OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 4557 Supervised Classification anneal 193 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8931, kappa: 0.7055, kb_relative_information_score: 5278.0303, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8931, predictive_accuracy: 0.8931, prior_entropy: 0.7932, recall: 0.8931, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.6259, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9761, kappa: 0.9346, kb_relative_information_score: 7037.1709, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9765, predictive_accuracy: 0.9759, prior_entropy: 0.7932, recall: 0.9759, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3889, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9761, kappa: 0.9343, kb_relative_information_score: 7121.2949, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 0.7932, recall: 0.9761, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.4106, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 941.3142, usercpu_time_millis: 250, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9402, kappa: 0.8351, kb_relative_information_score: 6094.8445, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9401, predictive_accuracy: 0.9403, prior_entropy: 0.7932, recall: 0.9403, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.5162, scimark_benchmark: 938.191, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8903, kappa: 0.6911, kb_relative_information_score: 4853.0518, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.89, predictive_accuracy: 0.893, prior_entropy: 0.7932, recall: 0.893, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.274, root_relative_squared_error: 0.6432, scimark_benchmark: 941.6675, usercpu_time_millis: 48810, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 48200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9708, kappa: 0.919, kb_relative_information_score: 7218.534, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.7932, recall: 0.9709, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4066, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9508, kappa: 0.8644, kb_relative_information_score: 6426.8064, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.7932, recall: 0.9509, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4645, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 941.3847, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9508, kappa: 0.8644, kb_relative_information_score: 6426.8064, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.7932, recall: 0.9509, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4645, scimark_benchmark: 947.1781, usercpu_time_millis: 1050, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8931, kappa: 0.7055, kb_relative_information_score: 5278.0303, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8931, predictive_accuracy: 0.8931, prior_entropy: 0.7932, recall: 0.8931, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.6259, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9761, kappa: 0.9346, kb_relative_information_score: 7037.1709, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9765, predictive_accuracy: 0.9759, prior_entropy: 0.7932, recall: 0.9759, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3889, scimark_benchmark: 901.6243, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9761, kappa: 0.9343, kb_relative_information_score: 7121.2949, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 0.7932, recall: 0.9761, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.4106, scimark_benchmark: 934.695, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 940.1221, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 859.5223, usercpu_time_millis: 230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9402, kappa: 0.8351, kb_relative_information_score: 6094.8445, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9401, predictive_accuracy: 0.9403, prior_entropy: 0.7932, recall: 0.9403, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.5162, scimark_benchmark: 903.2737, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9708, kappa: 0.919, kb_relative_information_score: 7218.534, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.7932, recall: 0.9709, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4066, scimark_benchmark: 941.3057, usercpu_time_millis: 1390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9508, kappa: 0.8644, kb_relative_information_score: 6426.8064, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.7932, recall: 0.9509, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4645, scimark_benchmark: 938.988, usercpu_time_millis: 960, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9763, kappa: 0.9346, kb_relative_information_score: 7532.688, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9763, predictive_accuracy: 0.9764, prior_entropy: 0.7932, recall: 0.9764, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.3288, scimark_benchmark: 908.9569, usercpu_time_millis: 15950, usercpu_time_millis_testing: 7380, usercpu_time_millis_training: 8570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9777, kappa: 0.9383, kb_relative_information_score: 7527.162, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 0.7932, recall: 0.9777, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3301, scimark_benchmark: 936.3373, usercpu_time_millis: 5300, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9765, kappa: 0.9352, kb_relative_information_score: 7538.8629, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 0.7932, recall: 0.9766, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3316, scimark_benchmark: 936.2574, usercpu_time_millis: 2090, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9765, kappa: 0.9352, kb_relative_information_score: 7514.9549, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 0.7932, recall: 0.9766, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.144, root_relative_squared_error: 0.338, scimark_benchmark: 939.3535, usercpu_time_millis: 1020, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9738, kappa: 0.9275, kb_relative_information_score: 7445.4457, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9737, predictive_accuracy: 0.9738, prior_entropy: 0.7932, recall: 0.9738, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.357, scimark_benchmark: 862.7006, usercpu_time_millis: 520, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9788, kappa: 0.9421, kb_relative_information_score: 8008.7416, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9793, predictive_accuracy: 0.9786, prior_entropy: 0.7932, recall: 0.9786, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3238, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9788, kappa: 0.9421, kb_relative_information_score: 8008.7416, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9793, predictive_accuracy: 0.9786, prior_entropy: 0.7932, recall: 0.9786, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3238, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9788, kappa: 0.9421, kb_relative_information_score: 8008.7416, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9793, predictive_accuracy: 0.9786, prior_entropy: 0.7932, recall: 0.9786, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3238, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9788, kappa: 0.9421, kb_relative_information_score: 8008.7416, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9793, predictive_accuracy: 0.9786, prior_entropy: 0.7932, recall: 0.9786, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3238, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9784, kappa: 0.9409, kb_relative_information_score: 7986.4597, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9789, predictive_accuracy: 0.9782, prior_entropy: 0.7932, recall: 0.9782, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.3272, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.6587, kb_relative_information_score: -8.602, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4261, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9747, kappa: 0.9308, kb_relative_information_score: 8244.3672, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.975, predictive_accuracy: 0.9746, prior_entropy: 0.7932, recall: 0.9746, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3563, scimark_benchmark: 936.7286, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.966, kappa: 0.9064, kb_relative_information_score: 7984.7872, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.7932, recall: 0.966, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.4172, scimark_benchmark: 929.0296, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9544, kappa: 0.874, kb_relative_information_score: 7709.722, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9543, predictive_accuracy: 0.9546, prior_entropy: 0.7932, recall: 0.9546, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4659, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9475, kappa: 0.8541, kb_relative_information_score: 7264.5386, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9474, predictive_accuracy: 0.948, prior_entropy: 0.7932, recall: 0.948, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.498, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9508, kappa: 0.8644, kb_relative_information_score: 6426.8064, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.7932, recall: 0.9509, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4645, scimark_benchmark: 1350.2591, usercpu_time_millis: 840, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8882, kappa: 0.7011, kb_relative_information_score: 4744.0654, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8941, predictive_accuracy: 0.8854, prior_entropy: 0.7932, recall: 0.8854, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.283, root_relative_squared_error: 0.6641, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9402, kappa: 0.8351, kb_relative_information_score: 6094.8445, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9401, predictive_accuracy: 0.9403, prior_entropy: 0.7932, recall: 0.9403, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.5162, scimark_benchmark: 1342.8584, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8903, kappa: 0.6911, kb_relative_information_score: 4853.0464, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.89, predictive_accuracy: 0.893, prior_entropy: 0.7932, recall: 0.893, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.274, root_relative_squared_error: 0.6432, scimark_benchmark: 1316.6799, usercpu_time_millis: 25810, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 25530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1316.6799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8882, kappa: 0.7011, kb_relative_information_score: 4744.0654, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8941, predictive_accuracy: 0.8854, prior_entropy: 0.7932, recall: 0.8854, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.283, root_relative_squared_error: 0.6641, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1335.3312, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9708, kappa: 0.919, kb_relative_information_score: 7218.534, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.7932, recall: 0.9709, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4066, scimark_benchmark: 1322.1893, usercpu_time_millis: 1300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9508, kappa: 0.8644, kb_relative_information_score: 6426.8064, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.7932, recall: 0.9509, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4645, scimark_benchmark: 1313.5633, usercpu_time_millis: 640, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9761, kappa: 0.9343, kb_relative_information_score: 7121.2949, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 0.7932, recall: 0.9761, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.4106, scimark_benchmark: 1321.8132, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 1276.5507, usercpu_time_millis: 480, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8882, kappa: 0.7011, kb_relative_information_score: 4744.0654, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8941, predictive_accuracy: 0.8854, prior_entropy: 0.7932, recall: 0.8854, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.283, root_relative_squared_error: 0.6641, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1336.4701, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9402, kappa: 0.8351, kb_relative_information_score: 6094.8445, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9401, predictive_accuracy: 0.9403, prior_entropy: 0.7932, recall: 0.9403, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.5162, scimark_benchmark: 1326.0745, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9761, kappa: 0.9346, kb_relative_information_score: 7037.1709, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9765, predictive_accuracy: 0.9759, prior_entropy: 0.7932, recall: 0.9759, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3889, scimark_benchmark: 1330.0291, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 1350.4825, usercpu_time_millis: 460, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 1292.5208, usercpu_time_millis: 470, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8168, kappa: 0.4593, kb_relative_information_score: 4522.6394, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.8433, predictive_accuracy: 0.8403, prior_entropy: 0.7932, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9379, scimark_benchmark: 1299.6719, usercpu_time_millis: 450, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9708, kappa: 0.919, kb_relative_information_score: 7218.534, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.7932, recall: 0.9709, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4066, scimark_benchmark: 940.3347, usercpu_time_millis: 1410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9303, kappa: 0.8068, kb_relative_information_score: 6142.9859, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.93, predictive_accuracy: 0.9307, prior_entropy: 0.7932, recall: 0.9307, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5574, scimark_benchmark: 1280.6338, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9264, kappa: 0.7956, kb_relative_information_score: 6425.5744, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.7932, recall: 0.9269, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9212, kappa: 0.7825, kb_relative_information_score: 6576.0268, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.3633, number_of_instances: 8980, precision: 0.9211, predictive_accuracy: 0.9213, prior_entropy: 0.7932, recall: 0.9213, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5933, scimark_benchmark: 1059.8591, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,

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