
53	2023-05-10 03:04:52,676	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.108 mean absolute error, 4.432 mean squared error, 0.608 recall of 1.0, 0.7896103896103897 precision of 1.0, 0.838 recall of 5.0, 0.6813008130081301 precision of 5.0, 723 perfect matches.
54	2023-05-10 03:04:52,801	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer	INFO	Reached target of 1 runs, moving on...
55	2023-05-10 03:04:52,801	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.NLTKWordTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.108 mean absolute error, 4.432 mean squared error, 0.608 recall of 1.0, 0.7896103896103897 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.838 recall of 5.0, 0.6813008130081301 precision of 5.0, 723 perfect matches.
56	2023-05-10 03:05:58,634	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
57	2023-05-10 03:08:13,605	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1	INFO	Training succeeded!
58	2023-05-10 03:08:13,605	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
59	2023-05-10 03:09:11,730	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.076 mean absolute error, 4.304 mean squared error, 0.62 recall of 1.0, 0.7969151670951157 precision of 1.0, 0.842 recall of 5.0, 0.6890343698854338 precision of 5.0, 731 perfect matches.
60	2023-05-10 03:09:11,866	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer	INFO	Reached target of 1 runs, moving on...
61	2023-05-10 03:09:11,867	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.076 mean absolute error, 4.304 mean squared error, 0.62 recall of 1.0, 0.7969151670951157 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.842 recall of 5.0, 0.6890343698854338 precision of 5.0, 731 perfect matches.
62	2023-05-10 03:10:22,481	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
63	2023-05-10 03:13:07,679	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training succeeded!
64	2023-05-10 03:13:07,680	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
65	2023-05-10 03:14:19,041	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.196 mean absolute error, 4.784 mean squared error, 0.582 recall of 1.0, 0.7637795275590551 precision of 1.0, 0.82 recall of 5.0, 0.6623586429725363 precision of 5.0, 701 perfect matches.
66	2023-05-10 03:14:19,229	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation	INFO	Reached target of 1 runs, moving on...
67	2023-05-10 03:14:19,230	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.PottsTokenizerWithNegation	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.196 mean absolute error, 4.784 mean squared error, 0.582 recall of 1.0, 0.7637795275590551 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.82 recall of 5.0, 0.6623586429725363 precision of 5.0, 701 perfect matches.
68	2023-05-10 03:15:46,197	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
69	2023-05-10 03:18:56,976	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training succeeded!
70	2023-05-10 03:18:56,977	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
71	2023-05-10 03:20:17,188	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.056 mean absolute error, 4.224 mean squared error, 0.598 recall of 1.0, 0.8259668508287292 precision of 1.0, 0.874 recall of 5.0, 0.6849529780564263 precision of 5.0, 736 perfect matches.
72	2023-05-10 03:20:17,319	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer	INFO	Reached target of 1 runs, moving on...
73	2023-05-10 03:20:17,319	__main__.sample_reviews_polar.NLTKSentimentAnalyzer.HuggingBertTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.056 mean absolute error, 4.224 mean squared error, 0.598 recall of 1.0, 0.8259668508287292 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.874 recall of 5.0, 0.6849529780564263 precision of 5.0, 736 perfect matches.
74	2023-05-10 03:21:25,068	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
75	2023-05-10 03:22:31,887	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1	ERROR	Training failed, trying again with a different dataset...
76	2023-05-10 03:23:40,059	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
77	2023-05-10 03:29:02,549	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2	INFO	Training succeeded!
78	2023-05-10 03:29:02,549	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
79	2023-05-10 03:30:09,274	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer.2	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.568 mean absolute error, 2.272 mean squared error, 0.87 recall of 1.0, 0.849609375 precision of 1.0, 0.846 recall of 5.0, 0.8668032786885246 precision of 5.0, 858 perfect matches.
80	2023-05-10 03:30:09,403	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer	INFO	Reached target of 1 runs, moving on...
81	2023-05-10 03:30:09,403	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PlainTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.568 mean absolute error, 2.272 mean squared error, 0.87 recall of 1.0, 0.849609375 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.846 recall of 5.0, 0.8668032786885246 precision of 5.0, 858 perfect matches.
82	2023-05-10 03:31:19,299	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
83	2023-05-10 03:36:52,094	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1	INFO	Training succeeded!
84	2023-05-10 03:36:52,095	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
85	2023-05-10 03:37:57,538	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.488 mean absolute error, 1.952 mean squared error, 0.844 recall of 1.0, 0.9055793991416309 precision of 1.0, 0.912 recall of 5.0, 0.8539325842696629 precision of 5.0, 878 perfect matches.
86	2023-05-10 03:37:57,664	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer	INFO	Reached target of 1 runs, moving on...
87	2023-05-10 03:37:57,664	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.488 mean absolute error, 1.952 mean squared error, 0.844 recall of 1.0, 0.9055793991416309 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.912 recall of 5.0, 0.8539325842696629 precision of 5.0, 878 perfect matches.
88	2023-05-10 03:39:05,712	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
89	2023-05-10 03:45:01,541	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training succeeded!
90	2023-05-10 03:45:01,542	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
91	2023-05-10 03:46:09,282	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.46 mean absolute error, 1.84 mean squared error, 0.872 recall of 1.0, 0.8952772073921971 precision of 1.0, 0.898 recall of 5.0, 0.8752436647173489 precision of 5.0, 885 perfect matches.
92	2023-05-10 03:46:09,528	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer	INFO	Reached target of 1 runs, moving on...
93	2023-05-10 03:46:09,529	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.46 mean absolute error, 1.84 mean squared error, 0.872 recall of 1.0, 0.8952772073921971 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.898 recall of 5.0, 0.8752436647173489 precision of 5.0, 885 perfect matches.
94	2023-05-10 03:47:19,709	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
95	2023-05-10 03:48:34,195	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1	ERROR	Training failed, trying again with a different dataset...
96	2023-05-10 03:49:49,069	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
97	2023-05-10 03:55:26,273	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2	INFO	Training succeeded!
98	2023-05-10 03:55:26,283	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
99	2023-05-10 03:56:32,420	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.496 mean absolute error, 1.984 mean squared error, 0.858 recall of 1.0, 0.8900414937759336 precision of 1.0, 0.894 recall of 5.0, 0.862934362934363 precision of 5.0, 876 perfect matches.
100	2023-05-10 03:56:32,652	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer	INFO	Reached target of 1 runs, moving on...
101	2023-05-10 03:56:32,653	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.496 mean absolute error, 1.984 mean squared error, 0.858 recall of 1.0, 0.8900414937759336 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.894 recall of 5.0, 0.862934362934363 precision of 5.0, 876 perfect matches.
102	2023-05-10 03:57:44,651	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
103	2023-05-10 04:03:25,274	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training succeeded!
104	2023-05-10 04:03:25,274	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
105	2023-05-10 04:04:31,838	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.512 mean absolute error, 2.048 mean squared error, 0.856 recall of 1.0, 0.8842975206611571 precision of 1.0, 0.888 recall of 5.0, 0.8604651162790697 precision of 5.0, 872 perfect matches.
106	2023-05-10 04:04:32,023	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation	INFO	Reached target of 1 runs, moving on...
107	2023-05-10 04:04:32,024	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.512 mean absolute error, 2.048 mean squared error, 0.856 recall of 1.0, 0.8842975206611571 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.888 recall of 5.0, 0.8604651162790697 precision of 5.0, 872 perfect matches.
108	2023-05-10 04:05:39,080	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
109	2023-05-10 04:11:19,086	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training succeeded!
110	2023-05-10 04:11:19,086	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
111	2023-05-10 04:12:25,320	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.488 mean absolute error, 1.952 mean squared error, 0.9 recall of 1.0, 0.8620689655172413 precision of 1.0, 0.856 recall of 5.0, 0.895397489539749 precision of 5.0, 878 perfect matches.
112	2023-05-10 04:12:25,446	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer	INFO	Reached target of 1 runs, moving on...
113	2023-05-10 04:12:25,446	__main__.sample_reviews_polar.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.488 mean absolute error, 1.952 mean squared error, 0.9 recall of 1.0, 0.8620689655172413 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.856 recall of 5.0, 0.895397489539749 precision of 5.0, 878 perfect matches.
114	2023-05-10 04:13:33,200	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
115	2023-05-10 04:19:15,778	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1	INFO	Training succeeded!
116	2023-05-10 04:19:15,778	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
117	2023-05-10 04:20:21,539	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.492 mean absolute error, 1.968 mean squared error, 0.89 recall of 1.0, 0.8674463937621832 precision of 1.0, 0.864 recall of 5.0, 0.8870636550308009 precision of 5.0, 877 perfect matches.
118	2023-05-10 04:20:21,676	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer	INFO	Reached target of 1 runs, moving on...
119	2023-05-10 04:20:21,677	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PlainTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.492 mean absolute error, 1.968 mean squared error, 0.89 recall of 1.0, 0.8674463937621832 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.864 recall of 5.0, 0.8870636550308009 precision of 5.0, 877 perfect matches.
120	2023-05-10 04:21:26,908	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
121	2023-05-10 04:27:14,282	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1	INFO	Training succeeded!
122	2023-05-10 04:27:14,283	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
123	2023-05-10 04:28:20,645	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.544 mean absolute error, 2.176 mean squared error, 0.892 recall of 1.0, 0.8446969696969697 precision of 1.0, 0.836 recall of 5.0, 0.885593220338983 precision of 5.0, 864 perfect matches.
124	2023-05-10 04:28:21,047	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer	INFO	Reached target of 1 runs, moving on...
125	2023-05-10 04:28:21,047	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.544 mean absolute error, 2.176 mean squared error, 0.892 recall of 1.0, 0.8446969696969697 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.836 recall of 5.0, 0.885593220338983 precision of 5.0, 864 perfect matches.
126	2023-05-10 04:29:40,053	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
127	2023-05-10 04:31:20,580	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1	ERROR	Training failed, trying again with a different dataset...
128	2023-05-10 04:32:24,903	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
129	2023-05-10 04:38:31,942	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2	INFO	Training succeeded!
130	2023-05-10 04:38:31,943	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
131	2023-05-10 04:39:39,172	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.2	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.496 mean absolute error, 1.984 mean squared error, 0.866 recall of 1.0, 0.8836734693877552 precision of 1.0, 0.886 recall of 5.0, 0.8686274509803922 precision of 5.0, 876 perfect matches.
132	2023-05-10 04:39:39,311	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer	INFO	Reached target of 1 runs, moving on...
133	2023-05-10 04:39:39,312	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.496 mean absolute error, 1.984 mean squared error, 0.866 recall of 1.0, 0.8836734693877552 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.886 recall of 5.0, 0.8686274509803922 precision of 5.0, 876 perfect matches.
134	2023-05-10 04:40:48,231	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
135	2023-05-10 04:46:58,176	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1	INFO	Training succeeded!
136	2023-05-10 04:46:58,176	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
137	2023-05-10 04:48:03,765	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.476 mean absolute error, 1.904 mean squared error, 0.872 recall of 1.0, 0.8879837067209776 precision of 1.0, 0.89 recall of 5.0, 0.8742632612966601 precision of 5.0, 881 perfect matches.
138	2023-05-10 04:48:03,893	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer	INFO	Reached target of 1 runs, moving on...
139	2023-05-10 04:48:03,893	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.476 mean absolute error, 1.904 mean squared error, 0.872 recall of 1.0, 0.8879837067209776 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.89 recall of 5.0, 0.8742632612966601 precision of 5.0, 881 perfect matches.
140	2023-05-10 04:49:11,878	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
141	2023-05-10 04:55:31,159	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training succeeded!
142	2023-05-10 04:55:31,159	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
143	2023-05-10 04:56:36,492	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.444 mean absolute error, 1.776 mean squared error, 0.882 recall of 1.0, 0.8945233265720081 precision of 1.0, 0.896 recall of 5.0, 0.883629191321499 precision of 5.0, 889 perfect matches.
144	2023-05-10 04:56:36,615	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation	INFO	Reached target of 1 runs, moving on...
145	2023-05-10 04:56:36,615	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.444 mean absolute error, 1.776 mean squared error, 0.882 recall of 1.0, 0.8945233265720081 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.896 recall of 5.0, 0.883629191321499 precision of 5.0, 889 perfect matches.
146	2023-05-10 04:57:44,990	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
147	2023-05-10 05:04:10,315	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training succeeded!
148	2023-05-10 05:04:10,315	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
149	2023-05-10 05:05:15,975	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.56 mean absolute error, 2.24 mean squared error, 0.854 recall of 1.0, 0.8643724696356275 precision of 1.0, 0.866 recall of 5.0, 0.8557312252964426 precision of 5.0, 860 perfect matches.
150	2023-05-10 05:05:16,189	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer	INFO	Reached target of 1 runs, moving on...
151	2023-05-10 05:05:16,190	__main__.sample_reviews_polar.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.56 mean absolute error, 2.24 mean squared error, 0.854 recall of 1.0, 0.8643724696356275 precision of 1.0, inf recall of 2.0, inf precision of 2.0, inf recall of 3.0, inf precision of 3.0, inf recall of 4.0, inf precision of 4.0, 0.866 recall of 5.0, 0.8557312252964426 precision of 5.0, 860 perfect matches.
152	2023-05-10 05:08:02,528	__main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
153	2023-05-10 05:08:02,529	__main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1	INFO	Training succeeded!
154	2023-05-10 05:08:02,529	__main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <PlainTokenizer> tokenizer>
155	2023-05-10 05:08:02,594	__main__.sample_reviews_varied.ThreeCheat.PlainTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
156	2023-05-10 05:08:02,742	__main__.sample_reviews_varied.ThreeCheat.PlainTokenizer	INFO	Reached target of 1 runs, moving on...
157	2023-05-10 05:08:02,742	__main__.sample_reviews_varied.ThreeCheat.PlainTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
158	2023-05-10 05:10:46,903	__main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
159	2023-05-10 05:10:46,903	__main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1	INFO	Training succeeded!
160	2023-05-10 05:10:46,903	__main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <LowercaseTokenizer> tokenizer>
161	2023-05-10 05:10:46,972	__main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
162	2023-05-10 05:10:47,103	__main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer	INFO	Reached target of 1 runs, moving on...
163	2023-05-10 05:10:47,103	__main__.sample_reviews_varied.ThreeCheat.LowercaseTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
164	2023-05-10 05:13:28,479	__main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
165	2023-05-10 05:13:28,479	__main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1	INFO	Training succeeded!
166	2023-05-10 05:13:28,479	__main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <NLTKWordTokenizer> tokenizer>
167	2023-05-10 05:13:28,542	__main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
168	2023-05-10 05:13:28,669	__main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer	INFO	Reached target of 1 runs, moving on...
169	2023-05-10 05:13:28,669	__main__.sample_reviews_varied.ThreeCheat.NLTKWordTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
170	2023-05-10 05:16:18,137	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
171	2023-05-10 05:16:18,138	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1	INFO	Training succeeded!
172	2023-05-10 05:16:18,138	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizer> tokenizer>
173	2023-05-10 05:16:18,223	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
174	2023-05-10 05:16:18,353	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizer	INFO	Reached target of 1 runs, moving on...
175	2023-05-10 05:16:18,353	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
176	2023-05-10 05:19:07,108	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1	INFO	Training sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
177	2023-05-10 05:19:07,108	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1	INFO	Training succeeded!
178	2023-05-10 05:19:07,109	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <PottsTokenizerWithNegation> tokenizer>
179	2023-05-10 05:19:07,173	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
180	2023-05-10 05:19:07,317	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation	INFO	Reached target of 1 runs, moving on...
181	2023-05-10 05:19:07,317	__main__.sample_reviews_varied.ThreeCheat.PottsTokenizerWithNegation	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
182	2023-05-10 05:21:47,202	__main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1	INFO	Training sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
183	2023-05-10 05:21:47,203	__main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1	INFO	Training succeeded!
184	2023-05-10 05:21:47,203	__main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1	INFO	Evaluating sentiment analyzer: <ThreeCheat with <HuggingBertTokenizer> tokenizer>
185	2023-05-10 05:21:47,265	__main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
186	2023-05-10 05:21:47,393	__main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer	INFO	Reached target of 1 runs, moving on...
187	2023-05-10 05:21:47,393	__main__.sample_reviews_varied.ThreeCheat.HuggingBertTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.2 mean absolute error, 2.0 mean squared error, 0.0 recall of 1.0, inf precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 1.0 recall of 3.0, 0.2 precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.0 recall of 5.0, inf precision of 5.0, 200 perfect matches.
188	2023-05-10 05:24:33,310	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
189	2023-05-10 05:27:32,731	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1	INFO	Training succeeded!
190	2023-05-10 05:27:32,731	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PlainTokenizer> tokenizer>
191	2023-05-10 05:30:02,836	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.228 mean absolute error, 3.07 mean squared error, 0.385 recall of 1.0, 0.5620437956204379 precision of 1.0, 0.27 recall of 2.0, 0.4186046511627907 precision of 2.0, 0.25 recall of 3.0, 0.3067484662576687 precision of 3.0, 0.155 recall of 4.0, 0.4025974025974026 precision of 4.0, 0.76 recall of 5.0, 0.3076923076923077 precision of 5.0, 364 perfect matches.
192	2023-05-10 05:30:02,961	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer	INFO	Reached target of 1 runs, moving on...
193	2023-05-10 05:30:02,962	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PlainTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.228 mean absolute error, 3.07 mean squared error, 0.385 recall of 1.0, 0.5620437956204379 precision of 1.0, 0.27 recall of 2.0, 0.4186046511627907 precision of 2.0, 0.25 recall of 3.0, 0.3067484662576687 precision of 3.0, 0.155 recall of 4.0, 0.4025974025974026 precision of 4.0, 0.76 recall of 5.0, 0.3076923076923077 precision of 5.0, 364 perfect matches.
194	2023-05-10 05:32:46,093	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
195	2023-05-10 05:35:49,963	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1	INFO	Training succeeded!
196	2023-05-10 05:35:49,963	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
197	2023-05-10 05:38:20,816	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.322 mean absolute error, 3.384 mean squared error, 0.3 recall of 1.0, 0.46875 precision of 1.0, 0.205 recall of 2.0, 0.31297709923664124 precision of 2.0, 0.245 recall of 3.0, 0.3475177304964539 precision of 3.0, 0.1 recall of 4.0, 0.2898550724637681 precision of 4.0, 0.76 recall of 5.0, 0.2862523540489642 precision of 5.0, 322 perfect matches.
198	2023-05-10 05:38:20,941	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer	INFO	Reached target of 1 runs, moving on...
199	2023-05-10 05:38:20,941	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.LowercaseTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.322 mean absolute error, 3.384 mean squared error, 0.3 recall of 1.0, 0.46875 precision of 1.0, 0.205 recall of 2.0, 0.31297709923664124 precision of 2.0, 0.245 recall of 3.0, 0.3475177304964539 precision of 3.0, 0.1 recall of 4.0, 0.2898550724637681 precision of 4.0, 0.76 recall of 5.0, 0.2862523540489642 precision of 5.0, 322 perfect matches.
200	2023-05-10 05:41:28,214	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
201	2023-05-10 05:45:18,280	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training succeeded!
202	2023-05-10 05:45:18,280	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
203	2023-05-10 05:48:07,889	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.223 mean absolute error, 2.863 mean squared error, 0.485 recall of 1.0, 0.4041666666666667 precision of 1.0, 0.185 recall of 2.0, 0.29838709677419356 precision of 2.0, 0.15 recall of 3.0, 0.21428571428571427 precision of 3.0, 0.14 recall of 4.0, 0.345679012345679 precision of 4.0, 0.685 recall of 5.0, 0.3301204819277108 precision of 5.0, 329 perfect matches.
204	2023-05-10 05:48:08,021	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer	INFO	Reached target of 1 runs, moving on...
205	2023-05-10 05:48:08,021	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.NLTKWordTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.223 mean absolute error, 2.863 mean squared error, 0.485 recall of 1.0, 0.4041666666666667 precision of 1.0, 0.185 recall of 2.0, 0.29838709677419356 precision of 2.0, 0.15 recall of 3.0, 0.21428571428571427 precision of 3.0, 0.14 recall of 4.0, 0.345679012345679 precision of 4.0, 0.685 recall of 5.0, 0.3301204819277108 precision of 5.0, 329 perfect matches.
206	2023-05-10 05:50:57,649	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
207	2023-05-10 05:53:55,869	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1	INFO	Training succeeded!
208	2023-05-10 05:53:55,869	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizer> tokenizer>
209	2023-05-10 05:56:18,730	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.3 mean absolute error, 3.272 mean squared error, 0.39 recall of 1.0, 0.46987951807228917 precision of 1.0, 0.25 recall of 2.0, 0.31446540880503143 precision of 2.0, 0.22 recall of 3.0, 0.3333333333333333 precision of 3.0, 0.065 recall of 4.0, 0.2653061224489796 precision of 4.0, 0.715 recall of 5.0, 0.2894736842105263 precision of 5.0, 328 perfect matches.
210	2023-05-10 05:56:18,859	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer	INFO	Reached target of 1 runs, moving on...
211	2023-05-10 05:56:18,859	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.3 mean absolute error, 3.272 mean squared error, 0.39 recall of 1.0, 0.46987951807228917 precision of 1.0, 0.25 recall of 2.0, 0.31446540880503143 precision of 2.0, 0.22 recall of 3.0, 0.3333333333333333 precision of 3.0, 0.065 recall of 4.0, 0.2653061224489796 precision of 4.0, 0.715 recall of 5.0, 0.2894736842105263 precision of 5.0, 328 perfect matches.
212	2023-05-10 05:59:09,123	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
213	2023-05-10 06:02:46,351	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training succeeded!
214	2023-05-10 06:02:46,351	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
215	2023-05-10 06:05:35,637	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.262 mean absolute error, 3.148 mean squared error, 0.35 recall of 1.0, 0.48951048951048953 precision of 1.0, 0.28 recall of 2.0, 0.3076923076923077 precision of 2.0, 0.12 recall of 3.0, 0.34782608695652173 precision of 3.0, 0.14 recall of 4.0, 0.3181818181818182 precision of 4.0, 0.8 recall of 5.0, 0.3088803088803089 precision of 5.0, 338 perfect matches.
216	2023-05-10 06:05:35,890	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation	INFO	Reached target of 1 runs, moving on...
217	2023-05-10 06:05:35,890	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.PottsTokenizerWithNegation	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.262 mean absolute error, 3.148 mean squared error, 0.35 recall of 1.0, 0.48951048951048953 precision of 1.0, 0.28 recall of 2.0, 0.3076923076923077 precision of 2.0, 0.12 recall of 3.0, 0.34782608695652173 precision of 3.0, 0.14 recall of 4.0, 0.3181818181818182 precision of 4.0, 0.8 recall of 5.0, 0.3088803088803089 precision of 5.0, 338 perfect matches.
218	2023-05-10 06:08:27,660	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
219	2023-05-10 06:12:37,328	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training succeeded!
220	2023-05-10 06:12:37,328	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluating sentiment analyzer: <NLTKSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
221	2023-05-10 06:15:45,376	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.37 mean absolute error, 3.576 mean squared error, 0.265 recall of 1.0, 0.4774774774774775 precision of 1.0, 0.305 recall of 2.0, 0.291866028708134 precision of 2.0, 0.185 recall of 3.0, 0.3394495412844037 precision of 3.0, 0.105 recall of 4.0, 0.38181818181818183 precision of 4.0, 0.725 recall of 5.0, 0.2810077519379845 precision of 5.0, 317 perfect matches.
222	2023-05-10 06:15:45,507	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer	INFO	Reached target of 1 runs, moving on...
223	2023-05-10 06:15:45,507	__main__.sample_reviews_varied.NLTKSentimentAnalyzer.HuggingBertTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.37 mean absolute error, 3.576 mean squared error, 0.265 recall of 1.0, 0.4774774774774775 precision of 1.0, 0.305 recall of 2.0, 0.291866028708134 precision of 2.0, 0.185 recall of 3.0, 0.3394495412844037 precision of 3.0, 0.105 recall of 4.0, 0.38181818181818183 precision of 4.0, 0.725 recall of 5.0, 0.2810077519379845 precision of 5.0, 317 perfect matches.
224	2023-05-10 06:18:38,050	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
225	2023-05-10 06:24:28,753	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1	INFO	Training succeeded!
226	2023-05-10 06:24:28,754	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PlainTokenizer> tokenizer>
227	2023-05-10 06:25:37,417	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.268 mean absolute error, 3.072 mean squared error, 0.835 recall of 1.0, 0.3280943025540275 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.81 recall of 5.0, 0.329938900203666 precision of 5.0, 329 perfect matches.
228	2023-05-10 06:25:37,551	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer	INFO	Reached target of 1 runs, moving on...
229	2023-05-10 06:25:37,551	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PlainTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.268 mean absolute error, 3.072 mean squared error, 0.835 recall of 1.0, 0.3280943025540275 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.81 recall of 5.0, 0.329938900203666 precision of 5.0, 329 perfect matches.
230	2023-05-10 06:28:21,653	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
231	2023-05-10 06:29:46,700	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.1	ERROR	Training failed, trying again with a different dataset...
232	2023-05-10 06:32:38,509	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
233	2023-05-10 06:38:30,106	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2	INFO	Training succeeded!
234	2023-05-10 06:38:30,106	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <LowercaseTokenizer> tokenizer>
235	2023-05-10 06:39:35,821	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer.2	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.268 mean absolute error, 3.072 mean squared error, 0.95 recall of 1.0, 0.2954898911353033 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.73 recall of 5.0, 0.40896358543417366 precision of 5.0, 336 perfect matches.
236	2023-05-10 06:39:36,499	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer	INFO	Reached target of 1 runs, moving on...
237	2023-05-10 06:39:36,500	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.LowercaseTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.268 mean absolute error, 3.072 mean squared error, 0.95 recall of 1.0, 0.2954898911353033 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.73 recall of 5.0, 0.40896358543417366 precision of 5.0, 336 perfect matches.
238	2023-05-10 06:42:29,066	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
239	2023-05-10 06:44:07,426	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.1	ERROR	Training failed, trying again with a different dataset...
240	2023-05-10 06:46:52,248	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
241	2023-05-10 06:49:06,453	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.2	ERROR	Training failed, trying again with a different dataset...
242	2023-05-10 06:51:46,951	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
243	2023-05-10 06:57:59,348	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3	INFO	Training succeeded!
244	2023-05-10 06:57:59,349	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
245	2023-05-10 06:59:06,402	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer.3	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.262 mean absolute error, 3.048 mean squared error, 0.835 recall of 1.0, 0.35084033613445376 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.835 recall of 5.0, 0.3187022900763359 precision of 5.0, 334 perfect matches.
246	2023-05-10 06:59:06,643	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer	INFO	Reached target of 1 runs, moving on...
247	2023-05-10 06:59:06,643	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.NLTKWordTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.262 mean absolute error, 3.048 mean squared error, 0.835 recall of 1.0, 0.35084033613445376 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.835 recall of 5.0, 0.3187022900763359 precision of 5.0, 334 perfect matches.
248	2023-05-10 07:01:52,956	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
249	2023-05-10 07:03:13,863	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.1	ERROR	Training failed, trying again with a different dataset...
250	2023-05-10 07:06:04,939	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
251	2023-05-10 07:12:15,494	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2	INFO	Training succeeded!
252	2023-05-10 07:12:15,494	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizer> tokenizer>
253	2023-05-10 07:13:21,378	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer.2	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.198 mean absolute error, 2.792 mean squared error, 0.875 recall of 1.0, 0.32710280373831774 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.86 recall of 5.0, 0.36989247311827955 precision of 5.0, 347 perfect matches.
254	2023-05-10 07:13:21,534	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer	INFO	Reached target of 1 runs, moving on...
255	2023-05-10 07:13:21,534	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.198 mean absolute error, 2.792 mean squared error, 0.875 recall of 1.0, 0.32710280373831774 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.86 recall of 5.0, 0.36989247311827955 precision of 5.0, 347 perfect matches.
256	2023-05-10 07:16:12,097	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
257	2023-05-10 07:22:13,792	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training succeeded!
258	2023-05-10 07:22:13,824	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
259	2023-05-10 07:23:21,430	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.26 mean absolute error, 3.04 mean squared error, 0.78 recall of 1.0, 0.37681159420289856 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.905 recall of 5.0, 0.30887372013651876 precision of 5.0, 337 perfect matches.
260	2023-05-10 07:23:22,038	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation	INFO	Reached target of 1 runs, moving on...
261	2023-05-10 07:23:22,039	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.PottsTokenizerWithNegation	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.26 mean absolute error, 3.04 mean squared error, 0.78 recall of 1.0, 0.37681159420289856 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.905 recall of 5.0, 0.30887372013651876 precision of 5.0, 337 perfect matches.
262	2023-05-10 07:26:44,423	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
263	2023-05-10 07:33:19,940	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training succeeded!
264	2023-05-10 07:33:19,940	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowPolarSentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
265	2023-05-10 07:34:25,839	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 1.166 mean absolute error, 2.664 mean squared error, 0.885 recall of 1.0, 0.33270676691729323 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.88 recall of 5.0, 0.37606837606837606 precision of 5.0, 353 perfect matches.
266	2023-05-10 07:34:26,008	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer	INFO	Reached target of 1 runs, moving on...
267	2023-05-10 07:34:26,008	__main__.sample_reviews_varied.TensorflowPolarSentimentAnalyzer.HuggingBertTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 1.166 mean absolute error, 2.664 mean squared error, 0.885 recall of 1.0, 0.33270676691729323 precision of 1.0, 0.0 recall of 2.0, inf precision of 2.0, 0.0 recall of 3.0, inf precision of 3.0, 0.0 recall of 4.0, inf precision of 4.0, 0.88 recall of 5.0, 0.37606837606837606 precision of 5.0, 353 perfect matches.
268	2023-05-10 07:37:14,490	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
269	2023-05-10 07:43:43,502	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1	INFO	Training succeeded!
270	2023-05-10 07:43:43,514	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PlainTokenizer> tokenizer>
271	2023-05-10 07:44:50,262	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.898 mean absolute error, 1.814 mean squared error, 0.465 recall of 1.0, 0.5470588235294118 precision of 1.0, 0.285 recall of 2.0, 0.3275862068965517 precision of 2.0, 0.4 recall of 3.0, 0.33755274261603374 precision of 3.0, 0.46 recall of 4.0, 0.36507936507936506 precision of 4.0, 0.45 recall of 5.0, 0.5389221556886228 precision of 5.0, 412 perfect matches.
272	2023-05-10 07:44:50,825	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer	INFO	Reached target of 1 runs, moving on...
273	2023-05-10 07:44:50,825	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PlainTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.898 mean absolute error, 1.814 mean squared error, 0.465 recall of 1.0, 0.5470588235294118 precision of 1.0, 0.285 recall of 2.0, 0.3275862068965517 precision of 2.0, 0.4 recall of 3.0, 0.33755274261603374 precision of 3.0, 0.46 recall of 4.0, 0.36507936507936506 precision of 4.0, 0.45 recall of 5.0, 0.5389221556886228 precision of 5.0, 412 perfect matches.
274	2023-05-10 07:47:44,517	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
275	2023-05-10 07:54:02,202	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1	INFO	Training succeeded!
276	2023-05-10 07:54:02,202	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <LowercaseTokenizer> tokenizer>
277	2023-05-10 07:55:08,378	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.802 mean absolute error, 1.4 mean squared error, 0.49 recall of 1.0, 0.5632183908045977 precision of 1.0, 0.4 recall of 2.0, 0.40404040404040403 precision of 2.0, 0.385 recall of 3.0, 0.3181818181818182 precision of 3.0, 0.425 recall of 4.0, 0.34274193548387094 precision of 4.0, 0.435 recall of 5.0, 0.6304347826086957 precision of 5.0, 427 perfect matches.
278	2023-05-10 07:55:08,555	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer	INFO	Reached target of 1 runs, moving on...
279	2023-05-10 07:55:08,555	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.LowercaseTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.802 mean absolute error, 1.4 mean squared error, 0.49 recall of 1.0, 0.5632183908045977 precision of 1.0, 0.4 recall of 2.0, 0.40404040404040403 precision of 2.0, 0.385 recall of 3.0, 0.3181818181818182 precision of 3.0, 0.425 recall of 4.0, 0.34274193548387094 precision of 4.0, 0.435 recall of 5.0, 0.6304347826086957 precision of 5.0, 427 perfect matches.
280	2023-05-10 08:00:05,468	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
281	2023-05-10 08:06:41,780	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1	INFO	Training succeeded!
282	2023-05-10 08:06:41,802	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <NLTKWordTokenizer> tokenizer>
283	2023-05-10 08:07:52,749	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.818 mean absolute error, 1.5 mean squared error, 0.64 recall of 1.0, 0.5161290322580645 precision of 1.0, 0.335 recall of 2.0, 0.335 precision of 2.0, 0.305 recall of 3.0, 0.3674698795180723 precision of 3.0, 0.35 recall of 4.0, 0.3645833333333333 precision of 4.0, 0.54 recall of 5.0, 0.5567010309278351 precision of 5.0, 434 perfect matches.
284	2023-05-10 08:07:53,300	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer	INFO	Reached target of 1 runs, moving on...
285	2023-05-10 08:07:53,300	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.NLTKWordTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.818 mean absolute error, 1.5 mean squared error, 0.64 recall of 1.0, 0.5161290322580645 precision of 1.0, 0.335 recall of 2.0, 0.335 precision of 2.0, 0.305 recall of 3.0, 0.3674698795180723 precision of 3.0, 0.35 recall of 4.0, 0.3645833333333333 precision of 4.0, 0.54 recall of 5.0, 0.5567010309278351 precision of 5.0, 434 perfect matches.
286	2023-05-10 08:10:37,480	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
287	2023-05-10 08:12:17,017	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.1	ERROR	Training failed, trying again with a different dataset...
288	2023-05-10 08:14:55,878	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
289	2023-05-10 08:21:08,091	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2	INFO	Training succeeded!
290	2023-05-10 08:21:08,119	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizer> tokenizer>
291	2023-05-10 08:22:16,428	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer.2	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.818 mean absolute error, 1.508 mean squared error, 0.535 recall of 1.0, 0.5944444444444444 precision of 1.0, 0.265 recall of 2.0, 0.38405797101449274 precision of 2.0, 0.315 recall of 3.0, 0.3058252427184466 precision of 3.0, 0.375 recall of 4.0, 0.33783783783783783 precision of 4.0, 0.665 recall of 5.0, 0.5236220472440944 precision of 5.0, 431 perfect matches.
292	2023-05-10 08:22:16,691	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer	INFO	Reached target of 1 runs, moving on...
293	2023-05-10 08:22:16,691	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.818 mean absolute error, 1.508 mean squared error, 0.535 recall of 1.0, 0.5944444444444444 precision of 1.0, 0.265 recall of 2.0, 0.38405797101449274 precision of 2.0, 0.315 recall of 3.0, 0.3058252427184466 precision of 3.0, 0.375 recall of 4.0, 0.33783783783783783 precision of 4.0, 0.665 recall of 5.0, 0.5236220472440944 precision of 5.0, 431 perfect matches.
294	2023-05-10 08:26:02,329	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
295	2023-05-10 08:28:06,424	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.1	ERROR	Training failed, trying again with a different dataset...
296	2023-05-10 08:32:22,638	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.2	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
297	2023-05-10 08:33:54,843	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.2	ERROR	Training failed, trying again with a different dataset...
298	2023-05-10 08:37:32,588	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.3	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
299	2023-05-10 08:43:37,800	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.3	INFO	Training succeeded!
300	2023-05-10 08:43:37,800	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.3	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <PottsTokenizerWithNegation> tokenizer>
301	2023-05-10 08:44:51,705	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation.3	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.811 mean absolute error, 1.505 mean squared error, 0.565 recall of 1.0, 0.5330188679245284 precision of 1.0, 0.43 recall of 2.0, 0.4321608040201005 precision of 2.0, 0.38 recall of 3.0, 0.3958333333333333 precision of 3.0, 0.31 recall of 4.0, 0.3229166666666667 precision of 4.0, 0.55 recall of 5.0, 0.5365853658536586 precision of 5.0, 447 perfect matches.
302	2023-05-10 08:44:51,876	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation	INFO	Reached target of 1 runs, moving on...
303	2023-05-10 08:44:51,876	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.PottsTokenizerWithNegation	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.811 mean absolute error, 1.505 mean squared error, 0.565 recall of 1.0, 0.5330188679245284 precision of 1.0, 0.43 recall of 2.0, 0.4321608040201005 precision of 2.0, 0.38 recall of 3.0, 0.3958333333333333 precision of 3.0, 0.31 recall of 4.0, 0.3229166666666667 precision of 4.0, 0.55 recall of 5.0, 0.5365853658536586 precision of 5.0, 447 perfect matches.
304	2023-05-10 08:47:42,022	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
305	2023-05-10 08:53:33,282	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1	INFO	Training succeeded!
306	2023-05-10 08:53:33,282	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluating sentiment analyzer: <TensorflowCategorySentimentAnalyzer with <HuggingBertTokenizer> tokenizer>
307	2023-05-10 08:54:41,498	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer.1	INFO	Evaluation results: Evaluation results: 1000 evaluated, 0.782 mean absolute error, 1.446 mean squared error, 0.495 recall of 1.0, 0.5210526315789473 precision of 1.0, 0.295 recall of 2.0, 0.38562091503267976 precision of 2.0, 0.46 recall of 3.0, 0.3484848484848485 precision of 3.0, 0.475 recall of 4.0, 0.4148471615720524 precision of 4.0, 0.52 recall of 5.0, 0.6341463414634146 precision of 5.0, 449 perfect matches.
308	2023-05-10 08:54:41,783	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer	INFO	Reached target of 1 runs, moving on...
309	2023-05-10 08:54:41,783	__main__.sample_reviews_varied.TensorflowCategorySentimentAnalyzer.HuggingBertTokenizer	INFO	Cumulative evaluation results: Evaluation results: 1000 evaluated, 0.782 mean absolute error, 1.446 mean squared error, 0.495 recall of 1.0, 0.5210526315789473 precision of 1.0, 0.295 recall of 2.0, 0.38562091503267976 precision of 2.0, 0.46 recall of 3.0, 0.3484848484848485 precision of 3.0, 0.475 recall of 4.0, 0.4148471615720524 precision of 4.0, 0.52 recall of 5.0, 0.6341463414634146 precision of 5.0, 449 perfect matches.