Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131650 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7627, kappa: 0.4684, kb_relative_information_score: 235.0732, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1280.5649, usercpu_time_millis: 18.092, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 16.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 254.5989, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 1275.9387, usercpu_time_millis: 27.128, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 25.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 250.7156, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8261, scimark_benchmark: 1246.2711, usercpu_time_millis: 4.453, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 4.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7354, kappa: 0.4049, kb_relative_information_score: 166.7764, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7402, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8689, scimark_benchmark: 1269.665, usercpu_time_millis: 5.92, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 5.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7676, kappa: 0.4831, kb_relative_information_score: 256.1968, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8353, scimark_benchmark: 1253.1595, usercpu_time_millis: 25.757, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 24.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7503, kappa: 0.4387, kb_relative_information_score: 193.3703, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7545, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 1271.2451, usercpu_time_millis: 8.783, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 7.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7589, kappa: 0.4626, kb_relative_information_score: 248.0259, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.758, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8286, scimark_benchmark: 1279.1179, usercpu_time_millis: 33.092, usercpu_time_millis_testing: 2.619, usercpu_time_millis_training: 30.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7397, kappa: 0.4135, kb_relative_information_score: 146.8432, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7601, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8708, scimark_benchmark: 1247.8658, usercpu_time_millis: 7.136, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 6.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7633, kappa: 0.4729, kb_relative_information_score: 256.2054, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7623, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1286.3079, usercpu_time_millis: 35.932, usercpu_time_millis_testing: 1.865, usercpu_time_millis_training: 34.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7641, kappa: 0.4779, kb_relative_information_score: 261.4164, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8486, scimark_benchmark: 1270.159, usercpu_time_millis: 69.059, usercpu_time_millis_testing: 3.692, usercpu_time_millis_training: 65.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7624, kappa: 0.4701, kb_relative_information_score: 244.4902, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1267.4991, usercpu_time_millis: 5.419, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 4.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 257.8014, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1287.1226, usercpu_time_millis: 9.267, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 8.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.6758, kappa: 0.2783, kb_relative_information_score: 113.6789, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7321, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8964, scimark_benchmark: 1282.4895, usercpu_time_millis: 1.425, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.761, kappa: 0.4653, kb_relative_information_score: 242.1091, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1269.1047, usercpu_time_millis: 14.42, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 13.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.736, kappa: 0.4055, kb_relative_information_score: 165.5157, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.744, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8597, scimark_benchmark: 1253.2155, usercpu_time_millis: 6.868, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 6.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 250.7514, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8282, scimark_benchmark: 1246.8093, usercpu_time_millis: 40.169, usercpu_time_millis_testing: 2.788, usercpu_time_millis_training: 37.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.5134, kb_relative_information_score: 0.1999, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1263.3552, usercpu_time_millis: 0.901, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0741, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1256.9189, usercpu_time_millis: 6.153, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 5.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.0455, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1274.0262, usercpu_time_millis: 3.521, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 2.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5134, kb_relative_information_score: -0.3425, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1258.1281, usercpu_time_millis: 0.956, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7334, kappa: 0.4002, kb_relative_information_score: 158.6128, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7389, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8715, scimark_benchmark: 1266.2538, usercpu_time_millis: 8.887, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 7.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7627, kappa: 0.4684, kb_relative_information_score: 237.6777, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8311, scimark_benchmark: 1256.8494, usercpu_time_millis: 17.637, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 16.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7568, kappa: 0.4558, kb_relative_information_score: 238.8427, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1256.7513, usercpu_time_millis: 20.141, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 18.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1167, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1274.7901, usercpu_time_millis: 4.088, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 3.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 244.44, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8259, scimark_benchmark: 1256.3613, usercpu_time_millis: 14.626, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 13.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 255.0752, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1280.8295, usercpu_time_millis: 22.935, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 21.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7112, kappa: 0.3649, kb_relative_information_score: 244.6175, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7114, predictive_accuracy: 0.7109, prior_entropy: 0.9335, recall: 0.7109, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9483, scimark_benchmark: 1282.5148, usercpu_time_millis: 110.504, usercpu_time_millis_testing: 5.996, usercpu_time_millis_training: 104.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7634, kappa: 0.4772, kb_relative_information_score: 263.1156, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8511, scimark_benchmark: 1245.0815, usercpu_time_millis: 29.713, usercpu_time_millis_testing: 1.589, usercpu_time_millis_training: 28.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0077, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1267.621, usercpu_time_millis: 3.965, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 3.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.0107, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1285.4357, usercpu_time_millis: 5.848, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 5.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: 0.1387, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1274.5776, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.6939, kappa: 0.3137, kb_relative_information_score: 126.8812, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7315, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8868, scimark_benchmark: 1278.7378, usercpu_time_millis: 7.929, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 6.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7609, kappa: 0.4639, kb_relative_information_score: 215.8595, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8348, scimark_benchmark: 1261.7927, usercpu_time_millis: 7.893, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 7.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.751, kappa: 0.4408, kb_relative_information_score: 209.3969, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8359, scimark_benchmark: 1287.4932, usercpu_time_millis: 2.367, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7557, kappa: 0.4548, kb_relative_information_score: 243.9998, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 1284.1698, usercpu_time_millis: 10.343, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 9.807,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7612, kappa: 0.4649, kb_relative_information_score: 226.777, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1293.3869, usercpu_time_millis: 18.569, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 16.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 248.2999, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8278, scimark_benchmark: 1258.7552, usercpu_time_millis: 32.482, usercpu_time_millis_testing: 2.532, usercpu_time_millis_training: 29.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7116, kappa: 0.3517, kb_relative_information_score: 132.1211, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7426, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8831, scimark_benchmark: 1263.4815, usercpu_time_millis: 0.865, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7655, kappa: 0.4812, kb_relative_information_score: 251.7054, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8465, scimark_benchmark: 1269.137, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: -0.847, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1260.4587, usercpu_time_millis: 0.81, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7594, kappa: 0.4645, kb_relative_information_score: 252.7775, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8267, scimark_benchmark: 1278.05, usercpu_time_millis: 23.798, usercpu_time_millis_testing: 1.811, usercpu_time_millis_training: 21.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 255.3549, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1328.7472, usercpu_time_millis: 9.736, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 8.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7601, kappa: 0.4651, kb_relative_information_score: 250.6669, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7592, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8267, scimark_benchmark: 1270.7728, usercpu_time_millis: 40.485, usercpu_time_millis_testing: 2.861, usercpu_time_millis_training: 37.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0134, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1254.0736, usercpu_time_millis: 4.606, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 3.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 254.9067, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8413, scimark_benchmark: 1246.6034, usercpu_time_millis: 11.201, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 10.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.755, kappa: 0.4514, kb_relative_information_score: 210.8318, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8432, scimark_benchmark: 1267.0037, usercpu_time_millis: 21.905, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 19.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1266, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1263.6317, usercpu_time_millis: 5.909, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 5.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 246.5679, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7691, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8305, scimark_benchmark: 1256.7315, usercpu_time_millis: 24.089, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 21.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.5134, kb_relative_information_score: 0.0823, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1258.0354, usercpu_time_millis: 2.395, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7663, kappa: 0.4772, kb_relative_information_score: 244.9622, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1255.7628, usercpu_time_millis: 26.212, usercpu_time_millis_testing: 2.099, usercpu_time_millis_training: 24.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7691, kappa: 0.4865, kb_relative_information_score: 253.7013, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1251.7945, usercpu_time_millis: 29.369, usercpu_time_millis_testing: 2.245, usercpu_time_millis_training: 27.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7651, kappa: 0.4747, kb_relative_information_score: 241.9107, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1263.55, usercpu_time_millis: 15.602, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 14.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.754, kappa: 0.4484, kb_relative_information_score: 222.4785, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8371, scimark_benchmark: 1260.3836, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.0537, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1258.3457, usercpu_time_millis: 6.137, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 5.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 250.8589, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8301, scimark_benchmark: 1257.8627, usercpu_time_millis: 19.262, usercpu_time_millis_testing: 1.331, usercpu_time_millis_training: 17.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7536, kappa: 0.4474, kb_relative_information_score: 217.8193, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.837, scimark_benchmark: 1260.0865, usercpu_time_millis: 4.05, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 3.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1145, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1265.8216, usercpu_time_millis: 6.193, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 5.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7672, kappa: 0.4801, kb_relative_information_score: 244.4458, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8278, scimark_benchmark: 1262.811, usercpu_time_millis: 26.888, usercpu_time_millis_testing: 2.349, usercpu_time_millis_training: 24.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7551, kappa: 0.4509, kb_relative_information_score: 203.979, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, scimark_benchmark: 1266.6579, usercpu_time_millis: 34.001, usercpu_time_millis_testing: 4.232, usercpu_time_millis_training: 29.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.6567, kappa: 0.2439, kb_relative_information_score: 108.3453, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9006, scimark_benchmark: 1259.5626, usercpu_time_millis: 1.722, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7344, kappa: 0.4019, kb_relative_information_score: 164.2302, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7425, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8608, scimark_benchmark: 1261.603, usercpu_time_millis: 12.625, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 11.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7672, kappa: 0.4788, kb_relative_information_score: 232.0233, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8278, scimark_benchmark: 1264.9238, usercpu_time_millis: 22.996, usercpu_time_millis_testing: 2.427, usercpu_time_millis_training: 20.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 246.8828, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1258.8578, usercpu_time_millis: 1.174, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.766, kappa: 0.4776, kb_relative_information_score: 229.6633, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7657, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8342, scimark_benchmark: 1249.7653, usercpu_time_millis: 1.954, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7378, kappa: 0.4107, kb_relative_information_score: 172.837, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8633, scimark_benchmark: 1254.2351, usercpu_time_millis: 4.318, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 3.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 254.5906, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1257.3497, usercpu_time_millis: 46.855, usercpu_time_millis_testing: 3.614, usercpu_time_millis_training: 43.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7353, kappa: 0.404, kb_relative_information_score: 126.1572, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7623, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8893, scimark_benchmark: 1259.9378, usercpu_time_millis: 9.767, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 8.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.6979, kappa: 0.3217, kb_relative_information_score: 110.9825, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7303, predictive_accuracy: 0.7292, prior_entropy: 0.9335, recall: 0.7292, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9037, scimark_benchmark: 1258.6029, usercpu_time_millis: 4.011, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 3.416,

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