Task
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3833 Supervised Classification analcatdata_authorship 582 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 820.3103, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9881, kappa: 0.9747, kb_relative_information_score: 818.3014, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9561, recall: 0.9881, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9762, kappa: 0.9493, kb_relative_information_score: 747.661, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9561, recall: 0.9762, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 819.567, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.1896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9384, kappa: 0.8692, kb_relative_information_score: 718.3795, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9388, predictive_accuracy: 0.9382, prior_entropy: 0.9561, recall: 0.9382, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 831.2706, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9905, kappa: 0.9797, kb_relative_information_score: 825.088, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9561, recall: 0.9905, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9747, kb_relative_information_score: 818.2788, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9561, recall: 0.9881, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.2141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9893, kappa: 0.9771, kb_relative_information_score: 820.8533, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0235, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9833, kappa: 0.9643, kb_relative_information_score: 806.6447, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 0.9561, recall: 0.9834, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 817.8611, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.1993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 825.2683, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9881, kappa: 0.9747, kb_relative_information_score: 813.4128, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9561, recall: 0.9881, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9941, kappa: 0.9874, kb_relative_information_score: 829.2186, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.975, kappa: 0.9466, kb_relative_information_score: 749.3274, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9561, recall: 0.975, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9713, kappa: 0.9388, kb_relative_information_score: 672.7889, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 0.9561, recall: 0.9715, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.173, root_relative_squared_error: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4784, kb_relative_information_score: -0.1259, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.4846, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 825.8286, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9905, kappa: 0.9796, kb_relative_information_score: 812.4663, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9561, recall: 0.9905, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 826.1525, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9679, kappa: 0.9315, kb_relative_information_score: 775.6033, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9561, recall: 0.9679, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 819.3738, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.0712, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9881, kappa: 0.9746, kb_relative_information_score: 818.9566, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 0.9561, recall: 0.9881, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.109, root_relative_squared_error: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9679, kappa: 0.9315, kb_relative_information_score: 775.6033, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9561, recall: 0.9679, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 834.2569, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 827.3807, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 820.0641, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.1914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9798, kappa: 0.9569, kb_relative_information_score: 800.1325, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 0.9561, recall: 0.9798, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9917, kappa: 0.9823, kb_relative_information_score: 825.5139, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9561, recall: 0.9917, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 717.0944, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 819.8781, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4433, f_measure: 0.4784, kb_relative_information_score: 1.2338, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.4846, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9845, kappa: 0.967, kb_relative_information_score: 697.84, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9561, recall: 0.9845, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9572, kappa: 0.9089, kb_relative_information_score: 762.1266, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.9561, recall: 0.9572, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 836.4427, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1006, scimark_benchmark: 1280.301, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9941, kappa: 0.9874, kb_relative_information_score: 829.8854, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1591, scimark_benchmark: 1280.301, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 147.9257, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 1461.2356, usercpu_time_millis: 2812.5, usercpu_time_millis_testing: 1453.125, usercpu_time_millis_training: 1359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 147.9257, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 1461.2356, usercpu_time_millis: 1125, usercpu_time_millis_testing: 546.875, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 828.2016, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.136, scimark_benchmark: 1787.9841, usercpu_time_millis: 8171.875, usercpu_time_millis_training: 8171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 828.2016, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.136, scimark_benchmark: 1408.5504, usercpu_time_millis: 9800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 147.9257, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 1318.4526, usercpu_time_millis: 720, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 836.4427, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1006, scimark_benchmark: 1340.4278, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9512, kappa: 0.8959, kb_relative_information_score: 741.9753, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9561, recall: 0.9512, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4497, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9881, kappa: 0.9747, kb_relative_information_score: 816.7695, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9561, recall: 0.9881, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.1793, scimark_benchmark: 1788.6668, usercpu_time_millis: 390.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9941, kappa: 0.9874, kb_relative_information_score: 829.6128, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.1579, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9941, kappa: 0.9873, kb_relative_information_score: 829.8854, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1591, 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: 0.9949, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.0712, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423, scimark_benchmark: 897.806, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9384, kappa: 0.8692, kb_relative_information_score: 718.3795, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9388, predictive_accuracy: 0.9382, prior_entropy: 0.9561, recall: 0.9382, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5007, scimark_benchmark: 909.9634, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 818.5474, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.135, scimark_benchmark: 1447.2612, usercpu_time_millis: 250, usercpu_time_millis_testing: 234.375, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 827.1551, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1233, scimark_benchmark: 1840.6094, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9917, kappa: 0.9823, kb_relative_information_score: 828.8697, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9561, recall: 0.9917, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1232, scimark_benchmark: 1840.6094, usercpu_time_millis: 375, usercpu_time_millis_testing: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 821.8316, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.122, scimark_benchmark: 1873.1108, usercpu_time_millis: 515.625, usercpu_time_millis_testing: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9975, kb_relative_information_score: 827.1006, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.9561, recall: 0.9988, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1075, scimark_benchmark: 1873.1108, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 827.8806, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1075, scimark_benchmark: 1873.1108, usercpu_time_millis: 515.625, usercpu_time_millis_testing: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9085, kappa: 0.8052, kb_relative_information_score: 672.5101, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9085, predictive_accuracy: 0.9084, prior_entropy: 0.9561, recall: 0.9084, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9511, kappa: 0.8958, kb_relative_information_score: 751.1977, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9561, recall: 0.9512, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 834.2569, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 827.6996, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.1743, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9917, kappa: 0.9823, kb_relative_information_score: 825.5139, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9561, recall: 0.9917, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1883, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9464, kappa: 0.8857, kb_relative_information_score: 711.5902, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9464, predictive_accuracy: 0.9465, prior_entropy: 0.9561, recall: 0.9465, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4641, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9427, kappa: 0.8777, kb_relative_information_score: 713.5558, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9428, predictive_accuracy: 0.9429, prior_entropy: 0.9561, recall: 0.9429, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4604, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9822, kappa: 0.9621, kb_relative_information_score: 807.5168, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 0.9561, recall: 0.9822, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2446, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,

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

OpenML bootcamp

From your own software

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

OpenML APIs