OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 1886 Supervised Classification letter 174 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7888, kappa: 0.7801, kb_relative_information_score: 160972.3715, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7898, predictive_accuracy: 0.7886, prior_entropy: 4.6998, recall: 0.7886, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5954, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.4925, kappa: 0.4914, kb_relative_information_score: 100431.8101, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.5116, predictive_accuracy: 0.511, prior_entropy: 4.6998, recall: 0.511, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.8247, scimark_benchmark: 851.2074, usercpu_time_millis: 59040, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 58950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9752, kappa: 0.9742, kb_relative_information_score: 194969.8637, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.6998, recall: 0.9752, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2271, scimark_benchmark: 941.3142, usercpu_time_millis: 121050, usercpu_time_millis_testing: 72700, usercpu_time_millis_training: 48350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 941.6675, usercpu_time_millis: 950, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 941.6675, usercpu_time_millis: 730, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9016, kappa: 0.8974, kb_relative_information_score: 177879.4643, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9024, predictive_accuracy: 0.9014, prior_entropy: 4.6998, recall: 0.9014, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.409, scimark_benchmark: 941.6675, usercpu_time_millis: 4580, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 4310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 184644.723, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9644, predictive_accuracy: 0.9641, prior_entropy: 4.6998, recall: 0.9641, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3236, scimark_benchmark: 931.771, usercpu_time_millis: 14550, usercpu_time_millis_testing: 2440, usercpu_time_millis_training: 12110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9752, kappa: 0.9742, kb_relative_information_score: 194969.8637, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.6998, recall: 0.9752, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2271, scimark_benchmark: 974.2014, usercpu_time_millis: 115610, usercpu_time_millis_testing: 65000, usercpu_time_millis_training: 50610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8664, kappa: 0.8608, kb_relative_information_score: 159896.8446, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8668, predictive_accuracy: 0.8661, prior_entropy: 4.6998, recall: 0.8661, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5028, scimark_benchmark: 938.5498, usercpu_time_millis: 177960, usercpu_time_millis_testing: 7390, usercpu_time_millis_training: 170570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 184644.723, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9644, predictive_accuracy: 0.9641, prior_entropy: 4.6998, recall: 0.9641, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3236, scimark_benchmark: 943.1009, usercpu_time_millis: 15040, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 12970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7888, kappa: 0.7801, kb_relative_information_score: 160972.3715, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7898, predictive_accuracy: 0.7886, prior_entropy: 4.6998, recall: 0.7886, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5954, scimark_benchmark: 819.5729, usercpu_time_millis: 920, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.4925, kappa: 0.4914, kb_relative_information_score: 100431.8101, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.5116, predictive_accuracy: 0.511, prior_entropy: 4.6998, recall: 0.511, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.8247, scimark_benchmark: 936.2574, usercpu_time_millis: 56600, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 56510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9752, kappa: 0.9742, kb_relative_information_score: 194969.8637, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.6998, recall: 0.9752, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2271, scimark_benchmark: 932.438, usercpu_time_millis: 130480, usercpu_time_millis_testing: 66940, usercpu_time_millis_training: 63540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9752, kappa: 0.9742, kb_relative_information_score: 194969.8637, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.6998, recall: 0.9752, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2271, scimark_benchmark: 930.404, usercpu_time_millis: 103200, usercpu_time_millis_testing: 55330, usercpu_time_millis_training: 47870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 938.1282, usercpu_time_millis: 750, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 938.1282, usercpu_time_millis: 720, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 930.404, usercpu_time_millis: 760, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9016, kappa: 0.8974, kb_relative_information_score: 177879.4643, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9024, predictive_accuracy: 0.9014, prior_entropy: 4.6998, recall: 0.9014, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.409, scimark_benchmark: 933.3455, usercpu_time_millis: 3530, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 944.0133, usercpu_time_millis: 810, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8664, kappa: 0.8608, kb_relative_information_score: 159896.8446, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8668, predictive_accuracy: 0.8661, prior_entropy: 4.6998, recall: 0.8661, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5028, scimark_benchmark: 936.9595, usercpu_time_millis: 180510, usercpu_time_millis_testing: 7630, usercpu_time_millis_training: 172880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 184644.723, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9644, predictive_accuracy: 0.9641, prior_entropy: 4.6998, recall: 0.9641, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3236, scimark_benchmark: 901.4991, usercpu_time_millis: 14270, usercpu_time_millis_testing: 2100, usercpu_time_millis_training: 12170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9726, kappa: 0.9715, kb_relative_information_score: 183876.4029, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9728, predictive_accuracy: 0.9726, prior_entropy: 4.6998, recall: 0.9726, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.3216, scimark_benchmark: 1171.0303, usercpu_time_millis: 1300530, usercpu_time_millis_testing: 133290, usercpu_time_millis_training: 1167240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9718, kappa: 0.9707, kb_relative_information_score: 183845.9027, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.972, predictive_accuracy: 0.9718, prior_entropy: 4.6998, recall: 0.9718, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3233, scimark_benchmark: 941.4991, usercpu_time_millis: 316270, usercpu_time_millis_testing: 38350, usercpu_time_millis_training: 277920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9688, kappa: 0.9675, kb_relative_information_score: 183720.8037, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 4.6998, recall: 0.9687, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.3273, scimark_benchmark: 945.5968, usercpu_time_millis: 124220, usercpu_time_millis_testing: 10760, usercpu_time_millis_training: 113460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9633, kappa: 0.9618, kb_relative_information_score: 183430.1333, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 4.6998, recall: 0.9632, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.3357, scimark_benchmark: 932.4744, usercpu_time_millis: 60240, usercpu_time_millis_testing: 5460, usercpu_time_millis_training: 54780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9524, kappa: 0.9505, kb_relative_information_score: 182822.5062, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9526, predictive_accuracy: 0.9524, prior_entropy: 4.6998, recall: 0.9524, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.3514, scimark_benchmark: 889.4922, usercpu_time_millis: 40580, usercpu_time_millis_testing: 3140, usercpu_time_millis_training: 37440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.7107, kappa: 0.6991, kb_relative_information_score: 145249.0956, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7115, predictive_accuracy: 0.7107, prior_entropy: 4.6998, recall: 0.7107, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.649, scimark_benchmark: 936.1714, usercpu_time_millis: 16150, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 15220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.0115, kappa: 0.0329, kb_relative_information_score: 24455.2313, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.0082, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.0115, kappa: 0.0329, kb_relative_information_score: 24455.2313, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.0082, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 935.6052, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.0115, kappa: 0.0329, kb_relative_information_score: 24455.2313, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.0082, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 940.0055, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.0115, kappa: 0.0329, kb_relative_information_score: 24455.2313, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.0082, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.0115, kappa: 0.0329, kb_relative_information_score: 24455.2313, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.0082, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 941.9549, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0032, kb_relative_information_score: 5686.6213, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9269, kappa: 0.9239, kb_relative_information_score: 182012.0134, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9271, predictive_accuracy: 0.9268, prior_entropy: 4.6998, recall: 0.9268, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.3659, scimark_benchmark: 899.1108, usercpu_time_millis: 1064430, usercpu_time_millis_testing: 2800, usercpu_time_millis_training: 1061630,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8664, kappa: 0.8608, kb_relative_information_score: 159896.8446, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8668, predictive_accuracy: 0.8661, prior_entropy: 4.6998, recall: 0.8661, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5028, scimark_benchmark: 1313.8988, usercpu_time_millis: 305370, usercpu_time_millis_testing: 25280, usercpu_time_millis_training: 280090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 1309.2287, usercpu_time_millis: 670, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 1333.0982, usercpu_time_millis: 650, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 1331.1314, usercpu_time_millis: 560, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 1317.6232, usercpu_time_millis: 580, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 184644.723, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9644, predictive_accuracy: 0.9641, prior_entropy: 4.6998, recall: 0.9641, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3236, scimark_benchmark: 1354.5533, usercpu_time_millis: 12250, usercpu_time_millis_testing: 1720, usercpu_time_millis_training: 10530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.5635, kappa: 0.5495, kb_relative_information_score: 112205.7322, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.5644, predictive_accuracy: 0.5669, prior_entropy: 4.6998, recall: 0.5669, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.9492, scimark_benchmark: 1310.6554, usercpu_time_millis: 54840, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 54780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8664, kappa: 0.8608, kb_relative_information_score: 159896.8446, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8668, predictive_accuracy: 0.8661, prior_entropy: 4.6998, recall: 0.8661, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5028, scimark_benchmark: 1327.5201, usercpu_time_millis: 303560, usercpu_time_millis_testing: 25440, usercpu_time_millis_training: 278120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.4925, kappa: 0.4914, kb_relative_information_score: 100431.8101, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.5116, predictive_accuracy: 0.511, prior_entropy: 4.6998, recall: 0.511, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.8247, scimark_benchmark: 1342.2845, usercpu_time_millis: 45830, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 45740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8664, kappa: 0.8608, kb_relative_information_score: 159896.8446, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8668, predictive_accuracy: 0.8661, prior_entropy: 4.6998, recall: 0.8661, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5028, scimark_benchmark: 1267.7714, usercpu_time_millis: 319080, usercpu_time_millis_testing: 26150, usercpu_time_millis_training: 292930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9752, kappa: 0.9742, kb_relative_information_score: 194969.8637, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.6998, recall: 0.9752, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2271, scimark_benchmark: 1346.0226, usercpu_time_millis: 94690, usercpu_time_millis_testing: 55990, usercpu_time_millis_training: 38700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 1317.2327, usercpu_time_millis: 560, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.4925, kappa: 0.4914, kb_relative_information_score: 100431.8101, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.5116, predictive_accuracy: 0.511, prior_entropy: 4.6998, recall: 0.511, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.8247, scimark_benchmark: 1331.7953, usercpu_time_millis: 27680, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 27580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7888, kappa: 0.7801, kb_relative_information_score: 160972.3715, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7898, predictive_accuracy: 0.7886, prior_entropy: 4.6998, recall: 0.7886, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5954, scimark_benchmark: 1313.8988, usercpu_time_millis: 310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9752, kappa: 0.9742, kb_relative_information_score: 194969.8637, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.6998, recall: 0.9752, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2271, scimark_benchmark: 1356.4396, usercpu_time_millis: 194360, usercpu_time_millis_testing: 144170, usercpu_time_millis_training: 50190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 1362.9924, usercpu_time_millis: 590, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 184644.723, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9644, predictive_accuracy: 0.9641, prior_entropy: 4.6998, recall: 0.9641, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3236, scimark_benchmark: 1316.7198, usercpu_time_millis: 12470, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 10290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8664, kappa: 0.8608, kb_relative_information_score: 159896.8446, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8668, predictive_accuracy: 0.8661, prior_entropy: 4.6998, recall: 0.8661, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5028, scimark_benchmark: 940.3347, usercpu_time_millis: 179900, usercpu_time_millis_testing: 7220, usercpu_time_millis_training: 172680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 184644.723, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9644, predictive_accuracy: 0.9641, prior_entropy: 4.6998, recall: 0.9641, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3236, scimark_benchmark: 1322.7257, usercpu_time_millis: 12210, usercpu_time_millis_testing: 2630, usercpu_time_millis_training: 9580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7331, kb_relative_information_score: 155020.1294, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7594, predictive_accuracy: 0.7434, prior_entropy: 4.6998, recall: 0.7434, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6172, scimark_benchmark: 932.5646, usercpu_time_millis: 900, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7331, kb_relative_information_score: 155020.1294, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7594, predictive_accuracy: 0.7434, prior_entropy: 4.6998, recall: 0.7434, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6172, scimark_benchmark: 938.0414, usercpu_time_millis: 830, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 918.0213, usercpu_time_millis: 720, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 918.0213, usercpu_time_millis: 730, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8664, kappa: 0.8608, kb_relative_information_score: 159896.8446, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8668, predictive_accuracy: 0.8661, prior_entropy: 4.6998, recall: 0.8661, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5028, scimark_benchmark: 938.0414, usercpu_time_millis: 175520, usercpu_time_millis_testing: 7310, usercpu_time_millis_training: 168210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7331, kb_relative_information_score: 155020.1294, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7594, predictive_accuracy: 0.7434, prior_entropy: 4.6998, recall: 0.7434, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6172, scimark_benchmark: 1347.993, usercpu_time_millis: 810, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.3824, kappa: 0.3899, kb_relative_information_score: 37078.8043, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.6059, predictive_accuracy: 0.4136, prior_entropy: 4.6998, recall: 0.4136, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 1313.5052, usercpu_time_millis: 1274980, usercpu_time_millis_testing: 1274970, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7331, kb_relative_information_score: 155020.1294, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7594, predictive_accuracy: 0.7434, prior_entropy: 4.6998, recall: 0.7434, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6172, scimark_benchmark: 1380.2233, usercpu_time_millis: 760, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 1335.643, usercpu_time_millis: 640, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7888, kappa: 0.7801, kb_relative_information_score: 160972.3715, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7898, predictive_accuracy: 0.7886, prior_entropy: 4.6998, recall: 0.7886, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5954, scimark_benchmark: 1339.8573, usercpu_time_millis: 380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8657, kappa: 0.86, kb_relative_information_score: 172964.8284, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8665, predictive_accuracy: 0.8654, prior_entropy: 4.6998, recall: 0.8654, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.095, root_relative_squared_error: 0.494, scimark_benchmark: 1327.2954, usercpu_time_millis: 52310, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 52260,

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