Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 1793 Supervised Classification credit-approval 371 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8437, kappa: 0.6832, kb_relative_information_score: 2104.9143, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8439, predictive_accuracy: 0.8441, prior_entropy: 0.9913, recall: 0.8441, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, scimark_benchmark: 851.2074, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 1841.977, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 931.771, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 974.2014, usercpu_time_millis: 490, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 938.5498, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 1841.977, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 943.1009, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 935.2002, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8437, kappa: 0.6832, kb_relative_information_score: 2104.9143, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8439, predictive_accuracy: 0.8441, prior_entropy: 0.9913, recall: 0.8441, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, scimark_benchmark: 936.2574, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 927.2882, usercpu_time_millis: 270, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 933.3455, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4578, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 932.438, usercpu_time_millis: 30330, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 30140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 917.5013, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 1841.977, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 901.4991, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.857, kappa: 0.711, kb_relative_information_score: 2114.3586, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8575, predictive_accuracy: 0.8568, prior_entropy: 0.9913, recall: 0.8568, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6488, scimark_benchmark: 936.2727, usercpu_time_millis: 9910, usercpu_time_millis_testing: 3780, usercpu_time_millis_training: 6130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8596, kappa: 0.7161, kb_relative_information_score: 2115.2571, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.86, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6488, scimark_benchmark: 901.6243, usercpu_time_millis: 4510, usercpu_time_millis_testing: 1580, usercpu_time_millis_training: 2930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8596, kappa: 0.716, kb_relative_information_score: 2120.6471, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8599, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6518, scimark_benchmark: 928.7131, usercpu_time_millis: 1810, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8523, kappa: 0.7013, kb_relative_information_score: 2113.0473, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8526, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6567, scimark_benchmark: 939.7883, usercpu_time_millis: 930, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.852, kappa: 0.7008, kb_relative_information_score: 2097.584, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8524, predictive_accuracy: 0.8519, prior_entropy: 0.9913, recall: 0.8519, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6675, scimark_benchmark: 941.9549, usercpu_time_millis: 510, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8388, kappa: 0.6742, kb_relative_information_score: 2124.4628, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8393, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6992, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8388, kappa: 0.6742, kb_relative_information_score: 2124.4628, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8393, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6992, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8388, kappa: 0.6742, kb_relative_information_score: 2124.4628, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8393, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6992, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8373, kappa: 0.6712, kb_relative_information_score: 2124.0767, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8378, predictive_accuracy: 0.8371, prior_entropy: 0.9913, recall: 0.8371, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6985, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8449, kappa: 0.6865, kb_relative_information_score: 2138.5818, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8455, predictive_accuracy: 0.8446, prior_entropy: 0.9913, recall: 0.8446, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6795, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.3963, kb_relative_information_score: -0.3963, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8604, kappa: 0.7196, kb_relative_information_score: 2459.307, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8649, predictive_accuracy: 0.86, prior_entropy: 0.9913, recall: 0.86, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7075, scimark_benchmark: 936.1714, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1338.5214, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1331.4379, usercpu_time_millis: 48140, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 48000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1333.0982, usercpu_time_millis: 390, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 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