Task
Supervised Classification on BNG(tic-tac-toe)

Supervised Classification on BNG(tic-tac-toe)

Task 206 Supervised Classification BNG(tic-tac-toe) 348 runs submitted
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  • mythbusting_1 study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.79, kappa: 0.5311, kb_relative_information_score: 15491.1099, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7896, predictive_accuracy: 0.7935, prior_entropy: 0.9315, recall: 0.7935, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 941.6675, usercpu_time_millis: 2820, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7966, kappa: 0.5463, kb_relative_information_score: 16670.6681, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7962, predictive_accuracy: 0.7996, prior_entropy: 0.9315, recall: 0.7996, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7892, scimark_benchmark: 927.2917, usercpu_time_millis: 6410, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 6300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.783, kappa: 0.5172, kb_relative_information_score: 16473.9828, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7821, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8265, scimark_benchmark: 931.771, usercpu_time_millis: 9030, usercpu_time_millis_testing: 2620, usercpu_time_millis_training: 6410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7856, kappa: 0.5182, kb_relative_information_score: 20546.6434, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9579, scimark_benchmark: 937.5117, usercpu_time_millis: 421520, usercpu_time_millis_testing: 160840, usercpu_time_millis_training: 260680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7083, kappa: 0.3446, kb_relative_information_score: 8301.5649, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7071, predictive_accuracy: 0.7169, prior_entropy: 0.9315, recall: 0.7169, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9119, scimark_benchmark: 932.438, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 974.2014, usercpu_time_millis: 240, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7966, kappa: 0.5463, kb_relative_information_score: 16670.6681, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7962, predictive_accuracy: 0.7996, prior_entropy: 0.9315, recall: 0.7996, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7892, scimark_benchmark: 937.5117, usercpu_time_millis: 6510, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 6390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.783, kappa: 0.5172, kb_relative_information_score: 16473.9828, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7821, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8265, scimark_benchmark: 943.1009, usercpu_time_millis: 8440, usercpu_time_millis_testing: 2210, usercpu_time_millis_training: 6230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7812, kappa: 0.5106, kb_relative_information_score: 14258.9991, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7811, predictive_accuracy: 0.7854, prior_entropy: 0.9315, recall: 0.7854, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8374, scimark_benchmark: 819.5729, usercpu_time_millis: 510, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7193, kappa: 0.3683, kb_relative_information_score: 3682.5718, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7197, predictive_accuracy: 0.7292, prior_entropy: 0.9315, recall: 0.7292, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9199, scimark_benchmark: 935.2002, usercpu_time_millis: 1050, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.715, kappa: 0.357, kb_relative_information_score: 8170.1518, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7179, predictive_accuracy: 0.728, prior_entropy: 0.9315, recall: 0.728, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.892, scimark_benchmark: 936.2574, usercpu_time_millis: 19330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 19290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 933.3455, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 903.2737, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.79, kappa: 0.5311, kb_relative_information_score: 15491.1099, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7896, predictive_accuracy: 0.7935, prior_entropy: 0.9315, recall: 0.7935, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 941.4991, usercpu_time_millis: 2560, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 945.6228, usercpu_time_millis: 160, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7966, kappa: 0.5463, kb_relative_information_score: 16670.6681, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7962, predictive_accuracy: 0.7996, prior_entropy: 0.9315, recall: 0.7996, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7892, scimark_benchmark: 935.5664, usercpu_time_millis: 6570, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 6460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.783, kappa: 0.5172, kb_relative_information_score: 16473.9828, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7821, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8265, scimark_benchmark: 901.4991, usercpu_time_millis: 9480, usercpu_time_millis_testing: 2750, usercpu_time_millis_training: 6730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7987, kappa: 0.5494, kb_relative_information_score: 15516.0628, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7994, predictive_accuracy: 0.803, prior_entropy: 0.9315, recall: 0.803, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.778, scimark_benchmark: 972.587, usercpu_time_millis: 2890420, usercpu_time_millis_testing: 233880, usercpu_time_millis_training: 2656540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7989, kappa: 0.5497, kb_relative_information_score: 15514.9092, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7996, predictive_accuracy: 0.8032, prior_entropy: 0.9315, recall: 0.8032, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7782, scimark_benchmark: 903.2737, usercpu_time_millis: 912910, usercpu_time_millis_testing: 26600, usercpu_time_millis_training: 886310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7993, kappa: 0.5505, kb_relative_information_score: 15516.8424, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7999, predictive_accuracy: 0.8035, prior_entropy: 0.9315, recall: 0.8035, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7788, scimark_benchmark: 920.5394, usercpu_time_millis: 458320, usercpu_time_millis_testing: 12660, usercpu_time_millis_training: 445660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7989, kappa: 0.5497, kb_relative_information_score: 15542.5807, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7995, predictive_accuracy: 0.8031, prior_entropy: 0.9315, recall: 0.8031, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7796, scimark_benchmark: 942.5233, usercpu_time_millis: 193640, usercpu_time_millis_testing: 6060, usercpu_time_millis_training: 187580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7971, kappa: 0.5459, kb_relative_information_score: 15473.3811, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7974, predictive_accuracy: 0.801, prior_entropy: 0.9315, recall: 0.801, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7822, scimark_benchmark: 936.7184, usercpu_time_millis: 137580, usercpu_time_millis_testing: 3120, usercpu_time_millis_training: 134460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 7619.7622, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9055, scimark_benchmark: 929.0296, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 7619.7622, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9055, scimark_benchmark: 926.5859, usercpu_time_millis: 350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 7619.7622, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9055, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 7619.7622, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9055, scimark_benchmark: 926.5859, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 7619.7622, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9055, scimark_benchmark: 929.0296, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.708, kappa: 0.3411, kb_relative_information_score: 8297.6311, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7107, predictive_accuracy: 0.7217, prior_entropy: 0.9315, recall: 0.7217, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9059, scimark_benchmark: 936.1714, usercpu_time_millis: 540, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7174, kappa: 0.3668, kb_relative_information_score: 13595.9792, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7158, predictive_accuracy: 0.7238, prior_entropy: 0.9315, recall: 0.7238, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9961, scimark_benchmark: 936.1714, usercpu_time_millis: 6680, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 6390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7154, kappa: 0.3607, kb_relative_information_score: 13671.39, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7146, predictive_accuracy: 0.7238, prior_entropy: 0.9315, recall: 0.7238, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9939, scimark_benchmark: 936.1714, usercpu_time_millis: 3360, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 3200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7121, kappa: 0.3552, kb_relative_information_score: 13526.7893, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7102, predictive_accuracy: 0.7183, prior_entropy: 0.9315, recall: 0.7183, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0007, scimark_benchmark: 940.0055, usercpu_time_millis: 1560, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7111, kappa: 0.3506, kb_relative_information_score: 13363.838, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7103, predictive_accuracy: 0.7201, prior_entropy: 0.9315, recall: 0.7201, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0041, scimark_benchmark: 938.3115, usercpu_time_millis: 760, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7019, kappa: 0.3435, kb_relative_information_score: 12115.3758, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7024, predictive_accuracy: 0.7015, prior_entropy: 0.9315, recall: 0.7015, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.049, scimark_benchmark: 935.6052, usercpu_time_millis: 470, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 430,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7812, kappa: 0.5106, kb_relative_information_score: 14258.9991, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7811, predictive_accuracy: 0.7854, prior_entropy: 0.9315, recall: 0.7854, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8374, scimark_benchmark: 926.5859, usercpu_time_millis: 600, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7083, kappa: 0.3446, kb_relative_information_score: 8301.5649, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7071, predictive_accuracy: 0.7169, prior_entropy: 0.9315, recall: 0.7169, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9119, scimark_benchmark: 1346.2927, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1325.8468, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 930.5999, usercpu_time_millis: 160, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.783, kappa: 0.5172, kb_relative_information_score: 16473.9828, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7821, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8265, scimark_benchmark: 1317.5857, usercpu_time_millis: 12410, usercpu_time_millis_testing: 4270, usercpu_time_millis_training: 8140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7812, kappa: 0.5106, kb_relative_information_score: 14258.9991, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7811, predictive_accuracy: 0.7854, prior_entropy: 0.9315, recall: 0.7854, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8374, scimark_benchmark: 1331.4379, usercpu_time_millis: 350, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7856, kappa: 0.5182, kb_relative_information_score: 20546.6434, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9579, scimark_benchmark: 1309.0674, usercpu_time_millis: 477400, usercpu_time_millis_testing: 190070, usercpu_time_millis_training: 287330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7083, kappa: 0.3446, kb_relative_information_score: 8301.5649, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7071, predictive_accuracy: 0.7169, prior_entropy: 0.9315, recall: 0.7169, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9119, scimark_benchmark: 1349.1517, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1317.5857, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1324.6442, usercpu_time_millis: 140, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7812, kappa: 0.5106, kb_relative_information_score: 14258.9991, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7811, predictive_accuracy: 0.7854, prior_entropy: 0.9315, recall: 0.7854, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8374, scimark_benchmark: 1333.6736, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7856, kappa: 0.5182, kb_relative_information_score: 20546.6434, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9579, scimark_benchmark: 1333.6736, usercpu_time_millis: 627330, usercpu_time_millis_testing: 190020, usercpu_time_millis_training: 437310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7083, kappa: 0.3446, kb_relative_information_score: 8301.5649, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7071, predictive_accuracy: 0.7169, prior_entropy: 0.9315, recall: 0.7169, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9119, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1342.8584, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1310.6554, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7193, kappa: 0.3683, kb_relative_information_score: 3682.5718, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7197, predictive_accuracy: 0.7292, prior_entropy: 0.9315, recall: 0.7292, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9199, scimark_benchmark: 1346.1568, usercpu_time_millis: 600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7856, kappa: 0.5182, kb_relative_information_score: 20546.6434, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9579, scimark_benchmark: 1337.3324, usercpu_time_millis: 462400, usercpu_time_millis_testing: 183980, usercpu_time_millis_training: 278420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7856, kappa: 0.5182, kb_relative_information_score: 20546.6434, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9579, scimark_benchmark: 1323.5075, usercpu_time_millis: 512450, usercpu_time_millis_testing: 169790, usercpu_time_millis_training: 342660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7083, kappa: 0.3446, kb_relative_information_score: 8301.5649, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7071, predictive_accuracy: 0.7169, prior_entropy: 0.9315, recall: 0.7169, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9119, scimark_benchmark: 1325.4787, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1331.1314, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1317.6232, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7966, kappa: 0.5463, kb_relative_information_score: 16670.6681, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7962, predictive_accuracy: 0.7996, prior_entropy: 0.9315, recall: 0.7996, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7892, scimark_benchmark: 1340.9749, usercpu_time_millis: 7750, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 7530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.783, kappa: 0.5172, kb_relative_information_score: 16473.9828, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7821, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8265, scimark_benchmark: 1310.6554, usercpu_time_millis: 7800, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 5350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.7151, kappa: 0.3576, kb_relative_information_score: 14651.4615, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7168, predictive_accuracy: 0.7269, prior_entropy: 0.9315, recall: 0.7269, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0977, scimark_benchmark: 1310.6554, usercpu_time_millis: 1670, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.715, kappa: 0.357, kb_relative_information_score: 8170.1518, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7179, predictive_accuracy: 0.728, prior_entropy: 0.9315, recall: 0.728, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.892, scimark_benchmark: 1313.8988, usercpu_time_millis: 7240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1335.2021, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1366.2491, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.79, kappa: 0.5311, kb_relative_information_score: 15491.1099, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7896, predictive_accuracy: 0.7935, prior_entropy: 0.9315, recall: 0.7935, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 1318.6096, usercpu_time_millis: 1520, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7346, kappa: 0.4026, kb_relative_information_score: 9921.8126, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7359, predictive_accuracy: 0.7439, prior_entropy: 0.9315, recall: 0.7439, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1365.0842, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7966, kappa: 0.5463, kb_relative_information_score: 16670.6681, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7962, predictive_accuracy: 0.7996, prior_entropy: 0.9315, recall: 0.7996, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7892, scimark_benchmark: 1349.1517, usercpu_time_millis: 7450, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 7220,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs