Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 16603 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7203, kappa: 0.0004, kb_relative_information_score: 2917.6468, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.715, predictive_accuracy: 0.8064, prior_entropy: 0.7088, recall: 0.8064, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.44, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7203, kappa: 0.0004, kb_relative_information_score: 2917.6468, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.715, predictive_accuracy: 0.8064, prior_entropy: 0.7088, recall: 0.8064, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.44, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7203, kappa: 0.0004, kb_relative_information_score: 2917.6468, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.715, predictive_accuracy: 0.8064, prior_entropy: 0.7088, recall: 0.8064, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.44, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7203, kappa: 0.0004, kb_relative_information_score: 2917.6468, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.715, predictive_accuracy: 0.8064, prior_entropy: 0.7088, recall: 0.8064, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.44, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, build_cpu_time: 45.3084, build_memory: 1128654703.5061, f_measure: 0.7671, kappa: 0.1743, kb_relative_information_score: 3002.8804, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7704, predictive_accuracy: 0.8102, prior_entropy: 0.7088, recall: 0.8102, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.0571, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7752, kappa: 0.2401, kb_relative_information_score: 1860.5724, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7665, predictive_accuracy: 0.7904, prior_entropy: 0.7088, recall: 0.7904, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0793, scimark_benchmark: 940.2751, usercpu_time_millis: 10820, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 10730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7201, kb_relative_information_score: 14.2413, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.9556, scimark_benchmark: 917.7039, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.7788, kappa: 0.2279, kb_relative_information_score: 657.2833, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7741, predictive_accuracy: 0.8082, prior_entropy: 0.7088, recall: 0.8082, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.9485, scimark_benchmark: 918.4924, usercpu_time_millis: 103200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 103170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.771, kappa: 0.2041, kb_relative_information_score: 806.5753, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.7989, prior_entropy: 0.7088, recall: 0.7989, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4021, root_relative_squared_error: 1.018, scimark_benchmark: 904.3001, usercpu_time_millis: 1110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7201, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135, scimark_benchmark: 933.1776, usercpu_time_millis: 173830, usercpu_time_millis_testing: 12680, usercpu_time_millis_training: 161150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.7738, kappa: 0.2373, kb_relative_information_score: 1683.8084, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7651, predictive_accuracy: 0.7881, prior_entropy: 0.7088, recall: 0.7881, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.0927, scimark_benchmark: 904.0233, usercpu_time_millis: 84520, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 84450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.752, kappa: 0.1138, kb_relative_information_score: 293.7646, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.767, predictive_accuracy: 0.8099, prior_entropy: 0.7088, recall: 0.8099, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9502, scimark_benchmark: 932.3943, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.7818, kappa: 0.2424, kb_relative_information_score: 731.7667, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8079, prior_entropy: 0.7088, recall: 0.8079, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9729, scimark_benchmark: 934.5243, usercpu_time_millis: 1600, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.7236, kappa: 0.012, kb_relative_information_score: 2966.7936, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8009, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.1103, scimark_benchmark: 938.8021, usercpu_time_millis: 1130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.7726, kappa: 0.1996, kb_relative_information_score: 653.53, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7704, predictive_accuracy: 0.8084, prior_entropy: 0.7088, recall: 0.8084, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.9553, scimark_benchmark: 917.7039, usercpu_time_millis: 1810, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.7587, kappa: 0.14, kb_relative_information_score: 354.6341, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7672, predictive_accuracy: 0.8097, prior_entropy: 0.7088, recall: 0.8097, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9447, scimark_benchmark: 943.2817, usercpu_time_millis: 12610, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 12530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7201, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135, scimark_benchmark: 902.4773, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7538, kappa: 0.123, kb_relative_information_score: 125.2052, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7561, predictive_accuracy: 0.8052, prior_entropy: 0.7088, recall: 0.8052, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.9614, scimark_benchmark: 932.3943, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7752, kappa: 0.2401, kb_relative_information_score: 1860.5724, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7665, predictive_accuracy: 0.7904, prior_entropy: 0.7088, recall: 0.7904, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0793, scimark_benchmark: 935.8834, usercpu_time_millis: 10060, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 9990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, build_cpu_time: 11.0219, build_memory: 752445198.9248, f_measure: 0.7655, kappa: 0.1685, kb_relative_information_score: 2972.3469, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7676, predictive_accuracy: 0.8088, prior_entropy: 0.7088, recall: 0.8088, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4193, root_relative_squared_error: 1.0615, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, build_cpu_time: 20.9641, build_memory: 882263089.1605, f_measure: 0.7666, kappa: 0.1709, kb_relative_information_score: 2955.8324, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7728, predictive_accuracy: 0.8117, prior_entropy: 0.7088, recall: 0.8117, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.0387, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, build_cpu_time: 22.3544, build_memory: 76911391.6737, f_measure: 0.7666, kappa: 0.1709, kb_relative_information_score: 2955.8324, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7728, predictive_accuracy: 0.8117, prior_entropy: 0.7088, recall: 0.8117, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.0387, scimark_benchmark: 936.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, build_cpu_time: 100.0548, build_memory: 613453314.9376, f_measure: 0.7664, kappa: 0.1701, kb_relative_information_score: 3020.1317, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7732, predictive_accuracy: 0.8119, prior_entropy: 0.7088, recall: 0.8119, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0413, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, build_cpu_time: 202.6361, build_memory: 291522908.717, f_measure: 0.7689, kappa: 0.18, kb_relative_information_score: 3052.4621, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7749, predictive_accuracy: 0.8125, prior_entropy: 0.7088, recall: 0.8125, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.0548, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, build_cpu_time: 1246.8192, build_memory: 461208926.6815, f_measure: 0.7909, kappa: 0.2676, kb_relative_information_score: 741.6089, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7924, predictive_accuracy: 0.8207, prior_entropy: 0.7088, recall: 0.8207, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9205, scimark_benchmark: 943.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, build_cpu_time: 2529.8961, build_memory: 2165224376.3623, f_measure: 0.789, kappa: 0.2596, kb_relative_information_score: 768.3014, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7914, predictive_accuracy: 0.8203, prior_entropy: 0.7088, recall: 0.8203, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9167, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, build_cpu_time: 29.6848, build_memory: 2055632167.3657, f_measure: 0.7858, kappa: 0.2455, kb_relative_information_score: 932.0582, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7903, predictive_accuracy: 0.8199, prior_entropy: 0.7088, recall: 0.8199, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9207, scimark_benchmark: 922.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, build_cpu_time: 18.0654, build_memory: 1160616289.2899, f_measure: 0.7857, kappa: 0.2478, kb_relative_information_score: 838.7943, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7866, predictive_accuracy: 0.8174, prior_entropy: 0.7088, recall: 0.8174, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.929, scimark_benchmark: 949.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 128.2862, build_memory: 540670692.8419, f_measure: 0.7866, kappa: 0.2465, kb_relative_information_score: 970.9635, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7951, predictive_accuracy: 0.8226, prior_entropy: 0.7088, recall: 0.8226, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9158, scimark_benchmark: 935.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, build_cpu_time: 59.1515, build_memory: 1296691913.6132, f_measure: 0.7846, kappa: 0.24, kb_relative_information_score: 969.5849, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7907, predictive_accuracy: 0.8202, prior_entropy: 0.7088, recall: 0.8202, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9174, scimark_benchmark: 945.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, build_cpu_time: 61.4969, build_memory: 273499696.5762, f_measure: 0.7846, kappa: 0.24, kb_relative_information_score: 969.5849, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7907, predictive_accuracy: 0.8202, prior_entropy: 0.7088, recall: 0.8202, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9174, scimark_benchmark: 946.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, build_cpu_time: 204.454, build_memory: 254400321.758, f_measure: 0.7533, kappa: 0.1174, kb_relative_information_score: 615.517, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7854, predictive_accuracy: 0.8144, prior_entropy: 0.7088, recall: 0.8144, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9565, scimark_benchmark: 935.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 422.0635, build_memory: 95991026.1997, f_measure: 0.7536, kappa: 0.1183, kb_relative_information_score: 626.4368, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8144, prior_entropy: 0.7088, recall: 0.8144, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.956, scimark_benchmark: 945.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7426, kappa: 0.0801, kb_relative_information_score: -161.351, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7439, predictive_accuracy: 0.8028, prior_entropy: 0.7088, recall: 0.8028, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.9575, scimark_benchmark: 943.6956, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.7647, kappa: 0.164, kb_relative_information_score: 467.6461, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7703, predictive_accuracy: 0.8106, prior_entropy: 0.7088, recall: 0.8106, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9443, scimark_benchmark: 911.0478, usercpu_time_millis: 2290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, build_cpu_time: 4941.503, build_memory: 1502393786.2174, f_measure: 0.7927, kappa: 0.2721, kb_relative_information_score: 759.3473, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.797, predictive_accuracy: 0.8237, prior_entropy: 0.7088, recall: 0.8237, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9155, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.7697, kappa: 0.1913, kb_relative_information_score: 642.1303, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7647, predictive_accuracy: 0.8042, prior_entropy: 0.7088, recall: 0.8042, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9956, scimark_benchmark: 934.5243, usercpu_time_millis: 1590, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.77, kappa: 0.1921, kb_relative_information_score: 1658.6478, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7652, predictive_accuracy: 0.8046, prior_entropy: 0.7088, recall: 0.8046, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4133, root_relative_squared_error: 1.0463, scimark_benchmark: 938.2848, usercpu_time_millis: 4020, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 2930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.7697, kappa: 0.1911, kb_relative_information_score: 2809.2548, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7649, predictive_accuracy: 0.8045, prior_entropy: 0.7088, recall: 0.8045, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4401, root_relative_squared_error: 1.1141, scimark_benchmark: 931.2336, usercpu_time_millis: 2260, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 1600,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.7232, kappa: 0.0107, kb_relative_information_score: 2874.4982, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8041, predictive_accuracy: 0.8075, prior_entropy: 0.7088, recall: 0.8075, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.0459, scimark_benchmark: 876.8277, usercpu_time_millis: 4510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7201, kb_relative_information_score: 2825.4301, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0876, scimark_benchmark: 938.9865, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7251, kappa: 0.0171, kb_relative_information_score: 2925.7699, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8298, predictive_accuracy: 0.8085, prior_entropy: 0.7088, recall: 0.8085, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4207, root_relative_squared_error: 1.065, scimark_benchmark: 936.7115, usercpu_time_millis: 10800, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10730,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.7522, kappa: 0.1145, kb_relative_information_score: 295.3315, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7673, predictive_accuracy: 0.81, prior_entropy: 0.7088, recall: 0.81, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9501, scimark_benchmark: 931.2336, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.7276, kappa: 0.2461, kb_relative_information_score: -7454.9562, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7747, predictive_accuracy: 0.7029, prior_entropy: 0.7088, recall: 0.7029, relative_absolute_error: 1.3042, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.1022, scimark_benchmark: 929.566, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7724, kappa: 0.2072, kb_relative_information_score: 2653.0523, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.765, predictive_accuracy: 0.8015, prior_entropy: 0.7088, recall: 0.8015, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4376, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7878, kappa: 0.2555, kb_relative_information_score: 794.2358, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.7206, kappa: 0.0015, kb_relative_information_score: 2928.9884, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8441, predictive_accuracy: 0.8067, prior_entropy: 0.7088, recall: 0.8067, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4397, root_relative_squared_error: 1.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.7289, kappa: 0.0298, kb_relative_information_score: 348.296, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7619, predictive_accuracy: 0.8075, prior_entropy: 0.7088, recall: 0.8075, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7701, kappa: 0.2008, kb_relative_information_score: 769.4716, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7616, predictive_accuracy: 0.7983, prior_entropy: 0.7088, recall: 0.7983, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.0187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.7204, kappa: 0.0008, kb_relative_information_score: 2925.2078, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.844, predictive_accuracy: 0.8066, prior_entropy: 0.7088, recall: 0.8066, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4398, root_relative_squared_error: 1.1132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7232, kappa: 0.239, kb_relative_information_score: -1937.7824, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7729, predictive_accuracy: 0.6975, prior_entropy: 0.7088, recall: 0.6975, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7201, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.7697, kappa: 0.1918, kb_relative_information_score: 2780.5367, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7642, predictive_accuracy: 0.8036, prior_entropy: 0.7088, recall: 0.8036, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4387, root_relative_squared_error: 1.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.7538, kappa: 0.1197, kb_relative_information_score: 574.3677, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7767, predictive_accuracy: 0.8127, prior_entropy: 0.7088, recall: 0.8127, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, f_measure: 0.7533, kappa: 0.139, kb_relative_information_score: -978.0015, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7404, predictive_accuracy: 0.786, prior_entropy: 0.7088, recall: 0.786, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.786, kappa: 0.2522, kb_relative_information_score: 572.6933, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.815, prior_entropy: 0.7088, recall: 0.815, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.936, usercpu_time_millis: 161.066, usercpu_time_millis_testing: 2.298, usercpu_time_millis_training: 158.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7862, kappa: 0.2543, kb_relative_information_score: 587.8591, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7835, predictive_accuracy: 0.8142, prior_entropy: 0.7088, recall: 0.8142, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9343, usercpu_time_millis: 160.337, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 158.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.79, kappa: 0.2661, kb_relative_information_score: 695.1926, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7897, predictive_accuracy: 0.8187, prior_entropy: 0.7088, recall: 0.8187, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9293, usercpu_time_millis: 191.576, usercpu_time_millis_testing: 2.541, usercpu_time_millis_training: 189.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7898, kappa: 0.2656, kb_relative_information_score: 686.7747, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7892, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9295, usercpu_time_millis: 198.979, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 197.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.789, kappa: 0.263, kb_relative_information_score: 586.8758, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7878, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9339, usercpu_time_millis: 162.011, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 159.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7852, kappa: 0.2497, kb_relative_information_score: 550.0766, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.814, prior_entropy: 0.7088, recall: 0.814, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9364, usercpu_time_millis: 143.742, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 141.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7907, kappa: 0.2686, kb_relative_information_score: 700.1345, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7906, predictive_accuracy: 0.8192, prior_entropy: 0.7088, recall: 0.8192, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291, usercpu_time_millis: 175.577, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 173.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7867, kappa: 0.254, kb_relative_information_score: 571.7501, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7855, predictive_accuracy: 0.8161, prior_entropy: 0.7088, recall: 0.8161, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9352, usercpu_time_millis: 188.996, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 186.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7885, kappa: 0.263, kb_relative_information_score: 575.5044, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.786, predictive_accuracy: 0.8156, prior_entropy: 0.7088, recall: 0.8156, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9354, usercpu_time_millis: 149.706, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 147.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7853, kappa: 0.2519, kb_relative_information_score: 486.8071, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7819, predictive_accuracy: 0.813, prior_entropy: 0.7088, recall: 0.813, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9397, usercpu_time_millis: 161.636, usercpu_time_millis_testing: 3.163, usercpu_time_millis_training: 158.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7882, kappa: 0.26, kb_relative_information_score: 691.6185, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8168, prior_entropy: 0.7088, recall: 0.8168, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291, usercpu_time_millis: 189.477, usercpu_time_millis_testing: 3.114, usercpu_time_millis_training: 186.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7875, kappa: 0.257, kb_relative_information_score: 696.2498, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7864, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9292, usercpu_time_millis: 195.053, usercpu_time_millis_testing: 3.14, usercpu_time_millis_training: 191.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7894, kappa: 0.2633, kb_relative_information_score: 701.4921, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7892, predictive_accuracy: 0.8185, prior_entropy: 0.7088, recall: 0.8185, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9286, usercpu_time_millis: 196.897, usercpu_time_millis_testing: 3.079, usercpu_time_millis_training: 193.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7865, kappa: 0.2551, kb_relative_information_score: 511.2076, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.784, predictive_accuracy: 0.8146, prior_entropy: 0.7088, recall: 0.8146, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9388, usercpu_time_millis: 183.534, usercpu_time_millis_testing: 3.158, usercpu_time_millis_training: 180.376,

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