Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 279 Supervised Classification tic-tac-toe 389 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.847, kappa: 0.6852, kb_relative_information_score: 128.9794, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8613, predictive_accuracy: 0.8449, prior_entropy: 0.9312, recall: 0.8449, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7321, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.844, kappa: 0.6831, kb_relative_information_score: 143.0368, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.868, predictive_accuracy: 0.8418, prior_entropy: 0.9312, recall: 0.8418, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7087, scimark_benchmark: 851.2074, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 916.0735, usercpu_time_millis: 310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 941.6675, usercpu_time_millis: 290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8782, kappa: 0.7387, kb_relative_information_score: 166.1994, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8966, predictive_accuracy: 0.8829, prior_entropy: 0.9312, recall: 0.8829, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6498, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7678, kappa: 0.5019, kb_relative_information_score: 145.4828, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8514, scimark_benchmark: 927.2917, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 931.771, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 937.5117, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7678, kappa: 0.5019, kb_relative_information_score: 145.4828, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8514, scimark_benchmark: 938.5498, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 943.1009, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.847, kappa: 0.6852, kb_relative_information_score: 128.9794, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8613, predictive_accuracy: 0.8449, prior_entropy: 0.9312, recall: 0.8449, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7321, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.844, kappa: 0.6831, kb_relative_information_score: 143.0368, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.868, predictive_accuracy: 0.8418, prior_entropy: 0.9312, recall: 0.8418, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7087, scimark_benchmark: 936.2574, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 927.2882, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8782, kappa: 0.7387, kb_relative_information_score: 166.1994, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8966, predictive_accuracy: 0.8829, prior_entropy: 0.9312, recall: 0.8829, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6498, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9841, kappa: 0.9664, kb_relative_information_score: 264.4636, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9843, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3348, scimark_benchmark: 730.6551, usercpu_time_millis: 27690, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 27460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 901.4991, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9745, kappa: 0.9457, kb_relative_information_score: 228.5273, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9757, predictive_accuracy: 0.9747, prior_entropy: 0.9312, recall: 0.9747, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4375, scimark_benchmark: 763.3895, usercpu_time_millis: 11100, usercpu_time_millis_testing: 3480, usercpu_time_millis_training: 7620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9841, kappa: 0.9663, kb_relative_information_score: 231.7565, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9846, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.429, scimark_benchmark: 859.5223, usercpu_time_millis: 3710, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9746, kappa: 0.9459, kb_relative_information_score: 230.3874, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9752, predictive_accuracy: 0.9747, prior_entropy: 0.9312, recall: 0.9747, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4363, scimark_benchmark: 935.0213, usercpu_time_millis: 1890, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9553, kappa: 0.9048, kb_relative_information_score: 220.023, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.957, predictive_accuracy: 0.9557, prior_entropy: 0.9312, recall: 0.9557, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4771, scimark_benchmark: 911.2316, usercpu_time_millis: 980, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9809, kappa: 0.9596, kb_relative_information_score: 235.4904, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 0.9312, recall: 0.981, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4334, scimark_benchmark: 894.7131, usercpu_time_millis: 550, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7488, kappa: 0.4687, kb_relative_information_score: 99.3895, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8233, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8311, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7488, kappa: 0.4687, kb_relative_information_score: 99.3895, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8233, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8311, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7488, kappa: 0.4687, kb_relative_information_score: 99.3895, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8233, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8311, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7488, kappa: 0.4687, kb_relative_information_score: 99.3895, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8233, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8311, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 1331.2559, usercpu_time_millis: 310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8782, kappa: 0.7387, kb_relative_information_score: 166.1994, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8966, predictive_accuracy: 0.8829, prior_entropy: 0.9312, recall: 0.8829, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6498, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 1296.8947, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 1342.8584, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9841, kappa: 0.9664, kb_relative_information_score: 264.4636, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9843, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3348, scimark_benchmark: 1322.3407, usercpu_time_millis: 26610, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 26420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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