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: 0.8595, build_cpu_time: 8.9325, build_memory: 1165538322.0131, f_measure: 0.7922, kappa: 0.535, kb_relative_information_score: 15436.8623, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7923, predictive_accuracy: 0.7962, prior_entropy: 0.9315, recall: 0.7962, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.377, root_relative_squared_error: 0.792, scimark_benchmark: 924.9972,
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: 1314.7093, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, 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,
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: 1335.2357, usercpu_time_millis: 7430, usercpu_time_millis_testing: 210, 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: 1336.4564, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, 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: 1323.4116, usercpu_time_millis: 1430, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1390,
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: 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: 0.7877, 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: 0.8407, 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: 1260.1387, usercpu_time_millis: 11250, usercpu_time_millis_testing: 2950, usercpu_time_millis_training: 8300,
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: 938.0414, usercpu_time_millis: 433370, usercpu_time_millis_testing: 163980, usercpu_time_millis_training: 269390,
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: 0.7467, 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: 0.8592, 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: 1313.8988, usercpu_time_millis: 1770, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1630,
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: 1349.1517, usercpu_time_millis: 475040, usercpu_time_millis_testing: 152750, usercpu_time_millis_training: 322290,
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: 1324.9519, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
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: 1312.8274, usercpu_time_millis: 2920, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2870,
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: 1342.9746, usercpu_time_millis: 744070, usercpu_time_millis_testing: 343930, usercpu_time_millis_training: 400140,
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: 1313.8988, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
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: 929.0363, usercpu_time_millis: 428370, usercpu_time_millis_testing: 168570, usercpu_time_millis_training: 259800,
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: 1331.7953, usercpu_time_millis: 130, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, 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: 1393.8432, usercpu_time_millis: 9190, usercpu_time_millis_testing: 3860, usercpu_time_millis_training: 5330,
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: 1349.1517, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, 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: 0.7467, 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: 1333.202, usercpu_time_millis: 548440, usercpu_time_millis_testing: 165540, usercpu_time_millis_training: 382900,
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: 1338.5214, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, 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: 0.7671, 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: 0.7877, 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: 1353.0836, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, 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: 1353.0836, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.7019, kappa: 0.3435, kb_relative_information_score: 12345.351, mean_absolute_error: 0.2985, 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: 0.6587, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1477, usercpu_time_millis: 2.169, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 1.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7778, kappa: 0.5062, kb_relative_information_score: 19417.7298, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7768, predictive_accuracy: 0.7796, prior_entropy: 0.9315, recall: 0.7796, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9862, usercpu_time_millis: 342.817, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 340.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.728, kappa: 0.3878, kb_relative_information_score: 15605.6349, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7289, predictive_accuracy: 0.7375, prior_entropy: 0.9315, recall: 0.7375, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0763, usercpu_time_millis: 172.477, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 171.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.717, kappa: 0.3619, kb_relative_information_score: 14835.3986, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7191, predictive_accuracy: 0.729, prior_entropy: 0.9315, recall: 0.729, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0936, usercpu_time_millis: 6.915, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 6.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7605, kappa: 0.4601, kb_relative_information_score: 18578.5171, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7653, predictive_accuracy: 0.7703, prior_entropy: 0.9315, recall: 0.7703, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0067, usercpu_time_millis: 270.924, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 270.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7977, kappa: 0.5468, kb_relative_information_score: 21468.6277, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7987, predictive_accuracy: 0.8023, prior_entropy: 0.9315, recall: 0.8023, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9341, usercpu_time_millis: 648.711, usercpu_time_millis_testing: 15.612, usercpu_time_millis_training: 633.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7781, kappa: 0.5068, kb_relative_information_score: 19445.3204, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7771, predictive_accuracy: 0.7799, prior_entropy: 0.9315, recall: 0.7799, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9855, usercpu_time_millis: 5.162, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 4.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.7577, kappa: 0.4532, kb_relative_information_score: 18475.0525, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7649, predictive_accuracy: 0.7692, prior_entropy: 0.9315, recall: 0.7692, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0092, usercpu_time_millis: 391.946, usercpu_time_millis_testing: 5.881, usercpu_time_millis_training: 386.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7991, kappa: 0.549, kb_relative_information_score: 21668.6592, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.8012, predictive_accuracy: 0.8045, prior_entropy: 0.9315, recall: 0.8045, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9289, usercpu_time_millis: 356.559, usercpu_time_millis_testing: 2.234, usercpu_time_millis_training: 354.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5158, kb_relative_information_score: 7949.256, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.4263, predictive_accuracy: 0.6529, prior_entropy: 0.9315, recall: 0.6529, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.2376, usercpu_time_millis: 14.676, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 14.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.7932, kappa: 0.5399, kb_relative_information_score: 20843.2418, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7924, predictive_accuracy: 0.7954, prior_entropy: 0.9315, recall: 0.7954, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9503, usercpu_time_millis: 59.839, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 58.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.717, kappa: 0.3619, kb_relative_information_score: 14835.3986, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7191, predictive_accuracy: 0.729, prior_entropy: 0.9315, recall: 0.729, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0936, usercpu_time_millis: 40.618, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 39.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7949, kappa: 0.5405, kb_relative_information_score: 21213.4151, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7957, predictive_accuracy: 0.7994, prior_entropy: 0.9315, recall: 0.7994, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9407, usercpu_time_millis: 169.318, usercpu_time_millis_testing: 3.678, usercpu_time_millis_training: 165.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.7956, kappa: 0.5427, kb_relative_information_score: 21234.108, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7959, predictive_accuracy: 0.7997, prior_entropy: 0.9315, recall: 0.7997, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9402, usercpu_time_millis: 329.497, usercpu_time_millis_testing: 10.968, usercpu_time_millis_training: 318.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.7899, kappa: 0.5276, kb_relative_information_score: 20969.6985, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7934, predictive_accuracy: 0.7968, prior_entropy: 0.9315, recall: 0.7968, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.947, usercpu_time_millis: 2173.072, usercpu_time_millis_testing: 65.879, usercpu_time_millis_training: 2107.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.7114, kappa: 0.3491, kb_relative_information_score: 14377.8552, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7134, predictive_accuracy: 0.7239, prior_entropy: 0.9315, recall: 0.7239, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.1037, usercpu_time_millis: 24.811, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 24.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7797, kappa: 0.5147, kb_relative_information_score: 19399.3361, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7801, predictive_accuracy: 0.7794, prior_entropy: 0.9315, recall: 0.7794, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9866, usercpu_time_millis: 1710.254, usercpu_time_millis_testing: 89.257, usercpu_time_millis_training: 1620.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.8052, kappa: 0.5635, kb_relative_information_score: 22135.3995, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.8064, predictive_accuracy: 0.8096, prior_entropy: 0.9315, recall: 0.8096, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9165, usercpu_time_millis: 1145.84, usercpu_time_millis_testing: 52.858, usercpu_time_millis_training: 1092.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.7198, kappa: 0.3672, kb_relative_information_score: 15327.4301, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7254, predictive_accuracy: 0.7344, prior_entropy: 0.9315, recall: 0.7344, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0826, usercpu_time_millis: 2.261, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7874, kappa: 0.5268, kb_relative_information_score: 20325.9189, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7865, predictive_accuracy: 0.7896, prior_entropy: 0.9315, recall: 0.7896, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9635, usercpu_time_millis: 12001.806, usercpu_time_millis_testing: 3431.575, usercpu_time_millis_training: 8570.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.727, kappa: 0.3839, kb_relative_information_score: 15858.5483, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.732, predictive_accuracy: 0.7403, prior_entropy: 0.9315, recall: 0.7403, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0705, usercpu_time_millis: 7203.258, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 7202.7,
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: 0.7669, 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: 851.2074, usercpu_time_millis: 17530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 17500,
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: 972.587, usercpu_time_millis: 600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7913, kappa: 0.5343, kb_relative_information_score: 15419.2969, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7908, predictive_accuracy: 0.7944, prior_entropy: 0.9315, recall: 0.7944, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7947, scimark_benchmark: 1873.1108, usercpu_time_millis: 74828.125, usercpu_time_millis_testing: 74828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7941, kappa: 0.5392, kb_relative_information_score: 14725.1423, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7945, predictive_accuracy: 0.7983, prior_entropy: 0.9315, recall: 0.7983, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7881, scimark_benchmark: 1873.1108, usercpu_time_millis: 94171.875, usercpu_time_millis_testing: 94171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7096, kappa: 0.3446, kb_relative_information_score: 7929.3528, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7123, predictive_accuracy: 0.7231, prior_entropy: 0.9315, recall: 0.7231, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9021, scimark_benchmark: 1873.1108, usercpu_time_millis: 74281.25, usercpu_time_millis_testing: 74203.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7096, kappa: 0.3446, kb_relative_information_score: 7929.3528, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.7123, predictive_accuracy: 0.7231, prior_entropy: 0.9315, recall: 0.7231, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9021, scimark_benchmark: 1873.1108, usercpu_time_millis: 80218.75, usercpu_time_millis_testing: 80125, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5158, kb_relative_information_score: 7949.256, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4532, number_of_instances: 39366, precision: 0.4263, predictive_accuracy: 0.6529, prior_entropy: 0.9315, recall: 0.6529, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.2376,
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,

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