OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111517 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.6664, kappa: 0.2692, kb_relative_information_score: 152.1781, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8088, predictive_accuracy: 0.7296, prior_entropy: 0.9312, recall: 0.7296, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.887, scimark_benchmark: 1868.7112, usercpu_time_millis: 3.748, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 3.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.5165, kb_relative_information_score: -1.1347, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1947.0363, usercpu_time_millis: 1.274, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 538.0533, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5583, scimark_benchmark: 1869.2942, usercpu_time_millis: 10.044, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 8.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 477.8387, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6426, scimark_benchmark: 1946.4842, usercpu_time_millis: 1.079, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.7133, kappa: 0.3524, kb_relative_information_score: 130.8493, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7406, predictive_accuracy: 0.7401, prior_entropy: 0.9312, recall: 0.7401, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9145, scimark_benchmark: 1947.4924, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9641, kappa: 0.9199, kb_relative_information_score: 613.9288, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9658, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5227, scimark_benchmark: 1864.9656, usercpu_time_millis: 3.813, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 3.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 804.7613, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.305, scimark_benchmark: 1869.8223, usercpu_time_millis: 9.657, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 8.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9695, kappa: 0.9323, kb_relative_information_score: 497.787, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.97, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.6079, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 743.2288, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3663, scimark_benchmark: 1872.4881, usercpu_time_millis: 6.201, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 5.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 655.4203, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4611, scimark_benchmark: 1834.698, usercpu_time_millis: 8.592, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 7.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8404, kappa: 0.639, kb_relative_information_score: 385.1355, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8799, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7166, scimark_benchmark: 1830.0638, usercpu_time_millis: 5.188, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 4.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 696.0287, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4196, scimark_benchmark: 1761.8433, usercpu_time_millis: 8.108, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 6.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.7664, kappa: 0.4756, kb_relative_information_score: 267.3381, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8442, predictive_accuracy: 0.7954, prior_entropy: 0.9312, recall: 0.7954, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7957, scimark_benchmark: 1828.5067, usercpu_time_millis: 5.011, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 4.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8159, kappa: 0.5836, kb_relative_information_score: 278.341, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8547, predictive_accuracy: 0.8309, prior_entropy: 0.9312, recall: 0.8309, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7917, scimark_benchmark: 1828.6161, usercpu_time_millis: 5.055, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 4.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.7553, kappa: 0.4515, kb_relative_information_score: 255.3347, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8371, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8063, scimark_benchmark: 1827.1684, usercpu_time_millis: 4.844, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 3.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.98, kappa: 0.9557, kb_relative_information_score: 538.616, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9806, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5696, scimark_benchmark: 1947.6471, usercpu_time_millis: 2.926, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 2.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 675.3564, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4303, scimark_benchmark: 1894.7739, usercpu_time_millis: 4.375, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 3.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9629, kappa: 0.9173, kb_relative_information_score: 680.9759, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9654, predictive_accuracy: 0.9635, prior_entropy: 0.9312, recall: 0.9635, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.208, root_relative_squared_error: 0.437, scimark_benchmark: 1870.5885, usercpu_time_millis: 14.244, usercpu_time_millis_testing: 1.906, usercpu_time_millis_training: 12.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9221, kappa: 0.8255, kb_relative_information_score: 636.1595, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5185, scimark_benchmark: 1827.1289, usercpu_time_millis: 6.116, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 5.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 805.6934, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3003, scimark_benchmark: 1869.2273, usercpu_time_millis: 11.963, usercpu_time_millis_testing: 1.744, usercpu_time_millis_training: 10.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.5165, kb_relative_information_score: -0.2831, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1919.2451, usercpu_time_millis: 0.565, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 125.2812, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9334, scimark_benchmark: 1904.1644, usercpu_time_millis: 1.038, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.6979, kappa: 0.3344, kb_relative_information_score: 182.5896, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6986, predictive_accuracy: 0.6973, prior_entropy: 0.9312, recall: 0.6973, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8741, scimark_benchmark: 1914.7924, usercpu_time_millis: 2.266, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.8863, kappa: 0.7432, kb_relative_information_score: 380.8859, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9029, predictive_accuracy: 0.8914, prior_entropy: 0.9312, recall: 0.8914, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7028, scimark_benchmark: 1921.3004, usercpu_time_millis: 2.415, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 2.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8447, kappa: 0.6486, kb_relative_information_score: 344.8528, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8796, predictive_accuracy: 0.856, prior_entropy: 0.9312, recall: 0.856, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7424, scimark_benchmark: 1913.7583, usercpu_time_millis: 2.806, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 2.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9112, kappa: 0.8, kb_relative_information_score: 507.8916, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.923, predictive_accuracy: 0.9144, prior_entropy: 0.9312, recall: 0.9144, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6, scimark_benchmark: 1835.621, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.5536, kappa: 0.0621, kb_relative_information_score: 99.3784, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7808, predictive_accuracy: 0.6701, prior_entropy: 0.9312, recall: 0.6701, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9264, scimark_benchmark: 1833.7089, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5165, kb_relative_information_score: -0.3935, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6917, kappa: 0.3024, kb_relative_information_score: 149.155, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7021, predictive_accuracy: 0.714, prior_entropy: 0.9312, recall: 0.714, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8932, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.953, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.5165, kb_relative_information_score: -0.2125, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, 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: 1869.2422, usercpu_time_millis: 0.992, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7292, kappa: 0.3949, kb_relative_information_score: 182.2188, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8157, predictive_accuracy: 0.7672, prior_entropy: 0.9312, recall: 0.7672, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.866, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.911, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.231, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.017, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: -0.0486, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.525, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.6916, kappa: 0.3038, kb_relative_information_score: 224.0251, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6925, predictive_accuracy: 0.7056, prior_entropy: 0.9312, recall: 0.7056, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8401, scimark_benchmark: 1827.7727, usercpu_time_millis: 1.404, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.5446, kappa: 0.0467, kb_relative_information_score: 78.5789, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.779, predictive_accuracy: 0.666, prior_entropy: 0.9312, recall: 0.666, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9431, scimark_benchmark: 1832.0698, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.164,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.8984, kappa: 0.7706, kb_relative_information_score: 539.7756, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9155, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5725, scimark_benchmark: 1846.1643, usercpu_time_millis: 7.679, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 6.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9445, kappa: 0.8756, kb_relative_information_score: 621.1721, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9499, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.497, scimark_benchmark: 1843.7091, usercpu_time_millis: 11.678, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 9.915,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6828, kappa: 0.2888, kb_relative_information_score: 113.2861, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.68, predictive_accuracy: 0.69, prior_entropy: 0.9312, recall: 0.69, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9243, scimark_benchmark: 1864.5074, usercpu_time_millis: 1.935, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.5165, kb_relative_information_score: 33.7157, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9729, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.528, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9178, kappa: 0.8149, kb_relative_information_score: 579.5794, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9293, predictive_accuracy: 0.9207, prior_entropy: 0.9312, recall: 0.9207, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5385, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.073, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.939, kappa: 0.8631, kb_relative_information_score: 646.338, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9455, predictive_accuracy: 0.9405, prior_entropy: 0.9312, recall: 0.9405, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.4784, scimark_benchmark: 1124.1618, usercpu_time_millis: 12.382, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 10.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.5377, kappa: 0.0351, kb_relative_information_score: 87.05, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7776, predictive_accuracy: 0.6628, prior_entropy: 0.9312, recall: 0.6628, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.443, root_relative_squared_error: 0.931, scimark_benchmark: 1869.2942, usercpu_time_millis: 1.836, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.7518, kappa: 0.4442, kb_relative_information_score: 239.6655, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8382, predictive_accuracy: 0.785, prior_entropy: 0.9312, recall: 0.785, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8185, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.715, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 2.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8442, kappa: 0.6475, kb_relative_information_score: 352.8153, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8755, predictive_accuracy: 0.8549, prior_entropy: 0.9312, recall: 0.8549, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7365, scimark_benchmark: 1853.9121, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6077, kappa: 0.157, kb_relative_information_score: 92.1772, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7848, predictive_accuracy: 0.6962, prior_entropy: 0.9312, recall: 0.6962, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9348, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.43, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 2.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 832.1692, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9867, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2945, scimark_benchmark: 1848.388, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8736, kappa: 0.7142, kb_relative_information_score: 477.4485, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8993, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6339, scimark_benchmark: 1871.9601, usercpu_time_millis: 2.754, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7871, kappa: 0.5201, kb_relative_information_score: 225.6183, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8492, predictive_accuracy: 0.81, prior_entropy: 0.9312, recall: 0.81, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8496, scimark_benchmark: 1848.8474, usercpu_time_millis: 1.209, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 1.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8263, kappa: 0.6071, kb_relative_information_score: 294.3045, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8663, predictive_accuracy: 0.8403, prior_entropy: 0.9312, recall: 0.8403, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7804, scimark_benchmark: 1857.1082, usercpu_time_millis: 0.792, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 733.3973, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3743, scimark_benchmark: 1859.2355, usercpu_time_millis: 6.949, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 6.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7069, kappa: 0.3504, kb_relative_information_score: 192.1992, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8217, predictive_accuracy: 0.7547, prior_entropy: 0.9312, recall: 0.7547, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8564, scimark_benchmark: 1867.725, usercpu_time_millis: 3.625, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 3.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.6709, kappa: 0.2764, kb_relative_information_score: 151.3191, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7972, predictive_accuracy: 0.7307, prior_entropy: 0.9312, recall: 0.7307, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8882, scimark_benchmark: 1749.9829, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7641, kappa: 0.4692, kb_relative_information_score: 192.7012, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8281, predictive_accuracy: 0.7912, prior_entropy: 0.9312, recall: 0.7912, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8621, scimark_benchmark: 1870.3532, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 192.1976, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8615, scimark_benchmark: 1875.7685, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.5165, kb_relative_information_score: 50.4454, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.962, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5165, kb_relative_information_score: 0.0216, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.443, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.5165, kb_relative_information_score: 28.219, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9773, scimark_benchmark: 1858.4623, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 120.8628, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.168, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 1.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.54, kappa: 0.039, kb_relative_information_score: 70.4341, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.778, predictive_accuracy: 0.6639, prior_entropy: 0.9312, recall: 0.6639, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9438, scimark_benchmark: 1870.6721, usercpu_time_millis: 0.406, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7428, kappa: 0.4185, kb_relative_information_score: 169.7915, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7718, predictive_accuracy: 0.7651, prior_entropy: 0.9312, recall: 0.7651, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8916, scimark_benchmark: 1745.8488, usercpu_time_millis: 1.124, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.7733, kappa: 0.487, kb_relative_information_score: 299.0478, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7984, predictive_accuracy: 0.7902, prior_entropy: 0.9312, recall: 0.7902, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7765, scimark_benchmark: 1865.3572, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9587, kappa: 0.908, kb_relative_information_score: 471.9484, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9608, predictive_accuracy: 0.9593, prior_entropy: 0.9312, recall: 0.9593, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6271, scimark_benchmark: 1870.8114, usercpu_time_millis: 2.559, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 2.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8447, kappa: 0.6486, kb_relative_information_score: 386.4697, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8734, predictive_accuracy: 0.8549, prior_entropy: 0.9312, recall: 0.8549, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.708, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.5165, kb_relative_information_score: -0.5229, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.5165, kb_relative_information_score: 19.6417, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9844, scimark_benchmark: 1873.5991, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 83.4067, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.937, scimark_benchmark: 1866.5348, usercpu_time_millis: 0.811, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.6927, kappa: 0.3153, kb_relative_information_score: 187.2129, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6905, predictive_accuracy: 0.6962, prior_entropy: 0.9312, recall: 0.6962, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8708, scimark_benchmark: 1871.5019, usercpu_time_millis: 3.11, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 2.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6355, kappa: 0.2096, kb_relative_information_score: 94.6486, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8001, predictive_accuracy: 0.7119, prior_entropy: 0.9312, recall: 0.7119, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9332, scimark_benchmark: 1860.7227, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5165, kb_relative_information_score: -0.0262, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1845.6009, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.5165, kb_relative_information_score: -0.1701, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1861.2508, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.886,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs