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Supervised Classification on vote

Supervised Classification on vote

Task 1935 Supervised Classification vote 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3855.2755, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3521, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9653, kappa: 0.927, kb_relative_information_score: 3759.5565, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9654, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3421, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9634, kappa: 0.9229, kb_relative_information_score: 3855.243, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9627, recall: 0.9634, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3428, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 3936.5343, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9573, predictive_accuracy: 0.9561, prior_entropy: 0.9627, recall: 0.9561, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4304, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 3936.5343, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9573, predictive_accuracy: 0.9561, prior_entropy: 0.9627, recall: 0.9561, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4304, scimark_benchmark: 941.3142, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9009, kappa: 0.793, kb_relative_information_score: 3405.9775, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9038, predictive_accuracy: 0.9002, prior_entropy: 0.9627, recall: 0.9002, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6218, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9567, kappa: 0.9089, kb_relative_information_score: 3750.795, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9571, predictive_accuracy: 0.9566, prior_entropy: 0.9627, recall: 0.9566, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3673, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9612, kappa: 0.9181, kb_relative_information_score: 3801.084, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9627, recall: 0.9611, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.37, scimark_benchmark: 943.8235, usercpu_time_millis: 5270, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 931.771, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 3936.5343, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9573, predictive_accuracy: 0.9561, prior_entropy: 0.9627, recall: 0.9561, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4304, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9009, kappa: 0.793, kb_relative_information_score: 3405.9775, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9038, predictive_accuracy: 0.9002, prior_entropy: 0.9627, recall: 0.9002, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6218, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 3797.4647, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.414, scimark_benchmark: 947.1781, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 943.1009, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3855.2755, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3521, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9653, kappa: 0.927, kb_relative_information_score: 3759.5565, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9654, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3421, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9634, kappa: 0.9229, kb_relative_information_score: 3855.243, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9627, recall: 0.9634, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3428, scimark_benchmark: 608.4057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 3936.5343, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9573, predictive_accuracy: 0.9561, prior_entropy: 0.9627, recall: 0.9561, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4304, scimark_benchmark: 730.6551, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 3936.5343, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9573, predictive_accuracy: 0.9561, prior_entropy: 0.9627, recall: 0.9561, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4304, scimark_benchmark: 906.0979, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9567, kappa: 0.9089, kb_relative_information_score: 3750.795, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9571, predictive_accuracy: 0.9566, prior_entropy: 0.9627, recall: 0.9566, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3673, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9612, kappa: 0.9181, kb_relative_information_score: 3801.084, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9627, recall: 0.9611, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.37, scimark_benchmark: 906.0979, usercpu_time_millis: 3300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 3797.4647, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.414, scimark_benchmark: 936.3213, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 936.9595, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9633, kappa: 0.9226, kb_relative_information_score: 3741.2678, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9634, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3533, scimark_benchmark: 940.1221, usercpu_time_millis: 4480, usercpu_time_millis_testing: 2370, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9635, kappa: 0.9231, kb_relative_information_score: 3743.975, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9636, predictive_accuracy: 0.9634, prior_entropy: 0.9627, recall: 0.9634, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3534, scimark_benchmark: 942.2392, usercpu_time_millis: 1910, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9646, kappa: 0.9255, kb_relative_information_score: 3739.8244, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9648, predictive_accuracy: 0.9646, prior_entropy: 0.9627, recall: 0.9646, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3541, scimark_benchmark: 931.6751, usercpu_time_millis: 790, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9619, kappa: 0.9197, kb_relative_information_score: 3719.6627, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.962, predictive_accuracy: 0.9618, prior_entropy: 0.9627, recall: 0.9618, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3615, scimark_benchmark: 942.5233, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9621, kappa: 0.9202, kb_relative_information_score: 3743.7901, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9623, predictive_accuracy: 0.9621, prior_entropy: 0.9627, recall: 0.9621, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3611, scimark_benchmark: 941.9549, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.955, kappa: 0.9051, kb_relative_information_score: 3860.7996, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.955, predictive_accuracy: 0.9549, prior_entropy: 0.9627, recall: 0.9549, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3768, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.955, kappa: 0.9051, kb_relative_information_score: 3860.7996, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.955, predictive_accuracy: 0.9549, prior_entropy: 0.9627, recall: 0.9549, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3768, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 3797.4647, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.414, scimark_benchmark: 1375.1578, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 1317.5857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9612, kappa: 0.9181, kb_relative_information_score: 3801.0841, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9627, recall: 0.9611, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.37, scimark_benchmark: 1332.6745, usercpu_time_millis: 2720, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 3797.4647, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.414, scimark_benchmark: 1327.8694, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 1310.6554, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9653, kappa: 0.927, kb_relative_information_score: 3759.5565, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9654, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3421, scimark_benchmark: 1319.5773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9575, kappa: 0.9102, kb_relative_information_score: 3875.3314, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.9627, recall: 0.9575, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4047, scimark_benchmark: 1334.7507, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9634, kappa: 0.9229, kb_relative_information_score: 3855.243, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9627, recall: 0.9634, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3428, scimark_benchmark: 1338.6772, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 1342.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9612, kappa: 0.9181, kb_relative_information_score: 3801.0841, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9627, recall: 0.9611, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.37, scimark_benchmark: 1333.9878, usercpu_time_millis: 2400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 1365.0842, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 3797.4647, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.414, scimark_benchmark: 1314.2279, usercpu_time_millis: 400, usercpu_time_millis_training: 400,

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