Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 1929 Supervised Classification tic-tac-toe 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8499, kappa: 0.6652, kb_relative_information_score: 6031.8989, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8502, predictive_accuracy: 0.8519, prior_entropy: 0.9312, recall: 0.8519, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7043, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7728, kappa: 0.5049, kb_relative_information_score: 3229.3947, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7771, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7826, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7293, kappa: 0.3892, kb_relative_information_score: 2761.5595, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7323, predictive_accuracy: 0.7408, prior_entropy: 0.9312, recall: 0.7408, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8279, scimark_benchmark: 851.2074, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.875, kappa: 0.7176, kb_relative_information_score: 6954.7345, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8926, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7249, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.875, kappa: 0.7176, kb_relative_information_score: 6954.7345, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8926, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7249, scimark_benchmark: 941.3142, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9078, kappa: 0.793, kb_relative_information_score: 5376.5354, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.913, predictive_accuracy: 0.91, prior_entropy: 0.9312, recall: 0.91, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.597, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9828, kappa: 0.962, kb_relative_information_score: 7955.3158, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9312, recall: 0.9829, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3075, scimark_benchmark: 943.8235, usercpu_time_millis: 35450, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 34990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.926, kb_relative_information_score: 5554.2598, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9677, predictive_accuracy: 0.967, prior_entropy: 0.9312, recall: 0.967, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5499, scimark_benchmark: 931.771, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.875, kappa: 0.7176, kb_relative_information_score: 6954.7345, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8926, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7249, scimark_benchmark: 937.5117, usercpu_time_millis: 290, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8357, kappa: 0.632, kb_relative_information_score: 5263.6975, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8371, predictive_accuracy: 0.8389, prior_entropy: 0.9312, recall: 0.8389, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7277, scimark_benchmark: 947.1781, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.926, kb_relative_information_score: 5554.2598, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9677, predictive_accuracy: 0.967, prior_entropy: 0.9312, recall: 0.967, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5499, scimark_benchmark: 943.1009, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8499, kappa: 0.6652, kb_relative_information_score: 6031.8989, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8502, predictive_accuracy: 0.8519, prior_entropy: 0.9312, recall: 0.8519, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7043, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7728, kappa: 0.5049, kb_relative_information_score: 3229.3947, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7771, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7826, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7293, kappa: 0.3892, kb_relative_information_score: 2761.5595, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7323, predictive_accuracy: 0.7408, prior_entropy: 0.9312, recall: 0.7408, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8279, scimark_benchmark: 608.4057, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.875, kappa: 0.7176, kb_relative_information_score: 6954.7345, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8926, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7249, scimark_benchmark: 730.6551, usercpu_time_millis: 370, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.875, kappa: 0.7176, kb_relative_information_score: 6954.7345, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8926, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7249, scimark_benchmark: 938.1282, usercpu_time_millis: 330, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9078, kappa: 0.793, kb_relative_information_score: 5376.5354, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.913, predictive_accuracy: 0.91, prior_entropy: 0.9312, recall: 0.91, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.597, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9828, kappa: 0.962, kb_relative_information_score: 7955.316, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9312, recall: 0.9829, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3075, scimark_benchmark: 919.3788, usercpu_time_millis: 21730, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 21600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8357, kappa: 0.632, kb_relative_information_score: 5263.6975, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8371, predictive_accuracy: 0.8389, prior_entropy: 0.9312, recall: 0.8389, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7277, scimark_benchmark: 935.5664, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.926, kb_relative_information_score: 5554.2598, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9677, predictive_accuracy: 0.967, prior_entropy: 0.9312, recall: 0.967, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5499, scimark_benchmark: 901.4991, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 7272.9017, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3651, scimark_benchmark: 944.0133, usercpu_time_millis: 8190, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 6080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 7279.0466, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3664, scimark_benchmark: 940.1221, usercpu_time_millis: 4090, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9865, kappa: 0.97, kb_relative_information_score: 7256.1056, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9867, predictive_accuracy: 0.9865, prior_entropy: 0.9312, recall: 0.9865, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3739, scimark_benchmark: 931.6751, usercpu_time_millis: 1990, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9844, kappa: 0.9654, kb_relative_information_score: 7244.6186, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9846, predictive_accuracy: 0.9844, prior_entropy: 0.9312, recall: 0.9844, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3833, scimark_benchmark: 920.5394, usercpu_time_millis: 980, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9771, kappa: 0.9493, kb_relative_information_score: 7204.2499, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9775, predictive_accuracy: 0.9772, prior_entropy: 0.9312, recall: 0.9772, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4037, scimark_benchmark: 935.6052, usercpu_time_millis: 540, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.702, kappa: 0.3265, kb_relative_information_score: 2394.358, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7062, predictive_accuracy: 0.718, prior_entropy: 0.9312, recall: 0.718, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8706, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.702, kappa: 0.3265, kb_relative_information_score: 2394.358, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7062, predictive_accuracy: 0.718, prior_entropy: 0.9312, recall: 0.718, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8706, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.702, kappa: 0.3265, kb_relative_information_score: 2394.358, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7062, predictive_accuracy: 0.718, prior_entropy: 0.9312, recall: 0.718, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8706, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.702, kappa: 0.3265, kb_relative_information_score: 2394.358, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7062, predictive_accuracy: 0.718, prior_entropy: 0.9312, recall: 0.718, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8706, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -1.6386, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7728, kappa: 0.5049, kb_relative_information_score: 3229.3947, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7771, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7826, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.875, kappa: 0.7176, kb_relative_information_score: 6954.7345, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8926, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7249, scimark_benchmark: 1318.4315, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.6846, kappa: 0.2879, kb_relative_information_score: 1786.8286, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.6849, predictive_accuracy: 0.699, prior_entropy: 0.9312, recall: 0.699, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9053, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9828, kappa: 0.962, kb_relative_information_score: 7955.316, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9312, recall: 0.9829, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3075, scimark_benchmark: 1354.5533, usercpu_time_millis: 17530, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 17340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8499, kappa: 0.6652, kb_relative_information_score: 6031.8989, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8502, predictive_accuracy: 0.8519, prior_entropy: 0.9312, recall: 0.8519, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7043, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8357, kappa: 0.632, kb_relative_information_score: 5263.6975, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8371, predictive_accuracy: 0.8389, prior_entropy: 0.9312, recall: 0.8389, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7277, scimark_benchmark: 1317.6232, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.926, kb_relative_information_score: 5554.2598, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9677, predictive_accuracy: 0.967, prior_entropy: 0.9312, recall: 0.967, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5499, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 9208.9607, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1362.1309, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7728, kappa: 0.5049, kb_relative_information_score: 3229.3947, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7771, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7826, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7293, kappa: 0.3892, kb_relative_information_score: 2761.5595, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7323, predictive_accuracy: 0.7408, prior_entropy: 0.9312, recall: 0.7408, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8279, scimark_benchmark: 1344.0499, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1337.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9078, kappa: 0.793, kb_relative_information_score: 5376.5354, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.913, predictive_accuracy: 0.91, prior_entropy: 0.9312, recall: 0.91, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.597, scimark_benchmark: 1330.4755, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1356.4396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1331.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8357, kappa: 0.632, kb_relative_information_score: 5263.6975, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8371, predictive_accuracy: 0.8389, prior_entropy: 0.9312, recall: 0.8389, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7277, scimark_benchmark: 1322.7257, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.875, kappa: 0.7176, kb_relative_information_score: 6954.7345, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.8926, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7249, scimark_benchmark: 1267.3105, usercpu_time_millis: 310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.926, kb_relative_information_score: 5554.2598, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9677, predictive_accuracy: 0.967, prior_entropy: 0.9312, recall: 0.967, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5499, scimark_benchmark: 1260.1387, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 2571.4303, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.7342, predictive_accuracy: 0.7425, prior_entropy: 0.9312, recall: 0.7425, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.926, kb_relative_information_score: 5554.2598, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9677, predictive_accuracy: 0.967, prior_entropy: 0.9312, recall: 0.967, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5499, scimark_benchmark: 1281.7531, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,

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