Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.6236, kappa: 0.2477, kb_relative_information_score: 131.2066, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6241, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9673, scimark_benchmark: 1253.5578, usercpu_time_millis: 90.009, usercpu_time_millis_testing: 5.52, usercpu_time_millis_training: 84.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7203, kappa: 0.4431, kb_relative_information_score: 332.2361, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7255, predictive_accuracy: 0.7215, prior_entropy: 1, recall: 0.7215, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9158, scimark_benchmark: 1249.8323, usercpu_time_millis: 241.999, usercpu_time_millis_testing: 6.047, usercpu_time_millis_training: 235.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6057, kappa: 0.2115, kb_relative_information_score: 38.7511, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6058, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1255.525, usercpu_time_millis: 43.463, usercpu_time_millis_testing: 3.957, usercpu_time_millis_training: 39.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6106, kappa: 0.2215, kb_relative_information_score: 37.041, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.611, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9905, scimark_benchmark: 1265.7012, usercpu_time_millis: 29.23, usercpu_time_millis_testing: 2.73, usercpu_time_millis_training: 26.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1270.0769, usercpu_time_millis: 27.585, usercpu_time_millis_testing: 3.086, usercpu_time_millis_training: 24.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.5592, kappa: 0.1185, kb_relative_information_score: 29.9722, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5593, predictive_accuracy: 0.5592, prior_entropy: 1, recall: 0.5592, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9935, scimark_benchmark: 1264.8495, usercpu_time_millis: 24.552, usercpu_time_millis_testing: 2.223, usercpu_time_millis_training: 22.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8004, kappa: 0.6015, kb_relative_information_score: 689.8773, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8031, predictive_accuracy: 0.8008, prior_entropy: 1, recall: 0.8008, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8182, scimark_benchmark: 1253.5097, usercpu_time_millis: 979.522, usercpu_time_millis_testing: 13.536, usercpu_time_millis_training: 965.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1240.1776, usercpu_time_millis: 10.621, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 9.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.641, kappa: 0.2831, kb_relative_information_score: 165.0586, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6423, predictive_accuracy: 0.6415, prior_entropy: 1, recall: 0.6415, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9583, scimark_benchmark: 1256.9297, usercpu_time_millis: 106.279, usercpu_time_millis_testing: 4.666, usercpu_time_millis_training: 101.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8042, kappa: 0.6092, kb_relative_information_score: 679.8417, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8074, predictive_accuracy: 0.8046, prior_entropy: 1, recall: 0.8046, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8202, scimark_benchmark: 1247.0191, usercpu_time_millis: 799.022, usercpu_time_millis_testing: 10.377, usercpu_time_millis_training: 788.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.6233, kappa: 0.2469, kb_relative_information_score: 173.3438, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6237, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9578, scimark_benchmark: 1261.2724, usercpu_time_millis: 59.143, usercpu_time_millis_testing: 3.206, usercpu_time_millis_training: 55.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.6607, kappa: 0.3238, kb_relative_information_score: 231.592, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6643, predictive_accuracy: 0.6619, prior_entropy: 1, recall: 0.6619, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9427, scimark_benchmark: 1252.3776, usercpu_time_millis: 319.751, usercpu_time_millis_testing: 9.662, usercpu_time_millis_training: 310.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.7949, kappa: 0.5908, kb_relative_information_score: 662.4478, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7982, predictive_accuracy: 0.7954, prior_entropy: 1, recall: 0.7954, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8257, scimark_benchmark: 1246.1853, usercpu_time_millis: 317.791, usercpu_time_millis_testing: 5.19, usercpu_time_millis_training: 312.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1244.1908, usercpu_time_millis: 27.334, usercpu_time_millis_testing: 2.985, usercpu_time_millis_training: 24.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6266, kappa: 0.2538, kb_relative_information_score: 182.5216, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6274, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9555, scimark_benchmark: 1251.1949, usercpu_time_millis: 28.822, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 26.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.6821, kappa: 0.3669, kb_relative_information_score: 327.0012, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6868, predictive_accuracy: 0.6835, prior_entropy: 1, recall: 0.6835, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9207, scimark_benchmark: 1263.5506, usercpu_time_millis: 20.536, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 19.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1238.4456, usercpu_time_millis: 14.414, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 12.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.657, kappa: 0.3146, kb_relative_information_score: 156.0897, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6578, predictive_accuracy: 0.6573, prior_entropy: 1, recall: 0.6573, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9603, scimark_benchmark: 1248.081, usercpu_time_millis: 287.604, usercpu_time_millis_testing: 13.268, usercpu_time_millis_training: 274.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.641, kappa: 0.2823, kb_relative_information_score: 180.5734, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6414, predictive_accuracy: 0.6412, prior_entropy: 1, recall: 0.6412, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9581, scimark_benchmark: 1243.5738, usercpu_time_millis: 25.715, usercpu_time_millis_testing: 1.442, usercpu_time_millis_training: 24.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.6672, kappa: 0.3369, kb_relative_information_score: 267.7156, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6711, predictive_accuracy: 0.6685, prior_entropy: 1, recall: 0.6685, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9343, scimark_benchmark: 1242.8645, usercpu_time_millis: 113.743, usercpu_time_millis_testing: 2.988, usercpu_time_millis_training: 110.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.6626, kappa: 0.3262, kb_relative_information_score: 210.1448, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.664, predictive_accuracy: 0.6631, prior_entropy: 1, recall: 0.6631, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9475, scimark_benchmark: 1241.5368, usercpu_time_millis: 106.464, usercpu_time_millis_testing: 3.671, usercpu_time_millis_training: 102.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6251, kappa: 0.2508, kb_relative_information_score: 143.5466, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6257, predictive_accuracy: 0.6254, prior_entropy: 1, recall: 0.6254, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9647, scimark_benchmark: 1257.2146, usercpu_time_millis: 98.403, usercpu_time_millis_testing: 4.186, usercpu_time_millis_training: 94.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6833, kappa: 0.3685, kb_relative_information_score: 243.6781, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6864, predictive_accuracy: 0.6842, prior_entropy: 1, recall: 0.6842, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9379, scimark_benchmark: 1253.1138, usercpu_time_millis: 300.909, usercpu_time_millis_testing: 9.008, usercpu_time_millis_training: 291.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7236, kappa: 0.4492, kb_relative_information_score: 342.1516, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7279, predictive_accuracy: 0.7246, prior_entropy: 1, recall: 0.7246, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9119, scimark_benchmark: 1238.6815, usercpu_time_millis: 292.292, usercpu_time_millis_testing: 8.336, usercpu_time_millis_training: 283.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.6934, kappa: 0.3885, kb_relative_information_score: 294.57, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6963, predictive_accuracy: 0.6942, prior_entropy: 1, recall: 0.6942, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9267, scimark_benchmark: 1249.4749, usercpu_time_millis: 45.321, usercpu_time_millis_testing: 2.138, usercpu_time_millis_training: 43.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1261.0357, usercpu_time_millis: 27.823, usercpu_time_millis_testing: 3.523, usercpu_time_millis_training: 24.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.6351, kappa: 0.2708, kb_relative_information_score: 104.6722, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6358, predictive_accuracy: 0.6354, prior_entropy: 1, recall: 0.6354, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9734, scimark_benchmark: 1243.0844, usercpu_time_millis: 310.397, usercpu_time_millis_testing: 16.566, usercpu_time_millis_training: 293.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6245, kappa: 0.2492, kb_relative_information_score: 179.4495, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6247, predictive_accuracy: 0.6246, prior_entropy: 1, recall: 0.6246, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9561, scimark_benchmark: 1243.3398, usercpu_time_millis: 120.518, usercpu_time_millis_testing: 4.224, usercpu_time_millis_training: 116.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6298, kappa: 0.26, kb_relative_information_score: 181.0886, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6303, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9554, scimark_benchmark: 1223.215, usercpu_time_millis: 50.478, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 48.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1245.4248, usercpu_time_millis: 23.953, usercpu_time_millis_testing: 2.869, usercpu_time_millis_training: 21.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6731, kappa: 0.3492, kb_relative_information_score: 267.1226, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.678, predictive_accuracy: 0.6746, prior_entropy: 1, recall: 0.6746, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9338, scimark_benchmark: 1234.5299, usercpu_time_millis: 210.218, usercpu_time_millis_testing: 6.217, usercpu_time_millis_training: 204.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.6228, kappa: 0.2462, kb_relative_information_score: 153.0142, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6234, predictive_accuracy: 0.6231, prior_entropy: 1, recall: 0.6231, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9622, scimark_benchmark: 1250.2948, usercpu_time_millis: 92.877, usercpu_time_millis_testing: 4.643, usercpu_time_millis_training: 88.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6092, kappa: 0.2185, kb_relative_information_score: 54.0361, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6093, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9862, scimark_benchmark: 1243.0374, usercpu_time_millis: 74.833, usercpu_time_millis_testing: 4.421, usercpu_time_millis_training: 70.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7348, kappa: 0.4723, kb_relative_information_score: 393.1162, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.741, predictive_accuracy: 0.7362, prior_entropy: 1, recall: 0.7362, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8988, scimark_benchmark: 1242.0536, usercpu_time_millis: 318.528, usercpu_time_millis_testing: 6.961, usercpu_time_millis_training: 311.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.705, kappa: 0.4115, kb_relative_information_score: 306.1584, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7078, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9218, scimark_benchmark: 1254.2947, usercpu_time_millis: 222.207, usercpu_time_millis_testing: 6.03, usercpu_time_millis_training: 216.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.629, kappa: 0.2585, kb_relative_information_score: 127.5223, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6295, predictive_accuracy: 0.6292, prior_entropy: 1, recall: 0.6292, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9677, scimark_benchmark: 1253.2258, usercpu_time_millis: 128.686, usercpu_time_millis_testing: 5.72, usercpu_time_millis_training: 122.966,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6425, kappa: 0.2862, kb_relative_information_score: 170.4171, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.644, predictive_accuracy: 0.6431, prior_entropy: 1, recall: 0.6431, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.958, scimark_benchmark: 1253.2416, usercpu_time_millis: 102.862, usercpu_time_millis_testing: 4.005, usercpu_time_millis_training: 98.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.6782, kappa: 0.3585, kb_relative_information_score: 249.1115, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6815, predictive_accuracy: 0.6792, prior_entropy: 1, recall: 0.6792, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9376, scimark_benchmark: 1234.9364, usercpu_time_millis: 180.558, usercpu_time_millis_testing: 6.429, usercpu_time_millis_training: 174.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6033, kappa: 0.2069, kb_relative_information_score: 98.661, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6037, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9763, scimark_benchmark: 1256.6928, usercpu_time_millis: 76.246, usercpu_time_millis_testing: 3.591, usercpu_time_millis_training: 72.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1252.2718, usercpu_time_millis: 30.808, usercpu_time_millis_testing: 3.417, usercpu_time_millis_training: 27.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.6395, kappa: 0.28, kb_relative_information_score: 138.2613, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6408, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9653, scimark_benchmark: 1228.5579, usercpu_time_millis: 116.729, usercpu_time_millis_testing: 6.533, usercpu_time_millis_training: 110.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6176, kappa: 0.2354, kb_relative_information_score: 158.1572, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9621, scimark_benchmark: 1250.3761, usercpu_time_millis: 36.62, usercpu_time_millis_testing: 2.262, usercpu_time_millis_training: 34.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6153, kappa: 0.2308, kb_relative_information_score: 61.9852, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6155, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9842, scimark_benchmark: 1240.6692, usercpu_time_millis: 34.119, usercpu_time_millis_testing: 2.906, usercpu_time_millis_training: 31.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.6383, kappa: 0.2777, kb_relative_information_score: 189.3166, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6396, predictive_accuracy: 0.6388, prior_entropy: 1, recall: 0.6388, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9527, scimark_benchmark: 1237.4171, usercpu_time_millis: 93.897, usercpu_time_millis_testing: 3.345, usercpu_time_millis_training: 90.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6444, kappa: 0.2892, kb_relative_information_score: 157.529, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.645, predictive_accuracy: 0.6446, prior_entropy: 1, recall: 0.6446, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.96, scimark_benchmark: 1255.6008, usercpu_time_millis: 89.869, usercpu_time_millis_testing: 4.966, usercpu_time_millis_training: 84.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6457, kappa: 0.2923, kb_relative_information_score: 186.8211, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6468, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9531, scimark_benchmark: 1253.0193, usercpu_time_millis: 72.339, usercpu_time_millis_testing: 2.896, usercpu_time_millis_training: 69.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.6378, kappa: 0.2769, kb_relative_information_score: 222.3744, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6395, predictive_accuracy: 0.6385, prior_entropy: 1, recall: 0.6385, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.473, root_relative_squared_error: 0.946, scimark_benchmark: 1243.7362, usercpu_time_millis: 46.144, usercpu_time_millis_testing: 1.68, usercpu_time_millis_training: 44.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.6758, kappa: 0.3538, kb_relative_information_score: 238.4659, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6794, predictive_accuracy: 0.6769, prior_entropy: 1, recall: 0.6769, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9399, scimark_benchmark: 1243.6668, usercpu_time_millis: 47.049, usercpu_time_millis_testing: 2.254, usercpu_time_millis_training: 44.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.6126, kappa: 0.2254, kb_relative_information_score: 77.433, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6128, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9803, scimark_benchmark: 1254.3431, usercpu_time_millis: 32.673, usercpu_time_millis_testing: 2.693, usercpu_time_millis_training: 29.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1253.7321, usercpu_time_millis: 24.644, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 21.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1258.0327, usercpu_time_millis: 24.027, usercpu_time_millis_testing: 2.626, usercpu_time_millis_training: 21.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.5992, kappa: 0.1985, kb_relative_information_score: 65.3578, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5993, predictive_accuracy: 0.5992, prior_entropy: 1, recall: 0.5992, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9836, scimark_benchmark: 1254.0176, usercpu_time_millis: 25.993, usercpu_time_millis_testing: 1.925, usercpu_time_millis_training: 24.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.705, kappa: 0.4108, kb_relative_information_score: 332.216, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7064, predictive_accuracy: 0.7054, prior_entropy: 1, recall: 0.7054, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9179, scimark_benchmark: 1246.2583, usercpu_time_millis: 22.522, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 21.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1261.1798, usercpu_time_millis: 18.669, usercpu_time_millis_testing: 3.077, usercpu_time_millis_training: 15.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.6495, kappa: 0.3, kb_relative_information_score: 247.9261, mean_absolute_error: 0.4622, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6509, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9437, scimark_benchmark: 1239.8999, usercpu_time_millis: 20.65, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 19.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1261.6658, usercpu_time_millis: 17.38, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 15.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1220.1559, usercpu_time_millis: 17.012, usercpu_time_millis_testing: 2.103, usercpu_time_millis_training: 14.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1236.5244, usercpu_time_millis: 15.563, usercpu_time_millis_testing: 2.275, usercpu_time_millis_training: 13.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6277, kappa: 0.2554, kb_relative_information_score: 80.049, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6277, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9795, scimark_benchmark: 1273.2987, usercpu_time_millis: 227.633, usercpu_time_millis_testing: 14.357, usercpu_time_millis_training: 213.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.6452, kappa: 0.2908, kb_relative_information_score: 152.4034, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6457, predictive_accuracy: 0.6454, prior_entropy: 1, recall: 0.6454, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9612, scimark_benchmark: 1263.7713, usercpu_time_millis: 318.867, usercpu_time_millis_testing: 16.477, usercpu_time_millis_training: 302.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6471, kappa: 0.2954, kb_relative_information_score: 163.4904, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6486, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9586, scimark_benchmark: 1269.3395, usercpu_time_millis: 156.54, usercpu_time_millis_testing: 7.448, usercpu_time_millis_training: 149.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.6092, kappa: 0.2185, kb_relative_information_score: 40.8286, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 1262.2661, usercpu_time_millis: 53.919, usercpu_time_millis_testing: 4.558, usercpu_time_millis_training: 49.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.6149, kappa: 0.23, kb_relative_information_score: 84.9999, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6151, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9785, scimark_benchmark: 1271.3805, usercpu_time_millis: 36.278, usercpu_time_millis_testing: 2.827, usercpu_time_millis_training: 33.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.6104, kappa: 0.2208, kb_relative_information_score: 41.0109, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6104, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9895, scimark_benchmark: 1272.0848, usercpu_time_millis: 235.017, usercpu_time_millis_testing: 19.221, usercpu_time_millis_training: 215.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.6203, kappa: 0.2408, kb_relative_information_score: 66.3787, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6205, predictive_accuracy: 0.6204, prior_entropy: 1, recall: 0.6204, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9831, scimark_benchmark: 1255.8881, usercpu_time_millis: 297.212, usercpu_time_millis_testing: 17.73, usercpu_time_millis_training: 279.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6137, kappa: 0.2277, kb_relative_information_score: 85.6244, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.614, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784, scimark_benchmark: 1250.1365, usercpu_time_millis: 129.271, usercpu_time_millis_testing: 8.041, usercpu_time_millis_training: 121.23,

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