Task
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 60368 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k
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60368 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9924, kappa: 0.9346, kb_relative_information_score: 12469.7716, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9926, kappa: 0.9357, kb_relative_information_score: 12435.2097, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.3201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9881, kappa: 0.8995, kb_relative_information_score: 11160.4685, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9886, predictive_accuracy: 0.9879, prior_entropy: 0.3338, recall: 0.9879, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.3915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.993, kappa: 0.9391, kb_relative_information_score: 12636.9822, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.074, root_relative_squared_error: 0.3081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9926, kappa: 0.9359, kb_relative_information_score: 12577.9281, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.3135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9928, kappa: 0.9373, kb_relative_information_score: 12552.1182, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.3338, recall: 0.9928, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9926, kappa: 0.9365, kb_relative_information_score: 12470.8431, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.3147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.9382, kappa: 0.4122, kb_relative_information_score: 1341.1027, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9355, predictive_accuracy: 0.9447, prior_entropy: 0.3338, recall: 0.9447, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9949, kappa: 0.9562, kb_relative_information_score: 13032.9995, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.995, predictive_accuracy: 0.9949, prior_entropy: 0.3338, recall: 0.9949, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9672, kappa: 0.7098, kb_relative_information_score: 7392.9533, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9667, predictive_accuracy: 0.9678, prior_entropy: 0.3338, recall: 0.9678, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.965, kappa: 0.688, kb_relative_information_score: 7293.2455, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9643, predictive_accuracy: 0.966, prior_entropy: 0.3338, recall: 0.966, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5294, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9936, kappa: 0.9444, kb_relative_information_score: 12356.3508, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.307, scimark_benchmark: 1849.8294, usercpu_time_millis: 831.89, usercpu_time_millis_testing: 2.507, usercpu_time_millis_training: 829.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9936, kappa: 0.9444, kb_relative_information_score: 12191.5177, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.3028, scimark_benchmark: 1855.0232, usercpu_time_millis: 798.933, usercpu_time_millis_testing: 2.921, usercpu_time_millis_training: 796.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9903, kappa: 0.9145, kb_relative_information_score: 10373.8245, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9903, predictive_accuracy: 0.9905, prior_entropy: 0.3338, recall: 0.9905, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3836, scimark_benchmark: 1842.1882, usercpu_time_millis: 780.012, usercpu_time_millis_testing: 4.098, usercpu_time_millis_training: 775.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9904, kappa: 0.9151, kb_relative_information_score: 10333.0769, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3805, scimark_benchmark: 1743.3633, usercpu_time_millis: 774.704, usercpu_time_millis_testing: 2.993, usercpu_time_millis_training: 771.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9935, kappa: 0.9442, kb_relative_information_score: 12308.3009, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.3016, scimark_benchmark: 1840.7014, usercpu_time_millis: 612.5, usercpu_time_millis_testing: 3.011, usercpu_time_millis_training: 609.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9707, kappa: 0.7216, kb_relative_information_score: 1259.9483, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.3338, recall: 0.9737, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.165, root_relative_squared_error: 0.6866, scimark_benchmark: 1846.3057, usercpu_time_millis: 586.018, usercpu_time_millis_testing: 2.763, usercpu_time_millis_training: 583.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9852, kappa: 0.8673, kb_relative_information_score: 7151.6284, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9853, predictive_accuracy: 0.9857, prior_entropy: 0.3338, recall: 0.9857, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4592, scimark_benchmark: 1848.388, usercpu_time_millis: 464.691, usercpu_time_millis_testing: 3.24, usercpu_time_millis_training: 461.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9939, kappa: 0.9475, kb_relative_information_score: 12443.5476, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.3338, recall: 0.9939, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2898, scimark_benchmark: 1846.6923, usercpu_time_millis: 415.911, usercpu_time_millis_testing: 2.846, usercpu_time_millis_training: 413.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9838, kappa: 0.8548, kb_relative_information_score: 4839.6464, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3338, recall: 0.9843, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.5482, scimark_benchmark: 1842.6475, usercpu_time_millis: 416.256, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 415.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9835, kappa: 0.8526, kb_relative_information_score: 7846.2493, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3338, recall: 0.9841, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.4571, scimark_benchmark: 1851.3287, usercpu_time_millis: 220.313, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 219.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9886, kappa: 0.8985, kb_relative_information_score: 7849.7917, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.4296, scimark_benchmark: 1847.8629, usercpu_time_millis: 203.242, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 201.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9629, kappa: 0.6382, kb_relative_information_score: 2037.7252, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 0.3338, recall: 0.9679, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.157, root_relative_squared_error: 0.6532, scimark_benchmark: 1848.8462, usercpu_time_millis: 187.338, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 184.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9872, kappa: 0.8855, kb_relative_information_score: 9384.032, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9873, predictive_accuracy: 0.9876, prior_entropy: 0.3338, recall: 0.9876, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.4208, scimark_benchmark: 1853.9121, usercpu_time_millis: 115.3, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 114.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9895, kappa: 0.9075, kb_relative_information_score: 8383.9192, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9898, prior_entropy: 0.3338, recall: 0.9898, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.4173, scimark_benchmark: 1842.1882, usercpu_time_millis: 73.761, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 73.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9934, kappa: 0.9432, kb_relative_information_score: 12632.8093, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.3338, recall: 0.9934, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2975, scimark_benchmark: 1843.7454, usercpu_time_millis: 64.319, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 63.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9662, kappa: 0.6739, kb_relative_information_score: 1245.3313, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9705, predictive_accuracy: 0.9703, prior_entropy: 0.3338, recall: 0.9703, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.6821, scimark_benchmark: 1853.9121, usercpu_time_millis: 44.534, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 43.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.978, kappa: 0.7961, kb_relative_information_score: 3639.9943, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9793, predictive_accuracy: 0.9796, prior_entropy: 0.3338, recall: 0.9796, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.5753, scimark_benchmark: 1839.7943, usercpu_time_millis: 33.403, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 32.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9087, kb_relative_information_score: -10.1098, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1846.3057, usercpu_time_millis: 12.384, usercpu_time_millis_testing: 2.042, usercpu_time_millis_training: 10.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9087, kb_relative_information_score: -9.8037, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1839.3403, usercpu_time_millis: 6.993, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 6.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9928, kappa: 0.9378, kb_relative_information_score: 12651.867, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.3338, recall: 0.9928, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5287, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9926, kappa: 0.9356, kb_relative_information_score: 12641.8696, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9908, kappa: 0.9202, kb_relative_information_score: 12162.6817, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9908, predictive_accuracy: 0.9909, prior_entropy: 0.3338, recall: 0.9909, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.975, kappa: 0.7722, kb_relative_information_score: 8295.0531, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9751, predictive_accuracy: 0.9763, prior_entropy: 0.3338, recall: 0.9763, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9629, kappa: 0.7163, kb_relative_information_score: 3043.4161, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.972, predictive_accuracy: 0.9588, prior_entropy: 0.3338, recall: 0.9588, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.98, kappa: 0.82, kb_relative_information_score: 9511.4371, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9801, predictive_accuracy: 0.9808, prior_entropy: 0.3338, recall: 0.9808, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9924, kappa: 0.9338, kb_relative_information_score: 12507.0168, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9882, kappa: 0.9, kb_relative_information_score: 11173.9935, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.988, prior_entropy: 0.3338, recall: 0.988, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9883, kappa: 0.9009, kb_relative_information_score: 11181.7418, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.9881, prior_entropy: 0.3338, recall: 0.9881, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5285, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9944, kappa: 0.9518, kb_relative_information_score: 12944.4076, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4357, kb_relative_information_score: 9.1064, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5287, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9888, kappa: 0.9046, kb_relative_information_score: 11233.5083, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.9886, prior_entropy: 0.3338, recall: 0.9886, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9935, kappa: 0.9438, kb_relative_information_score: 12792.5804, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9157, kappa: 0.0869, kb_relative_information_score: 944.6313, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9421, predictive_accuracy: 0.9413, prior_entropy: 0.3338, recall: 0.9413, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9912, kappa: 0.9242, kb_relative_information_score: 9447.0517, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9913, predictive_accuracy: 0.9912, prior_entropy: 0.3338, recall: 0.9912, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9923, kappa: 0.9334, kb_relative_information_score: 12382.1909, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.3338, recall: 0.9923, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.078, root_relative_squared_error: 0.3247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9925, kappa: 0.9348, kb_relative_information_score: 12537.3481, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 5.6144, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9926, kappa: 0.9361, kb_relative_information_score: 12578.3972, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 6.9766, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9661, kappa: 0.6823, kb_relative_information_score: 2482.4029, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9671, predictive_accuracy: 0.9691, prior_entropy: 0.3338, recall: 0.9691, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9616, kappa: 0.6301, kb_relative_information_score: -1729.3453, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9645, predictive_accuracy: 0.9662, prior_entropy: 0.3338, recall: 0.9662, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.6897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 6.9249, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9641, kappa: 0.6877, kb_relative_information_score: 3707.0756, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9639, predictive_accuracy: 0.9644, prior_entropy: 0.3338, recall: 0.9644, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9861, kappa: 0.8764, kb_relative_information_score: 10985.1819, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.986, predictive_accuracy: 0.9864, prior_entropy: 0.3338, recall: 0.9864, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.4291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 7.1147, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5282, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 9.1733, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9933, kappa: 0.9421, kb_relative_information_score: 12378.2569, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9677, kappa: 0.698, kb_relative_information_score: 3573.1736, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9686, predictive_accuracy: 0.9704, prior_entropy: 0.3338, recall: 0.9704, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9948, kappa: 0.9555, kb_relative_information_score: 13041.2068, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.3338, recall: 0.9948, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9941, kappa: 0.9492, kb_relative_information_score: 12994.7047, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.3338, recall: 0.9941, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.2827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.995, kappa: 0.9572, kb_relative_information_score: 13044.1732, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.3338, recall: 0.995, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9934, kappa: 0.9427, kb_relative_information_score: 12506.143, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9928, kappa: 0.9377, kb_relative_information_score: 12492.989, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.3338, recall: 0.9928, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.3116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9946, kappa: 0.9535, kb_relative_information_score: 12840.6924, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 0.3338, recall: 0.9946, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9932, kappa: 0.9412, kb_relative_information_score: 12629.3205, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.3338, recall: 0.9932, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9564, kappa: 0.5734, kb_relative_information_score: -5859.9219, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.961, predictive_accuracy: 0.9627, prior_entropy: 0.3338, recall: 0.9627, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9938, kappa: 0.946, kb_relative_information_score: 12864.0063, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.3338, recall: 0.9937, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.2892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5287, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9858, kappa: 0.8743, kb_relative_information_score: 10927.739, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9858, predictive_accuracy: 0.9862, prior_entropy: 0.3338, recall: 0.9862, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.104, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.992, kappa: 0.9304, kb_relative_information_score: 12321.3681, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 0.3338, recall: 0.9919, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9925, kappa: 0.9351, kb_relative_information_score: 12509.2636, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9355, kappa: 0.3475, kb_relative_information_score: -140.4154, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9384, predictive_accuracy: 0.9478, prior_entropy: 0.3338, recall: 0.9478, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9926, kappa: 0.9356, kb_relative_information_score: 12568.0216, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9903, kappa: 0.9165, kb_relative_information_score: 11814.4956, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.3338, recall: 0.9903, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9661, kappa: 0.6822, kb_relative_information_score: 1826.1968, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.967, predictive_accuracy: 0.969, prior_entropy: 0.3338, recall: 0.969, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9939, kappa: 0.9474, kb_relative_information_score: 12906.6806, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.3338, recall: 0.9939, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9743, kappa: 0.7638, kb_relative_information_score: 1645.9729, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9749, predictive_accuracy: 0.976, prior_entropy: 0.3338, recall: 0.976, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.7011, scimark_benchmark: 1851.3986, usercpu_time_millis: 1060.138, usercpu_time_millis_testing: 3.61, usercpu_time_millis_training: 1056.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9855, kappa: 0.8757, kb_relative_information_score: 10422.9624, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9857, predictive_accuracy: 0.9853, prior_entropy: 0.3338, recall: 0.9853, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.992, kappa: 0.931, kb_relative_information_score: 12372.5136, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.3338, recall: 0.992, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9942, kappa: 0.9499, kb_relative_information_score: 12446.4869, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2913, scimark_benchmark: 1854.4951, usercpu_time_millis: 1033.764, usercpu_time_millis_testing: 4.901, usercpu_time_millis_training: 1028.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.973, kappa: 0.7494, kb_relative_information_score: 1532.3788, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9739, predictive_accuracy: 0.975, prior_entropy: 0.3338, recall: 0.975, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.6928, scimark_benchmark: 1753.4699, usercpu_time_millis: 904.321, usercpu_time_millis_testing: 2.641, usercpu_time_millis_training: 901.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9907, kappa: 0.9186, kb_relative_information_score: 10109.7738, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9908, prior_entropy: 0.3338, recall: 0.9908, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.3758, scimark_benchmark: 1743.4352, usercpu_time_millis: 718.311, usercpu_time_millis_testing: 4.646, usercpu_time_millis_training: 713.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.993, kappa: 0.9389, kb_relative_information_score: 11454.4724, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9929, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.3231, scimark_benchmark: 1740.9228, usercpu_time_millis: 441.469, usercpu_time_millis_testing: 4.125, usercpu_time_millis_training: 437.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9951, kappa: 0.9579, kb_relative_information_score: 13078.4731, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9952, predictive_accuracy: 0.9951, prior_entropy: 0.3338, recall: 0.9951, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.9312, kappa: 0.3186, kb_relative_information_score: 479.6091, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9288, predictive_accuracy: 0.9422, prior_entropy: 0.3338, recall: 0.9422, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9932, kappa: 0.9409, kb_relative_information_score: 11835.3289, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.3338, recall: 0.9932, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3162, scimark_benchmark: 1756.3517, usercpu_time_millis: 377.257, usercpu_time_millis_testing: 3.568, usercpu_time_millis_training: 373.689,

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