Task
Supervised Classification on iris

Supervised Classification on iris

Task 3832 Supervised Classification iris 905 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9933, kappa: 0.9849, kb_relative_information_score: 145.2384, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9205, recall: 0.9933, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 147.3334, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6273, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0005, root_relative_squared_error: 0.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6475, mean_absolute_error: 0, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6475, mean_absolute_error: 0, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 148.5738, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0306, root_relative_squared_error: 0.0648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6473, mean_absolute_error: 0, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.302, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0015, root_relative_squared_error: 0.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9866, kappa: 0.9697, kb_relative_information_score: 144.9431, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.9205, recall: 0.9867, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6364, mean_absolute_error: 0, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0012,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9866, kappa: 0.9697, kb_relative_information_score: 144.9431, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.9205, recall: 0.9867, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 145.4763, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.0902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: -0.056, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9205, recall: 0.6667, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.5934, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0028, root_relative_squared_error: 0.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9866, kappa: 0.9697, kb_relative_information_score: 144.9431, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.9205, recall: 0.9867, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 148.2177, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0185, root_relative_squared_error: 0.0393,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 146.2954, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0171, root_relative_squared_error: 0.0363,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 32.0333, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9205, recall: 0.6667, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, scimark_benchmark: 1461.2356,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 32.0333, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9205, recall: 0.6667, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, scimark_benchmark: 1554.8651, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 148.1801, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0082, root_relative_squared_error: 0.0173, scimark_benchmark: 1561.1406, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 148.2516, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.032, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, usercpu_time_millis: 0.042, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6364, mean_absolute_error: 0, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0012, scimark_benchmark: 1280.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 147.3263, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0105, root_relative_squared_error: 0.0223, scimark_benchmark: 1243.5711, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1333.739, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 147.9559, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0072, root_relative_squared_error: 0.0153, scimark_benchmark: 1368.8702, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 147.9559, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0072, root_relative_squared_error: 0.0153, scimark_benchmark: 1360.3632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1000.3608, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9866, kappa: 0.9697, kb_relative_information_score: 144.9431, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.9205, recall: 0.9867, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 951.5534, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6475, mean_absolute_error: 0, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9866, kappa: 0.9697, kb_relative_information_score: 144.9431, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.9205, recall: 0.9867, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6364, mean_absolute_error: 0, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0012, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 147.3263, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0105, root_relative_squared_error: 0.0223, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 147.9559, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0072, root_relative_squared_error: 0.0153, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9866, kappa: 0.9697, kb_relative_information_score: 144.9431, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.9205, recall: 0.9867, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6475, mean_absolute_error: 0, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9866, kappa: 0.9697, kb_relative_information_score: 144.9431, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.9205, recall: 0.9867, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 147.3263, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0105, root_relative_squared_error: 0.0223, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 147.3263, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0105, root_relative_squared_error: 0.0223, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714, scimark_benchmark: 1496.1448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.4745, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0016, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 148.7944, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0036, root_relative_squared_error: 0.0077, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 148.7944, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0036, root_relative_squared_error: 0.0077, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.4745, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0016, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.302, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0015, root_relative_squared_error: 0.0031, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.302, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0015, root_relative_squared_error: 0.0031, scimark_benchmark: 1873.1108,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs