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

Supervised Classification on BNG(tic-tac-toe)

Task 322 Supervised Classification BNG(tic-tac-toe) 238 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1325.8773, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7823, kappa: 0.5158, kb_relative_information_score: 5375.2058, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7813, predictive_accuracy: 0.7843, prior_entropy: 0.9315, recall: 0.7843, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8266, scimark_benchmark: 1351.1238, usercpu_time_millis: 7890, usercpu_time_millis_testing: 2960, usercpu_time_millis_training: 4930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7614, kappa: 0.4633, kb_relative_information_score: 3870.7072, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7637, predictive_accuracy: 0.7694, prior_entropy: 0.9315, recall: 0.7694, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8352, scimark_benchmark: 1278.9821, usercpu_time_millis: 290, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 1334.1324, usercpu_time_millis: 290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 1331.7953, usercpu_time_millis: 581100, usercpu_time_millis_testing: 281760, usercpu_time_millis_training: 299340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 1354.3488, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1354.3488, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7823, kappa: 0.5158, kb_relative_information_score: 5375.2058, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7813, predictive_accuracy: 0.7843, prior_entropy: 0.9315, recall: 0.7843, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8266, scimark_benchmark: 1326.8946, usercpu_time_millis: 10860, usercpu_time_millis_testing: 2660, usercpu_time_millis_training: 8200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 932.5646, usercpu_time_millis: 405620, usercpu_time_millis_testing: 172550, usercpu_time_millis_training: 233070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 932.5646, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7224, kappa: 0.3775, kb_relative_information_score: 1183.7917, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7211, predictive_accuracy: 0.7291, prior_entropy: 0.9315, recall: 0.7291, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9203, scimark_benchmark: 1350.2369, usercpu_time_millis: 1030, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 938.0414, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 918.0213, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 918.0213, usercpu_time_millis: 170, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1288.1375, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7917, kappa: 0.5337, kb_relative_information_score: 5024.2098, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7921, predictive_accuracy: 0.796, prior_entropy: 0.9315, recall: 0.796, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 918.0213, usercpu_time_millis: 3680, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8012, kappa: 0.5561, kb_relative_information_score: 5472.2081, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.8009, predictive_accuracy: 0.8042, prior_entropy: 0.9315, recall: 0.8042, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7833, scimark_benchmark: 1328.1857, usercpu_time_millis: 7920, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 7680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 1347.993, usercpu_time_millis: 436940, usercpu_time_millis_testing: 163070, usercpu_time_millis_training: 273870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 1335.2029, usercpu_time_millis: 370, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 933.1165, usercpu_time_millis: 250, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1360.6585, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 926.6704, usercpu_time_millis: 170, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1350.073, usercpu_time_millis: 130, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 1335.643, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1312.0581, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7917, kappa: 0.5337, kb_relative_information_score: 5024.2098, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7921, predictive_accuracy: 0.796, prior_entropy: 0.9315, recall: 0.796, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 1312.0581, usercpu_time_millis: 2140, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 1345.7204, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7224, kappa: 0.3775, kb_relative_information_score: 1183.7917, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7211, predictive_accuracy: 0.7291, prior_entropy: 0.9315, recall: 0.7291, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9203, scimark_benchmark: 1064.8317, usercpu_time_millis: 870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 1151.6869, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7918, kappa: 0.5314, kb_relative_information_score: 4336.0374, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7962, predictive_accuracy: 0.799, prior_entropy: 0.9315, recall: 0.799, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7948, scimark_benchmark: 1323.4648, usercpu_time_millis: 2753550, usercpu_time_millis_testing: 2753550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7224, kappa: 0.3775, kb_relative_information_score: 1183.7917, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7211, predictive_accuracy: 0.7291, prior_entropy: 0.9315, recall: 0.7291, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9203, scimark_benchmark: 1328.941, usercpu_time_millis: 770, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7224, kappa: 0.3775, kb_relative_information_score: 1183.7917, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7211, predictive_accuracy: 0.7291, prior_entropy: 0.9315, recall: 0.7291, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9203, scimark_benchmark: 1320.9026, usercpu_time_millis: 2150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 922.1419, usercpu_time_millis: 460, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 390,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7191, kappa: 0.3671, kb_relative_information_score: 2685.0461, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7203, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8925, scimark_benchmark: 1338.01, usercpu_time_millis: 10890, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.7184, kappa: 0.3652, kb_relative_information_score: 2669.816, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7204, predictive_accuracy: 0.7301, prior_entropy: 0.9315, recall: 0.7301, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8974, scimark_benchmark: 1341.7207, usercpu_time_millis: 800, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.7188, kappa: 0.3662, kb_relative_information_score: 2688.031, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7208, predictive_accuracy: 0.7305, prior_entropy: 0.9315, recall: 0.7305, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8974, scimark_benchmark: 1308.3503, usercpu_time_millis: 510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7917, kappa: 0.5337, kb_relative_information_score: 5024.2098, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7921, predictive_accuracy: 0.796, prior_entropy: 0.9315, recall: 0.796, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 1328.4045, usercpu_time_millis: 1640, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.66, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 1332.4146, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7428, kappa: 0.4315, kb_relative_information_score: 5324.473, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7424, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0642, scimark_benchmark: 918.0213, usercpu_time_millis: 484100, usercpu_time_millis_testing: 484090, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.6917, kappa: 0.3445, kb_relative_information_score: -1600.233, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7082, predictive_accuracy: 0.6855, prior_entropy: 0.9315, recall: 0.6855, relative_absolute_error: 1.0686, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0196, scimark_benchmark: 1321.6263, usercpu_time_millis: 120, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5158, kb_relative_information_score: 0.0219, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.4263, predictive_accuracy: 0.6529, prior_entropy: 0.9315, recall: 0.6529, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4761, root_relative_squared_error: 1, scimark_benchmark: 916.6405, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1789, kb_relative_information_score: -2245.302, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.1205, predictive_accuracy: 0.3471, prior_entropy: 0.9315, recall: 0.3471, relative_absolute_error: 1.1031, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0503, scimark_benchmark: 916.6405, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.7029, kappa: 0.3456, kb_relative_information_score: 1699.2831, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7034, predictive_accuracy: 0.7025, prior_entropy: 0.9315, recall: 0.7025, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9384, scimark_benchmark: 906.4475, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7234, kappa: 0.3767, kb_relative_information_score: 2931.0437, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7252, predictive_accuracy: 0.7344, prior_entropy: 0.9315, recall: 0.7344, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.428, root_relative_squared_error: 0.899, scimark_benchmark: 1299.5783, usercpu_time_millis: 220, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7633, kappa: 0.486, kb_relative_information_score: 5241.9269, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7688, predictive_accuracy: 0.7604, prior_entropy: 0.9315, recall: 0.7604, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9382, scimark_benchmark: 1304.9611, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7224, kappa: 0.3775, kb_relative_information_score: 1183.7917, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7211, predictive_accuracy: 0.7291, prior_entropy: 0.9315, recall: 0.7291, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9203, scimark_benchmark: 885.0921, usercpu_time_millis: 1980, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7276, kappa: 0.3922, kb_relative_information_score: 4917.7474, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7259, predictive_accuracy: 0.7316, prior_entropy: 0.9315, recall: 0.7316, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0382, scimark_benchmark: 935.5075, usercpu_time_millis: 135760, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 135520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7326, kappa: 0.3977, kb_relative_information_score: 2398.9245, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7757, predictive_accuracy: 0.7607, prior_entropy: 0.9315, recall: 0.7607, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8758, scimark_benchmark: 860.584, usercpu_time_millis: 2770, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7151, kappa: 0.3603, kb_relative_information_score: 2288.7349, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7675, predictive_accuracy: 0.7492, prior_entropy: 0.9315, recall: 0.7492, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8814, scimark_benchmark: 1320.2556, usercpu_time_millis: 860, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.7182, kappa: 0.3648, kb_relative_information_score: 2669.2647, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7201, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8974, scimark_benchmark: 930.5999, usercpu_time_millis: 5160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7166, kappa: 0.3612, kb_relative_information_score: 2658.5773, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7182, predictive_accuracy: 0.7282, prior_entropy: 0.9315, recall: 0.7282, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8985, scimark_benchmark: 1404.1865, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7944, kappa: 0.5406, kb_relative_information_score: 5047.9977, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7941, predictive_accuracy: 0.7978, prior_entropy: 0.9315, recall: 0.7978, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7843, scimark_benchmark: 1321.3021, usercpu_time_millis: 49340, usercpu_time_millis_testing: 6550, usercpu_time_millis_training: 42790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7091, kappa: 0.3437, kb_relative_information_score: 2228.7794, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7115, predictive_accuracy: 0.7223, prior_entropy: 0.9315, recall: 0.7223, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9214, scimark_benchmark: 939.9176, usercpu_time_millis: 350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7167, kappa: 0.3614, kb_relative_information_score: 2672.1952, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7186, predictive_accuracy: 0.7285, prior_entropy: 0.9315, recall: 0.7285, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8975, scimark_benchmark: 918.6005, usercpu_time_millis: 5250, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 5040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7167, kappa: 0.3614, kb_relative_information_score: 2672.1897, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7186, predictive_accuracy: 0.7285, prior_entropy: 0.9315, recall: 0.7285, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8975, scimark_benchmark: 942.6843, usercpu_time_millis: 3240, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.717, kappa: 0.3621, kb_relative_information_score: 2673.2223, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7188, predictive_accuracy: 0.7287, prior_entropy: 0.9315, recall: 0.7287, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8975, scimark_benchmark: 909.1698, usercpu_time_millis: 2030, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7192, kappa: 0.3672, kb_relative_information_score: 2672.9095, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7212, predictive_accuracy: 0.7308, prior_entropy: 0.9315, recall: 0.7308, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8973, scimark_benchmark: 943.1756, usercpu_time_millis: 1780, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7158, kappa: 0.3598, kb_relative_information_score: 2702.5061, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7171, predictive_accuracy: 0.727, prior_entropy: 0.9315, recall: 0.727, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9001, scimark_benchmark: 1333.5799, usercpu_time_millis: 620, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7942, kappa: 0.5406, kb_relative_information_score: 5000.2015, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7939, predictive_accuracy: 0.7975, prior_entropy: 0.9315, recall: 0.7975, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.377, root_relative_squared_error: 0.792, scimark_benchmark: 1304.6687, usercpu_time_millis: 252590, usercpu_time_millis_testing: 252570, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7924, kappa: 0.5385, kb_relative_information_score: 5185.2457, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7916, predictive_accuracy: 0.7943, prior_entropy: 0.9315, recall: 0.7943, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.383, root_relative_squared_error: 0.8045, scimark_benchmark: 1324.8395, usercpu_time_millis: 100780, usercpu_time_millis_testing: 100780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6602, kappa: 0.2391, kb_relative_information_score: 3052.8507, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.6567, predictive_accuracy: 0.6673, prior_entropy: 0.9315, recall: 0.6673, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5768, root_relative_squared_error: 1.2117, scimark_benchmark: 1363.454, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.7029, kappa: 0.3456, kb_relative_information_score: 4103.591, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7034, predictive_accuracy: 0.7025, prior_entropy: 0.9315, recall: 0.7025, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.1458, scimark_benchmark: 916.5955, usercpu_time_millis: 6260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7273, kappa: 0.3907, kb_relative_information_score: 4984.1895, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7256, predictive_accuracy: 0.7319, prior_entropy: 0.9315, recall: 0.7319, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0876, scimark_benchmark: 1318.5526, usercpu_time_millis: 5556070, usercpu_time_millis_testing: 546920, usercpu_time_millis_training: 5009150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.7029, kappa: 0.3456, kb_relative_information_score: 4103.591, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7034, predictive_accuracy: 0.7025, prior_entropy: 0.9315, recall: 0.7025, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.1458, scimark_benchmark: 916.5955, usercpu_time_millis: 1203250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1203150,

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