Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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112802 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.8884, kappa: 0.4081, kb_relative_information_score: 0.4478, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9028, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.8774, kappa: 0.3765, kb_relative_information_score: 0.3406, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8737, predictive_accuracy: 0.8903, prior_entropy: 0.5353, recall: 0.8903, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.8862, kappa: 0.3952, kb_relative_information_score: 0.4395, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9011, predictive_accuracy: 0.9067, prior_entropy: 0.5353, recall: 0.9067, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.8683, kappa: 0.3146, kb_relative_information_score: 0.32, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8655, predictive_accuracy: 0.8868, prior_entropy: 0.5353, recall: 0.8868, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3364, root_relative_squared_error: 1.0276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.8819, kappa: 0.4013, kb_relative_information_score: 0.3612, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8786, predictive_accuracy: 0.8937, prior_entropy: 0.5353, recall: 0.8937, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.8349, kappa: 0.1118, kb_relative_information_score: 0.2128, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8231, predictive_accuracy: 0.869, prior_entropy: 0.5353, recall: 0.869, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.1056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.8315, kappa: 0.0736, kb_relative_information_score: 0.2541, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8282, predictive_accuracy: 0.8759, prior_entropy: 0.5353, recall: 0.8759, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3523, root_relative_squared_error: 1.0762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.8931, kappa: 0.4382, kb_relative_information_score: 0.4601, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9035, predictive_accuracy: 0.9102, prior_entropy: 0.5353, recall: 0.9102, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.9032, kappa: 0.5021, kb_relative_information_score: 0.489, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9071, predictive_accuracy: 0.915, prior_entropy: 0.5353, recall: 0.915, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.9012, kappa: 0.491, kb_relative_information_score: 0.4807, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9053, predictive_accuracy: 0.9136, prior_entropy: 0.5353, recall: 0.9136, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.8944, kappa: 0.4894, kb_relative_information_score: 0.3901, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8917, predictive_accuracy: 0.8985, prior_entropy: 0.5353, recall: 0.8985, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.8829, kappa: 0.4251, kb_relative_information_score: 0.3365, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.879, predictive_accuracy: 0.8896, prior_entropy: 0.5353, recall: 0.8896, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.8792, kappa: 0.3985, kb_relative_information_score: 0.3282, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8747, predictive_accuracy: 0.8882, prior_entropy: 0.5353, recall: 0.8882, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.9041, kappa: 0.5076, kb_relative_information_score: 0.4931, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.908, predictive_accuracy: 0.9156, prior_entropy: 0.5353, recall: 0.9156, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.8964, kappa: 0.4553, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9081, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.842, kappa: 0.1267, kb_relative_information_score: 0.3159, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8849, predictive_accuracy: 0.8861, prior_entropy: 0.5353, recall: 0.8861, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3374, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.8973, kappa: 0.4623, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9069, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.8811, kappa: 0.4148, kb_relative_information_score: 0.3282, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8769, predictive_accuracy: 0.8882, prior_entropy: 0.5353, recall: 0.8882, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.8854, kappa: 0.4413, kb_relative_information_score: 0.3447, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8819, predictive_accuracy: 0.8909, prior_entropy: 0.5353, recall: 0.8909, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3302, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.8858, kappa: 0.4394, kb_relative_information_score: 0.353, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8821, predictive_accuracy: 0.8923, prior_entropy: 0.5353, recall: 0.8923, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.8401, kappa: 0.1162, kb_relative_information_score: 0.3076, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8767, predictive_accuracy: 0.8848, prior_entropy: 0.5353, recall: 0.8848, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3395, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 364.8187, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.79, scimark_benchmark: 1340.2156, usercpu_time_millis: 126.131, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 126.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8921, kappa: 0.4469, kb_relative_information_score: 366.6383, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8925, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8168, scimark_benchmark: 1342.9541, usercpu_time_millis: 4.303, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -72.0627, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9979, scimark_benchmark: 1326.34, usercpu_time_millis: 13.121, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 12.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 360.2077, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7919, scimark_benchmark: 1357.4533, usercpu_time_millis: 222.343, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 222.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8948, kappa: 0.4596, kb_relative_information_score: 356.876, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8964, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.8203, scimark_benchmark: 1340.0849, usercpu_time_millis: 4.137, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.8302, kappa: 0.0621, kb_relative_information_score: -100.6831, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8318, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.9789, scimark_benchmark: 1343.7348, usercpu_time_millis: 15.54, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 15.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 54.6761, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.9761, scimark_benchmark: 1357.1027, usercpu_time_millis: 4.323, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 4.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8991, kappa: 0.4699, kb_relative_information_score: 377.6992, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9112, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.784, scimark_benchmark: 1321.8669, usercpu_time_millis: 8.992, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 8.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 35.5643, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9901, scimark_benchmark: 1357.7864, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: 12.0091, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8322, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9986, scimark_benchmark: 1349.2026, usercpu_time_millis: 5.059, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 4.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8972, kappa: 0.4632, kb_relative_information_score: 374.4143, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9051, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7915, scimark_benchmark: 1342.4742, usercpu_time_millis: 3.616, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8962, kappa: 0.4684, kb_relative_information_score: 375.7354, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8237, scimark_benchmark: 1346.106, usercpu_time_millis: 4.312, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 24.3192, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.993, scimark_benchmark: 1330.9157, usercpu_time_millis: 4.072, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 33.1268, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.991, scimark_benchmark: 1321.0057, usercpu_time_millis: 4.237, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8667, kappa: 0.2775, kb_relative_information_score: 287.2047, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8899, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8868, scimark_benchmark: 1347.1033, usercpu_time_millis: 3.903, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 3.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 30.8866, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9916, scimark_benchmark: 1327.71, usercpu_time_millis: 3.951, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.8295, kappa: 0.053, kb_relative_information_score: 78.3743, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8551, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.9724, scimark_benchmark: 1337.6693, usercpu_time_millis: 4.153, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8955, kappa: 0.4611, kb_relative_information_score: 358.5637, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8985, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.268, root_relative_squared_error: 0.8187, scimark_benchmark: 1340.5277, usercpu_time_millis: 4.118, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.895, kappa: 0.4445, kb_relative_information_score: 345.4766, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9103, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.7956, scimark_benchmark: 1325.5439, usercpu_time_millis: 364.49, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 364.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8949, kappa: 0.4457, kb_relative_information_score: 353.39, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.7925, scimark_benchmark: 1331.4607, usercpu_time_millis: 66.289, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 66.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8997, kappa: 0.4725, kb_relative_information_score: 358.5393, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9127, predictive_accuracy: 0.9156, prior_entropy: 0.5368, recall: 0.9156, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.7873, scimark_benchmark: 1351.2723, usercpu_time_millis: 17.535, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 17.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.8427, kappa: 0.1523, kb_relative_information_score: 16.0977, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.838, predictive_accuracy: 0.8759, prior_entropy: 0.5368, recall: 0.8759, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9425, scimark_benchmark: 1331.9325, usercpu_time_millis: 13.332, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 13.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -151.3853, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.9842, scimark_benchmark: 1309.8768, usercpu_time_millis: 15.08, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 14.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8993, kappa: 0.4742, kb_relative_information_score: 376.8118, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9086, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7893, scimark_benchmark: 1319.5249, usercpu_time_millis: 4.239, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 32.687, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.9913, scimark_benchmark: 1326.7173, usercpu_time_millis: 3.964, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8681, kappa: 0.3075, kb_relative_information_score: 222.9508, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8678, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.8726, scimark_benchmark: 1312.6, usercpu_time_millis: 8.953, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 8.794,
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: 0.7749, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 57.4878, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9757, scimark_benchmark: 1326.7283, usercpu_time_millis: 4.497, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 4.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: -143.421, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.9824, scimark_benchmark: 1296.8763, usercpu_time_millis: 14.805, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 14.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8988, kappa: 0.4765, kb_relative_information_score: 434.0831, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.7889, scimark_benchmark: 1301.915, usercpu_time_millis: 4.623, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -0.532, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3286, root_relative_squared_error: 1.0036, scimark_benchmark: 1300.8969, usercpu_time_millis: 4.462, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8492, kappa: 0.1722, kb_relative_information_score: 172.6312, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8788, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9131, scimark_benchmark: 1307.8321, usercpu_time_millis: 5.924, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 5.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -113.3699, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.996, scimark_benchmark: 1296.0941, usercpu_time_millis: 13.379, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 13.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.8375, kappa: 0.106, kb_relative_information_score: 139.5592, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8492, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.9495, scimark_benchmark: 1284.7563, usercpu_time_millis: 4.342, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8993, kappa: 0.4742, kb_relative_information_score: 373.8332, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9086, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7893, scimark_benchmark: 1288.7074, usercpu_time_millis: 3.876, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 3.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.8279, kappa: 0.0437, kb_relative_information_score: 82.1779, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8495, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.9741, scimark_benchmark: 1334.1604, usercpu_time_millis: 3.343, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8993, kappa: 0.4797, kb_relative_information_score: 449.3829, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9036, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.7887, scimark_benchmark: 1323.1082, usercpu_time_millis: 4.347, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4743, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -6.4524, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.004, scimark_benchmark: 1299.4571, usercpu_time_millis: 5.848, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 5.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8971, kappa: 0.4692, kb_relative_information_score: 373.7379, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9005, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.807, scimark_benchmark: 1314.8711, usercpu_time_millis: 3.226, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 365.3482, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.79, scimark_benchmark: 1359.5244, usercpu_time_millis: 118.716, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 118.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8944, kappa: 0.442, kb_relative_information_score: 349.7948, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9087, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.7948, scimark_benchmark: 1336.3309, usercpu_time_millis: 349.627, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 349.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: 22.1108, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9946, scimark_benchmark: 1304.359, usercpu_time_millis: 3.969, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8927, kappa: 0.4492, kb_relative_information_score: 448.8544, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7846, scimark_benchmark: 1288.2425, usercpu_time_millis: 4.63, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8933, kappa: 0.4358, kb_relative_information_score: 344.2672, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.7977, scimark_benchmark: 1293.2016, usercpu_time_millis: 420.916, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 420.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8397, kappa: 0.1323, kb_relative_information_score: 25.7925, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8346, predictive_accuracy: 0.8752, prior_entropy: 0.5368, recall: 0.8752, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.9503, scimark_benchmark: 1283.9003, usercpu_time_millis: 13.603, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 13.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8955, kappa: 0.4611, kb_relative_information_score: 396.6619, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8985, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.8207, scimark_benchmark: 1310.4611, usercpu_time_millis: 4.585, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.8271, kappa: 0.0407, kb_relative_information_score: -120.647, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8341, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.979, scimark_benchmark: 1317.3433, usercpu_time_millis: 15.524, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 15.292,

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

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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

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