Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111827 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: 0.7744, 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: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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: 1851.1033, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
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: 1851.1033, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
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: 1851.1033, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 62.4004,
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: 1850.8887, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7592, kappa: 0.4552, kb_relative_information_score: 347.7549, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7748, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8348, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 743.2598, mean_absolute_error: 0.1042, 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: 0.2301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4964, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 743.2598, mean_absolute_error: 0.1042, 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: 0.2301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4964, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9603, kappa: 0.9124, kb_relative_information_score: 627.4614, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 743.2598, mean_absolute_error: 0.1042, 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: 0.2301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4964, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9603, kappa: 0.9124, kb_relative_information_score: 627.4614, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, usercpu_time_millis: 2.72, usercpu_time_millis_testing: 2.01, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 743.2598, mean_absolute_error: 0.1042, 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: 0.2301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4964, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9603, kappa: 0.9124, kb_relative_information_score: 627.4614, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 743.2598, mean_absolute_error: 0.1042, 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: 0.2301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4964, usercpu_time_millis: 0.124, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9603, kappa: 0.9124, kb_relative_information_score: 627.4614, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.138,
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: 1732.2066,
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: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, 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: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 1732.2066, usercpu_time_millis: 1326.0085, usercpu_time_millis_training: 1326.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7932, kappa: 0.5378, kb_relative_information_score: 440.5752, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7975, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.7259, kappa: 0.3802, kb_relative_information_score: 273.155, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7334, predictive_accuracy: 0.7411, prior_entropy: 0.9312, recall: 0.7411, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8819, scimark_benchmark: 1779.392,
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, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7247, kappa: 0.3773, kb_relative_information_score: 387.2425, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7338, predictive_accuracy: 0.7411, prior_entropy: 0.9312, recall: 0.7411, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0692, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6964, kappa: 0.3172, kb_relative_information_score: 309.0347, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6948, predictive_accuracy: 0.7056, prior_entropy: 0.9312, recall: 0.7056, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.1401,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.7429, kappa: 0.4233, kb_relative_information_score: 463.1501, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8152, predictive_accuracy: 0.7756, prior_entropy: 0.9312, recall: 0.7756, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.6778, kappa: 0.2871, kb_relative_information_score: 249.2287, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6772, predictive_accuracy: 0.6785, prior_entropy: 0.9312, recall: 0.6785, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.567, root_relative_squared_error: 1.1915,
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: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7857, kappa: 0.5223, kb_relative_information_score: 343.5743, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7848, predictive_accuracy: 0.7881, prior_entropy: 0.9312, recall: 0.7881, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8211, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
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: 1873.1108, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7725, kappa: 0.4854, kb_relative_information_score: 289.8932, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7999, predictive_accuracy: 0.7902, prior_entropy: 0.9312, recall: 0.7902, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.8255, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
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: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7985, kappa: 0.5531, kb_relative_information_score: 406.6757, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7978, predictive_accuracy: 0.7996, prior_entropy: 0.9312, recall: 0.7996, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7876, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.978, kappa: 0.9513, kb_relative_information_score: 893.1044, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3035, scimark_benchmark: 886.9646, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.7175, kappa: 0.3612, kb_relative_information_score: 371.1409, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7249, predictive_accuracy: 0.7338, prior_entropy: 0.9312, recall: 0.7338, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0842, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
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, scimark_benchmark: 942.9497, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7069, kappa: 0.3405, kb_relative_information_score: 231.9933, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7059, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8865, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.724, kappa: 0.3946, kb_relative_information_score: 216.0654, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7261, predictive_accuracy: 0.7223, prior_entropy: 0.9312, recall: 0.7223, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9169, scimark_benchmark: 1788.6668, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.9462, kb_relative_information_score: 561.6586, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9767, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5412, scimark_benchmark: 1507.5536, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, 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: 1643.5475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7932, kappa: 0.5378, kb_relative_information_score: 440.5752, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7975, scimark_benchmark: 1723.9359, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1567.2149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7765, kappa: 0.5118, kb_relative_information_score: 469.3797, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7798, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9519, scimark_benchmark: 1611.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7765, kappa: 0.5118, kb_relative_information_score: 469.3797, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7798, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9519, scimark_benchmark: 1550.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7774, kappa: 0.4981, kb_relative_information_score: 434.0342, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7824, predictive_accuracy: 0.786, prior_entropy: 0.9312, recall: 0.786, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.8117, scimark_benchmark: 1457.4983, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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, scimark_benchmark: 1662.5629, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 861.9871, mean_absolute_error: 0.0544, 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: 0.12, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2634, scimark_benchmark: 1659.2597, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7919, kappa: 0.5293, kb_relative_information_score: 534.4573, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8221, predictive_accuracy: 0.8079, prior_entropy: 0.9312, recall: 0.8079, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9209, scimark_benchmark: 1625.6999, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1707.5139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9093, kappa: 0.7981, kb_relative_information_score: 759.8799, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9099, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6296, scimark_benchmark: 1475.9766, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8777, kappa: 0.7451, kb_relative_information_score: 681.6721, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.908, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7437, scimark_benchmark: 1635.3216, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 925.8263, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9846, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.1833, scimark_benchmark: 1473.11, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1441.6118, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.677, kappa: 0.2736, kb_relative_information_score: 96.9679, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6745, predictive_accuracy: 0.6868, prior_entropy: 0.9312, recall: 0.6868, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9564, scimark_benchmark: 1422.9647, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1565.4071, 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: 1605.7942, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 1475.8487, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9696, kappa: 0.9327, kb_relative_information_score: 887.4833, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3235, scimark_benchmark: 1689.1399, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9549, kappa: 0.9001, kb_relative_information_score: 836.6424, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3874, scimark_benchmark: 1367.2473, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9549, kappa: 0.9001, kb_relative_information_score: 836.6424, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3874, scimark_benchmark: 1453.7011, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1670.243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9233, kappa: 0.8282, kb_relative_information_score: 606.4506, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9272, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5415, scimark_benchmark: 1551.0263, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9811, kappa: 0.9582, kb_relative_information_score: 902.4994, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2533, scimark_benchmark: 1502.7432, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1346.218, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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