Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270274 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 624.4886, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4973, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.907, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 135.507, mean_absolute_error: 0.3929, 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: 0.8673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.924, scimark_benchmark: 1818.4563, usercpu_time_millis: 2.445, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.5213, kappa: 0.0079, kb_relative_information_score: 77.0161, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7744, predictive_accuracy: 0.6555, prior_entropy: 0.9312, recall: 0.6555, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9458, scimark_benchmark: 1864.9656, usercpu_time_millis: 1.259, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7848, kappa: 0.5155, kb_relative_information_score: 324.4207, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8522, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.775, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.179, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6206, kappa: 0.1802, kb_relative_information_score: 91.8913, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7825, predictive_accuracy: 0.7025, prior_entropy: 0.9312, recall: 0.7025, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9351, scimark_benchmark: 1865.4965, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.5165, kb_relative_information_score: 74.5468, mean_absolute_error: 0.4145, 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: 0.9149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9569, scimark_benchmark: 1865.0384, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.5165, kb_relative_information_score: 20.7054, mean_absolute_error: 0.4451, 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: 0.9826, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9836, scimark_benchmark: 1867.7979, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.6521, kappa: 0.2414, kb_relative_information_score: 161.0919, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8046, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8773, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.936, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 665.7829, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4494, scimark_benchmark: 1906.6219, usercpu_time_millis: 1.783, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9621, kappa: 0.9158, kb_relative_information_score: 667.7568, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9628, predictive_accuracy: 0.9624, prior_entropy: 0.9312, recall: 0.9624, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4844, scimark_benchmark: 1974.1884, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 775.4822, mean_absolute_error: 0.1053, 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: 0.2324, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3398, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5165, kb_relative_information_score: 0.2361, 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: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1969.4859, usercpu_time_millis: 1.272, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6947, kappa: 0.3211, kb_relative_information_score: 108.5515, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6929, predictive_accuracy: 0.6973, prior_entropy: 0.9312, recall: 0.6973, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9395, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.584, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 649.4583, mean_absolute_error: 0.1767, 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: 0.39, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4509, scimark_benchmark: 1840.2163, usercpu_time_millis: 4.559, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 4.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.5839, kappa: 0.1149, kb_relative_information_score: 112.8206, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7873, predictive_accuracy: 0.6848, prior_entropy: 0.9312, recall: 0.6848, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9129, scimark_benchmark: 1837.0374, usercpu_time_millis: 2.854, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 2.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7848, kappa: 0.5155, kb_relative_information_score: 307.487, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8522, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7899, scimark_benchmark: 1857.465, usercpu_time_millis: 5.043, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 4.548,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 499.4714, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.6114, scimark_benchmark: 1855.3856, usercpu_time_millis: 3.353, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 3.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9231, kappa: 0.8275, kb_relative_information_score: 439.593, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9282, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6572, scimark_benchmark: 1773.2113, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 606.0014, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5108, scimark_benchmark: 1856.3619, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 4.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9833, kappa: 0.963, kb_relative_information_score: 853.6798, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2859, scimark_benchmark: 1853.5846, usercpu_time_millis: 3.693, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 3.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8028, kappa: 0.5544, kb_relative_information_score: 236.7034, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8472, predictive_accuracy: 0.8205, prior_entropy: 0.9312, recall: 0.8205, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8267, scimark_benchmark: 1862.4223, usercpu_time_millis: 4.251, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 3.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.5963, kappa: 0.1371, kb_relative_information_score: 95.1553, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7902, predictive_accuracy: 0.691, prior_entropy: 0.9312, recall: 0.691, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9286, scimark_benchmark: 1836.0236, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7908, kappa: 0.5271, kb_relative_information_score: 295.7063, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.83, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7759, scimark_benchmark: 1859.6227, usercpu_time_millis: 2.169, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 1.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 452.3784, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6472, scimark_benchmark: 1775.4206, usercpu_time_millis: 2.616, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 2.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8615, kappa: 0.6867, kb_relative_information_score: 442.4592, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.892, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6648, scimark_benchmark: 1847.2719, usercpu_time_millis: 5.201, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 4.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.586, kappa: 0.1186, kb_relative_information_score: 93.4776, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7878, predictive_accuracy: 0.6858, prior_entropy: 0.9312, recall: 0.6858, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9305, scimark_benchmark: 1862.4223, usercpu_time_millis: 1.299, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.706, kappa: 0.3352, kb_relative_information_score: 219.8054, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7113, predictive_accuracy: 0.7223, prior_entropy: 0.9312, recall: 0.7223, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8382, scimark_benchmark: 1863.5941, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 664.3049, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4481, scimark_benchmark: 1774.5439, usercpu_time_millis: 1.317, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9146, kappa: 0.8077, kb_relative_information_score: 599.8848, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9255, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.535, scimark_benchmark: 1787.3307, usercpu_time_millis: 9.03, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 8.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8686, kappa: 0.7028, kb_relative_information_score: 413.9103, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8909, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6791, scimark_benchmark: 1786.2261, usercpu_time_millis: 6.627, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 5.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9556, kappa: 0.9008, kb_relative_information_score: 473.7774, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9577, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6256, scimark_benchmark: 1744.1084, usercpu_time_millis: 5.578, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 4.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.87, kappa: 0.706, kb_relative_information_score: 450.7935, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8971, predictive_accuracy: 0.8779, prior_entropy: 0.9312, recall: 0.8779, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6523, scimark_benchmark: 1738.228, usercpu_time_millis: 4.698, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 4.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 647.0275, mean_absolute_error: 0.1749, 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: 0.386, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4668, scimark_benchmark: 1836.5292, usercpu_time_millis: 4.64, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 4.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.7533, kappa: 0.4474, kb_relative_information_score: 254.183, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8388, predictive_accuracy: 0.786, prior_entropy: 0.9312, recall: 0.786, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8054, scimark_benchmark: 1840.9337, usercpu_time_millis: 5.075, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 4.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.7228, kappa: 0.3833, kb_relative_information_score: 211.6687, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8272, predictive_accuracy: 0.7651, prior_entropy: 0.9312, recall: 0.7651, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8408, scimark_benchmark: 1846.5018, usercpu_time_millis: 5.52, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 4.846,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.6862, kappa: 0.306, kb_relative_information_score: 119.3776, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7963, predictive_accuracy: 0.739, prior_entropy: 0.9312, recall: 0.739, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9166, scimark_benchmark: 1734.6721, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 552.822, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9866, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5526, scimark_benchmark: 1429.9351, usercpu_time_millis: 3.644, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 3.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9532, kappa: 0.8953, kb_relative_information_score: 491.1968, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9571, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6236, scimark_benchmark: 1417.9658, usercpu_time_millis: 5.28, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 4.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.5165, kb_relative_information_score: 48.5175, mean_absolute_error: 0.43, 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: 0.9493, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9617, scimark_benchmark: 1425.2687, usercpu_time_millis: 1.992, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.6877, kappa: 0.2933, kb_relative_information_score: 97.7821, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6968, predictive_accuracy: 0.7098, prior_entropy: 0.9312, recall: 0.7098, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.938, scimark_benchmark: 1412.1149, usercpu_time_millis: 1.079, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.6962, kappa: 0.3282, kb_relative_information_score: 182.196, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8144, predictive_accuracy: 0.7474, prior_entropy: 0.9312, recall: 0.7474, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.864, scimark_benchmark: 1415.2614, usercpu_time_millis: 3.307, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 2.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 832.7421, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2834, scimark_benchmark: 1398.7659, usercpu_time_millis: 1.387, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9391, kappa: 0.8635, kb_relative_information_score: 508.5733, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9405, prior_entropy: 0.9312, recall: 0.9405, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5901, scimark_benchmark: 1375.143, usercpu_time_millis: 11.303, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 9.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9076, kappa: 0.7916, kb_relative_information_score: 553.913, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9219, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5586, scimark_benchmark: 1377.2604, usercpu_time_millis: 7.313, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 6.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.979, kappa: 0.9532, kb_relative_information_score: 705.2895, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9798, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4077, scimark_benchmark: 1384.1741, usercpu_time_millis: 5.922, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 4.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.5165, kb_relative_information_score: 20.9459, mean_absolute_error: 0.445, 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: 0.9823, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9835, scimark_benchmark: 1378.9626, usercpu_time_millis: 1.329, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 664.3496, mean_absolute_error: 0.1698, 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: 0.3749, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4308, scimark_benchmark: 1322.1868, usercpu_time_millis: 7.945, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 6.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.5754, kappa: 0.0999, kb_relative_information_score: 93.8429, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7855, predictive_accuracy: 0.6806, prior_entropy: 0.9312, recall: 0.6806, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9265, scimark_benchmark: 1364.6153, usercpu_time_millis: 1.613, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5165, kb_relative_information_score: -0.0173, 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: 1376.6221, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9619, kappa: 0.9149, kb_relative_information_score: 699.2631, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9645, predictive_accuracy: 0.9624, prior_entropy: 0.9312, recall: 0.9624, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4244, scimark_benchmark: 1374.0056, usercpu_time_millis: 9.434, usercpu_time_millis_testing: 1.159, usercpu_time_millis_training: 8.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9201, kappa: 0.82, kb_relative_information_score: 602.2615, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9309, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5213, scimark_benchmark: 1372.8078, usercpu_time_millis: 6.226, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 5.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8926, kappa: 0.7573, kb_relative_information_score: 548.8211, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9116, predictive_accuracy: 0.8977, prior_entropy: 0.9312, recall: 0.8977, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5804, scimark_benchmark: 1372.551, usercpu_time_millis: 3.084, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 2.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8067, kappa: 0.5634, kb_relative_information_score: 277.2658, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8556, predictive_accuracy: 0.8246, prior_entropy: 0.9312, recall: 0.8246, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.8011, scimark_benchmark: 1374.702, usercpu_time_millis: 4.243, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 3.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 91.5812, mean_absolute_error: 0.4138, 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: 0.9134, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9288, scimark_benchmark: 1353.2056, usercpu_time_millis: 1.909, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9294, kappa: 0.8416, kb_relative_information_score: 437.2191, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9353, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6625, scimark_benchmark: 1381.7694, usercpu_time_millis: 4.122, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 3.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 67.1259, mean_absolute_error: 0.4259, 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: 0.9402, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.95, scimark_benchmark: 1375.8068, usercpu_time_millis: 2.175, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7622, kappa: 0.4653, kb_relative_information_score: 214.5084, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8291, predictive_accuracy: 0.7902, prior_entropy: 0.9312, recall: 0.7902, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8601, scimark_benchmark: 1382.1009, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 627.1806, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4911, scimark_benchmark: 1374.039, usercpu_time_millis: 5.458, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 4.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5165, kb_relative_information_score: -0.5134, 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: 1373.1628, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9018, kappa: 0.7785, kb_relative_information_score: 557.4183, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9179, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5569, scimark_benchmark: 1378.6289, usercpu_time_millis: 4.045, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 3.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5165, kb_relative_information_score: -0.5606, 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: 1372.9348, usercpu_time_millis: 0.984, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.5165, kb_relative_information_score: 34.3417, mean_absolute_error: 0.4381, 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: 0.967, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9715, scimark_benchmark: 1380.7166, usercpu_time_millis: 1.127, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: -0.685, 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: 1374.4568, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.7895, kappa: 0.5241, kb_relative_information_score: 293.2619, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8292, predictive_accuracy: 0.8079, prior_entropy: 0.9312, recall: 0.8079, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7778, scimark_benchmark: 1373.9166, usercpu_time_millis: 2.227, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 805.6372, mean_absolute_error: 0.0884, 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: 0.1951, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3057, scimark_benchmark: 1374.9996, usercpu_time_millis: 3.884, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 3.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.699, kappa: 0.3193, kb_relative_information_score: 162.5365, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7172, predictive_accuracy: 0.7244, prior_entropy: 0.9312, recall: 0.7244, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8801, scimark_benchmark: 1376.8715, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.672, kappa: 0.2712, kb_relative_information_score: 117.1736, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7507, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.434, root_relative_squared_error: 0.912, scimark_benchmark: 1377.2189, usercpu_time_millis: 0.906, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.854,

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