OpenML
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: 0.5461, f_measure: 0.5868, kappa: 0.1153, kb_relative_information_score: 0.2634, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7117, predictive_accuracy: 0.6784, prior_entropy: 0.9331, recall: 0.6784, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5876, kappa: 0.1179, kb_relative_information_score: 0.2663, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7196, predictive_accuracy: 0.6797, prior_entropy: 0.9331, recall: 0.6797, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.566, root_relative_squared_error: 1.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.6513, kappa: 0.2338, kb_relative_information_score: 0.3379, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7415, predictive_accuracy: 0.7109, prior_entropy: 0.9331, recall: 0.7109, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7496, kappa: 0.4394, kb_relative_information_score: 0.4423, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7565, prior_entropy: 0.9331, recall: 0.7565, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6872, kappa: 0.311, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.687, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.761, kappa: 0.4635, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.6913, kappa: 0.3178, kb_relative_information_score: 0.2962, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6901, predictive_accuracy: 0.6927, prior_entropy: 0.9331, recall: 0.6927, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6875, kappa: 0.3097, kb_relative_information_score: 0.2872, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6888, prior_entropy: 0.9331, recall: 0.6888, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7704, kappa: 0.484, kb_relative_information_score: 0.496, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7764, predictive_accuracy: 0.7799, prior_entropy: 0.9331, recall: 0.7799, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7535, kappa: 0.4447, kb_relative_information_score: 0.4691, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7667, predictive_accuracy: 0.7682, prior_entropy: 0.9331, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5724, kappa: 0.0583, kb_relative_information_score: 0.1828, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5925, predictive_accuracy: 0.6432, prior_entropy: 0.9331, recall: 0.6432, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.2532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.5504, kappa: 0.0276, kb_relative_information_score: 0.1799, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5769, predictive_accuracy: 0.6419, prior_entropy: 0.9331, recall: 0.6419, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5984, root_relative_squared_error: 1.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.5656, kappa: 0.045, kb_relative_information_score: 0.1739, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5829, predictive_accuracy: 0.6393, prior_entropy: 0.9331, recall: 0.6393, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6006, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7479, kappa: 0.4336, kb_relative_information_score: 0.4453, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7578, prior_entropy: 0.9331, recall: 0.7578, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.765, kappa: 0.4718, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7706, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7681, kappa: 0.4788, kb_relative_information_score: 0.49, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7733, predictive_accuracy: 0.7773, prior_entropy: 0.9331, recall: 0.7773, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.765, kappa: 0.4718, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7706, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.7592, kappa: 0.4586, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6846, kappa: 0.3027, kb_relative_information_score: 0.2813, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6833, predictive_accuracy: 0.6862, prior_entropy: 0.9331, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7523, kappa: 0.4454, kb_relative_information_score: 211.9687, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8449, scimark_benchmark: 1319.0759, usercpu_time_millis: 27.654, usercpu_time_millis_testing: 3.284, usercpu_time_millis_training: 24.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.6383, kappa: 0.2082, kb_relative_information_score: 99.9034, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7319, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.908, scimark_benchmark: 1312.3449, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 253.2471, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8311, scimark_benchmark: 1300.8373, usercpu_time_millis: 10.756, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 10.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.758, kappa: 0.4597, kb_relative_information_score: 246.0499, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7575, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1318.3933, usercpu_time_millis: 12.88, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 11.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1946, 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: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1317.2118, usercpu_time_millis: 3.339, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 2.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 250.9209, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1295.2451, usercpu_time_millis: 51.865, usercpu_time_millis_testing: 3.721, usercpu_time_millis_training: 48.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.603, kappa: 0.1442, kb_relative_information_score: 85.8262, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7213, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9202, scimark_benchmark: 1322.0173, usercpu_time_millis: 1.581, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7695, kappa: 0.4863, kb_relative_information_score: 246.5722, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7688, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8243, scimark_benchmark: 1320.2833, usercpu_time_millis: 31.865, usercpu_time_millis_testing: 2.835, usercpu_time_millis_training: 29.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7591, kappa: 0.4608, kb_relative_information_score: 212.1574, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, scimark_benchmark: 1300.0531, usercpu_time_millis: 19.195, usercpu_time_millis_testing: 2.233, usercpu_time_millis_training: 16.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.763, kappa: 0.4693, kb_relative_information_score: 234.7861, mean_absolute_error: 0.3226, 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: 0.7098, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323, scimark_benchmark: 1292.6515, usercpu_time_millis: 9.951, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 9.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7553, kappa: 0.4504, kb_relative_information_score: 210.3878, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1297.3396, usercpu_time_millis: 11.618, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 10.264,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7529, kappa: 0.4474, kb_relative_information_score: 219.7161, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.753, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8424, scimark_benchmark: 1295.0845, usercpu_time_millis: 7.79, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 7.204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7609, kappa: 0.4639, kb_relative_information_score: 218.1706, mean_absolute_error: 0.3338, 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: 0.7345, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1305.6638, usercpu_time_millis: 12.511, usercpu_time_millis_testing: 1.694, usercpu_time_millis_training: 10.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7386, kappa: 0.4143, kb_relative_information_score: 189.083, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7388, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8627, scimark_benchmark: 1299.2713, usercpu_time_millis: 0.727, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.3211, 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: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1311.0146, usercpu_time_millis: 2.049, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 254.8525, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8252, scimark_benchmark: 1319.7304, usercpu_time_millis: 21.324, usercpu_time_millis_testing: 1.867, usercpu_time_millis_training: 19.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.1104, 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: 1289.0877, usercpu_time_millis: 3.626, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 2.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7612, kappa: 0.4711, kb_relative_information_score: 262.0775, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8457, scimark_benchmark: 1276.4743, usercpu_time_millis: 59.422, usercpu_time_millis_testing: 3.287, usercpu_time_millis_training: 56.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7677, kappa: 0.4852, kb_relative_information_score: 260.1026, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8404, scimark_benchmark: 1285.3013, usercpu_time_millis: 59.612, usercpu_time_millis_testing: 4.682, usercpu_time_millis_training: 54.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.758, kappa: 0.4583, kb_relative_information_score: 212.7226, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8449, scimark_benchmark: 1271.3617, usercpu_time_millis: 50.588, usercpu_time_millis_testing: 6.108, usercpu_time_millis_training: 44.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 257.588, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 1254.6166, usercpu_time_millis: 9.605, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 8.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7591, kappa: 0.4608, kb_relative_information_score: 209.2855, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8426, scimark_benchmark: 1313.4268, usercpu_time_millis: 41.17, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 36.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7708, kappa: 0.4908, kb_relative_information_score: 253.9819, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367, scimark_benchmark: 1286.7366, usercpu_time_millis: 46.711, usercpu_time_millis_testing: 2.533, usercpu_time_millis_training: 44.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7643, kappa: 0.4788, kb_relative_information_score: 258.937, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8445, scimark_benchmark: 1271.8237, usercpu_time_millis: 59.695, usercpu_time_millis_testing: 4.647, usercpu_time_millis_training: 55.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7448, kappa: 0.4271, kb_relative_information_score: 203.3562, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7471, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8398, scimark_benchmark: 1292.059, usercpu_time_millis: 2.365, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 2.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7585, kappa: 0.463, kb_relative_information_score: 246.3531, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8432, scimark_benchmark: 1244.1447, usercpu_time_millis: 72.866, usercpu_time_millis_testing: 7.729, usercpu_time_millis_training: 65.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7535, kappa: 0.4479, kb_relative_information_score: 207.8524, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8439, scimark_benchmark: 1309.8499, usercpu_time_millis: 24.755, usercpu_time_millis_testing: 3.331, usercpu_time_millis_training: 21.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7455, kappa: 0.4363, kb_relative_information_score: 261.7402, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7443, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8577, scimark_benchmark: 1320.764, usercpu_time_millis: 27.804, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 26.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 234.7003, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8355, scimark_benchmark: 1303.4916, usercpu_time_millis: 2.97, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 2.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 260.8768, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8352, scimark_benchmark: 1297.6526, usercpu_time_millis: 3.972, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 3.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7369, kappa: 0.4073, kb_relative_information_score: 149.3291, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7481, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8767, scimark_benchmark: 1301.6563, usercpu_time_millis: 6.823, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 5.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7586, kappa: 0.4653, kb_relative_information_score: 262.765, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7575, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8501, scimark_benchmark: 1313.6945, usercpu_time_millis: 50.631, usercpu_time_millis_testing: 3.38, usercpu_time_millis_training: 47.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7686, kappa: 0.481, kb_relative_information_score: 216.2624, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7711, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1293.9582, usercpu_time_millis: 10.413, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 9.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7482, kappa: 0.4327, kb_relative_information_score: 155.2794, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8664, scimark_benchmark: 1312.7291, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7451, kappa: 0.4288, kb_relative_information_score: 229.6489, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8324, scimark_benchmark: 1303.2352, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7571, kappa: 0.4549, kb_relative_information_score: 199.4253, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8444, scimark_benchmark: 1305.6084, usercpu_time_millis: 6.24, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 5.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7732, kappa: 0.4958, kb_relative_information_score: 261.7356, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7722, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.828, scimark_benchmark: 1295.8337, usercpu_time_millis: 6.641, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 6.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.6732, kappa: 0.2762, kb_relative_information_score: 115.2719, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7475, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8947, scimark_benchmark: 1306.4297, usercpu_time_millis: 7.544, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 6.772,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs