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: 0.798, f_measure: 0.6874, kappa: 0.2954, kb_relative_information_score: 316.41, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6865, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0124, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7286, kappa: 0.3864, kb_relative_information_score: 389.7528, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7529, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9481, scimark_benchmark: 940.0055, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.756, kappa: 0.4479, kb_relative_information_score: 437.8993, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.7735, prior_entropy: 0.9312, recall: 0.7735, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9028, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7978, kappa: 0.5424, kb_relative_information_score: 529.3994, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8239, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7917, scimark_benchmark: 936.1714, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, 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: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7056, kappa: 0.334, kb_relative_information_score: 243.8668, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8661, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7056, kappa: 0.334, kb_relative_information_score: 243.8668, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8661, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7056, kappa: 0.334, kb_relative_information_score: 243.8668, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8661, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7056, kappa: 0.334, kb_relative_information_score: 243.8668, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8661, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7056, kappa: 0.334, kb_relative_information_score: 243.8668, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8661, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.979, kappa: 0.9534, kb_relative_information_score: 731.0677, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9794, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3876, scimark_benchmark: 936.7184, usercpu_time_millis: 520, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 731.8153, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3708, scimark_benchmark: 939.7883, usercpu_time_millis: 980, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 725.9241, mean_absolute_error: 0.135, 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: 0.2981, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3706, scimark_benchmark: 944.235, usercpu_time_millis: 2330, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 735.4702, mean_absolute_error: 0.1309, 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: 0.289, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3551, scimark_benchmark: 903.2737, usercpu_time_millis: 3490, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 2910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 735.2543, mean_absolute_error: 0.1312, 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: 0.2896, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3529, scimark_benchmark: 972.587, usercpu_time_millis: 11920, usercpu_time_millis_testing: 4590, usercpu_time_millis_training: 7330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 901.4991, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8635, kappa: 0.6942, kb_relative_information_score: 570.0037, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.866, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6586, scimark_benchmark: 936.3213, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 798.5042, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3022, scimark_benchmark: 932.438, usercpu_time_millis: 25250, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 25000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9034, kappa: 0.7831, kb_relative_information_score: 519.7713, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9098, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6152, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185, scimark_benchmark: 930.404, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185, scimark_benchmark: 859.5223, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7082, kappa: 0.3423, kb_relative_information_score: 260.8454, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7085, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8376, scimark_benchmark: 936.2574, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7788, kappa: 0.5177, kb_relative_information_score: 324.1163, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7828, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7809, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, 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: 0.9238, f_measure: 0.8635, kappa: 0.6942, kb_relative_information_score: 570.0037, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.866, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6586, scimark_benchmark: 937.5117, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6855, kappa: 0.29, kb_relative_information_score: 181.4946, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6856, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9024, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185, scimark_benchmark: 937.5117, usercpu_time_millis: 280, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 931.771, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8635, kappa: 0.6942, kb_relative_information_score: 570.0037, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.866, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6586, scimark_benchmark: 927.2917, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9034, kappa: 0.7831, kb_relative_information_score: 519.7713, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9098, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6152, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7082, kappa: 0.3423, kb_relative_information_score: 260.8454, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7085, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8376, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7788, kappa: 0.5177, kb_relative_information_score: 324.1163, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7828, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7809, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, 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: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6855, kappa: 0.29, kb_relative_information_score: 181.4946, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6856, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9024, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, 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: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 900.5583, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.262, scimark_benchmark: 1254.1389, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, 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: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 473.1656, usercpu_time_millis: 260, usercpu_time_millis_testing: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 1235.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.94, kappa: 0.8665, kb_relative_information_score: 761.9809, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9407, predictive_accuracy: 0.9405, prior_entropy: 0.9312, recall: 0.9405, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.217, root_relative_squared_error: 0.456, scimark_benchmark: 1223.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, 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: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 1219.0597, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9906, kappa: 0.9794, kb_relative_information_score: 936.0022, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9909, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2036, scimark_benchmark: 1258.2372, usercpu_time_millis: 970, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9749, kappa: 0.9445, kb_relative_information_score: 899.6717, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2808, scimark_benchmark: 478.3079, usercpu_time_millis: 11980, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 11930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7384, kappa: 0.4088, kb_relative_information_score: 367.9092, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.745, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9536, scimark_benchmark: 1168.6355, usercpu_time_millis: 31200, usercpu_time_millis_training: 31200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9749, kappa: 0.9444, kb_relative_information_score: 902.4942, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.975, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3326, usercpu_time_millis: 6.562, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 6.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9843, kappa: 0.9653, kb_relative_information_score: 923.1963, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2629, usercpu_time_millis: 27.447, usercpu_time_millis_testing: 4.962, usercpu_time_millis_training: 22.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 918.5958, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2799, usercpu_time_millis: 1.136, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9558, kappa: 0.9018, kb_relative_information_score: 861.0901, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9564, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.44, usercpu_time_millis: 6.777, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 6.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9142, kappa: 0.8099, kb_relative_information_score: 769.0808, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.914, predictive_accuracy: 0.9144, prior_entropy: 0.9312, recall: 0.9144, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6148, usercpu_time_millis: 1.567, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9736, kappa: 0.9413, kb_relative_information_score: 900.194, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3395, usercpu_time_millis: 96.241, usercpu_time_millis_testing: 7.061, usercpu_time_millis_training: 89.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 948.4988, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.1358, usercpu_time_millis: 357.663, usercpu_time_millis_testing: 10.411, usercpu_time_millis_training: 347.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 936.9977, mean_absolute_error: 0.0094, 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: 0.0207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2037, usercpu_time_millis: 3.275, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 2.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.6958, kappa: 0.3122, kb_relative_information_score: 325.1363, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7003, predictive_accuracy: 0.7129, prior_entropy: 0.9312, recall: 0.7129, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1259, usercpu_time_millis: 2.156, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9695, kappa: 0.9323, kb_relative_information_score: 890.9931, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9702, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3656, usercpu_time_millis: 2.748, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.979, kappa: 0.9536, kb_relative_information_score: 911.6952, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9792, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3036, usercpu_time_millis: 3.082, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 2.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 635.6674, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8033, usercpu_time_millis: 2.942, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 1.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9286, kappa: 0.8417, kb_relative_information_score: 801.2841, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5599, usercpu_time_millis: 0.412, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 0.017,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 918.5958, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2799, usercpu_time_millis: 0.482, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6846, kappa: 0.2881, kb_relative_information_score: 292.933, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6845, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.1542, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, 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: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, usercpu_time_millis: 2.879, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 2.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.941, kappa: 0.8713, kb_relative_information_score: 826.5866, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9434, predictive_accuracy: 0.9405, prior_entropy: 0.9312, recall: 0.9405, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5126, usercpu_time_millis: 1.305, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, 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: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, usercpu_time_millis: 1.724, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9465, kappa: 0.8815, kb_relative_information_score: 840.388, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9466, predictive_accuracy: 0.9468, prior_entropy: 0.9312, recall: 0.9468, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4849, usercpu_time_millis: 2.59, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 1.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 918.5958, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2799, usercpu_time_millis: 1.355, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 918.5958, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2799, usercpu_time_millis: 9.382, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 9.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 932.3972, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2252, usercpu_time_millis: 6.055, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 5.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9521, kappa: 0.8929, kb_relative_information_score: 854.1894, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9562, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554, usercpu_time_millis: 6.873, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 6.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 939.2979, mean_absolute_error: 0.0084, 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: 0.0184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.192, usercpu_time_millis: 46.557, usercpu_time_millis_testing: 12.032, usercpu_time_millis_training: 34.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, 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: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, usercpu_time_millis: 12.542, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 12.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 789.7829, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9234, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801, usercpu_time_millis: 0.279, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.9201, kappa: 0.82, kb_relative_information_score: 787.4827, mean_absolute_error: 0.0772, 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: 0.1705, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.584, usercpu_time_millis: 2.183, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 2.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.8547, kappa: 0.6713, kb_relative_information_score: 656.3695, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8788, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7771, usercpu_time_millis: 9.606, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 8.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 979.034, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, 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: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 979.034, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185, scimark_benchmark: 979.034, usercpu_time_millis: 360, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8019, kappa: 0.561, kb_relative_information_score: 433.3129, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8013, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7721, scimark_benchmark: 1336.8944, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6976, kappa: 0.3162, kb_relative_information_score: 167.1425, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7159, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8973, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8092, kappa: 0.5753, kb_relative_information_score: 428.3446, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8086, predictive_accuracy: 0.8111, prior_entropy: 0.9312, recall: 0.8111, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7692, scimark_benchmark: 1336.8944, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, 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: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, 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: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, 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: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6976, kappa: 0.3162, kb_relative_information_score: 167.1425, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7159, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8973, scimark_benchmark: 1838.8826,

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