Task
Supervised Classification on biomed

Supervised Classification on biomed

Task 4275 Supervised Classification biomed 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.859, kappa: 0.6901, kb_relative_information_score: 1311.784, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8605, predictive_accuracy: 0.8612, prior_entropy: 0.9428, recall: 0.8612, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7193, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8835, kappa: 0.7454, kb_relative_information_score: 1352.9954, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8834, predictive_accuracy: 0.8842, prior_entropy: 0.9428, recall: 0.8842, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6005, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.895, kappa: 0.7715, kb_relative_information_score: 1481.0201, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8949, predictive_accuracy: 0.8952, prior_entropy: 0.9428, recall: 0.8952, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5965, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9066, kappa: 0.7946, kb_relative_information_score: 1591.7891, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9094, predictive_accuracy: 0.9081, prior_entropy: 0.9428, recall: 0.9081, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5691, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8885, kappa: 0.7548, kb_relative_information_score: 1273.9953, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8911, predictive_accuracy: 0.8904, prior_entropy: 0.9428, recall: 0.8904, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6101, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8722, kappa: 0.7196, kb_relative_information_score: 1354.8045, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8729, predictive_accuracy: 0.8737, prior_entropy: 0.9428, recall: 0.8737, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6077, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8942, kappa: 0.7677, kb_relative_information_score: 1500.5797, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8958, predictive_accuracy: 0.8957, prior_entropy: 0.9428, recall: 0.8957, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6174, scimark_benchmark: 927.2917, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.501, kb_relative_information_score: 403.1725, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2489, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.501, kb_relative_information_score: 403.1725, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2489, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9111, kappa: 0.8047, kb_relative_information_score: 1432.8453, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9134, predictive_accuracy: 0.9124, prior_entropy: 0.9428, recall: 0.9124, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5455, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.859, kappa: 0.6901, kb_relative_information_score: 1311.784, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8605, predictive_accuracy: 0.8612, prior_entropy: 0.9428, recall: 0.8612, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7193, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8835, kappa: 0.7454, kb_relative_information_score: 1352.9954, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8834, predictive_accuracy: 0.8842, prior_entropy: 0.9428, recall: 0.8842, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6005, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.895, kappa: 0.7715, kb_relative_information_score: 1481.0201, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8949, predictive_accuracy: 0.8952, prior_entropy: 0.9428, recall: 0.8952, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5965, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.501, kb_relative_information_score: 403.1725, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2489, scimark_benchmark: 927.2882, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.501, kb_relative_information_score: 403.1725, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2489, scimark_benchmark: 906.0979, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9066, kappa: 0.7946, kb_relative_information_score: 1591.7891, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9094, predictive_accuracy: 0.9081, prior_entropy: 0.9428, recall: 0.9081, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5691, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8885, kappa: 0.7548, kb_relative_information_score: 1273.9953, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8911, predictive_accuracy: 0.8904, prior_entropy: 0.9428, recall: 0.8904, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6101, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8722, kappa: 0.7196, kb_relative_information_score: 1354.8045, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8729, predictive_accuracy: 0.8737, prior_entropy: 0.9428, recall: 0.8737, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6077, scimark_benchmark: 905.2959, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9111, kappa: 0.8047, kb_relative_information_score: 1432.8453, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9134, predictive_accuracy: 0.9124, prior_entropy: 0.9428, recall: 0.9124, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5455, scimark_benchmark: 936.3213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9171, kappa: 0.8176, kb_relative_information_score: 1423.4927, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.921, predictive_accuracy: 0.9187, prior_entropy: 0.9428, recall: 0.9187, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5289, scimark_benchmark: 938.1282, usercpu_time_millis: 1250, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9153, kappa: 0.8136, kb_relative_information_score: 1426.4745, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9186, predictive_accuracy: 0.9167, prior_entropy: 0.9428, recall: 0.9167, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5275, scimark_benchmark: 934.695, usercpu_time_millis: 440, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9133, kappa: 0.8093, kb_relative_information_score: 1423.8078, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9166, predictive_accuracy: 0.9148, prior_entropy: 0.9428, recall: 0.9148, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5317, scimark_benchmark: 899.0468, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9109, kappa: 0.804, kb_relative_information_score: 1417.9704, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.914, predictive_accuracy: 0.9124, prior_entropy: 0.9428, recall: 0.9124, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.259, root_relative_squared_error: 0.54, scimark_benchmark: 945.2015, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9049, kappa: 0.7912, kb_relative_information_score: 1409.8989, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9067, predictive_accuracy: 0.9062, prior_entropy: 0.9428, recall: 0.9062, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5541, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9046, kappa: 0.7916, kb_relative_information_score: 1594.6433, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9048, predictive_accuracy: 0.9053, prior_entropy: 0.9428, recall: 0.9053, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5724, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9046, kappa: 0.7916, kb_relative_information_score: 1594.6433, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9048, predictive_accuracy: 0.9053, prior_entropy: 0.9428, recall: 0.9053, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5724, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9046, kappa: 0.7916, kb_relative_information_score: 1594.6433, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9048, predictive_accuracy: 0.9053, prior_entropy: 0.9428, recall: 0.9053, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5724, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9046, kappa: 0.7916, kb_relative_information_score: 1594.8085, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9048, predictive_accuracy: 0.9053, prior_entropy: 0.9428, recall: 0.9053, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5723, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9036, kappa: 0.7892, kb_relative_information_score: 1588.1638, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9039, predictive_accuracy: 0.9043, prior_entropy: 0.9428, recall: 0.9043, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5743, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.501, kb_relative_information_score: -2.4187, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.0003, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9111, kappa: 0.8045, kb_relative_information_score: 1670.7814, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9136, predictive_accuracy: 0.9124, prior_entropy: 0.9428, recall: 0.9124, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5924, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.859, kappa: 0.6901, kb_relative_information_score: 1311.784, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8605, predictive_accuracy: 0.8612, prior_entropy: 0.9428, recall: 0.8612, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7193, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8835, kappa: 0.7454, kb_relative_information_score: 1352.9954, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8834, predictive_accuracy: 0.8842, prior_entropy: 0.9428, recall: 0.8842, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6005, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8885, kappa: 0.7548, kb_relative_information_score: 1273.9953, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8911, predictive_accuracy: 0.8904, prior_entropy: 0.9428, recall: 0.8904, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6101, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8722, kappa: 0.7196, kb_relative_information_score: 1354.8047, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8729, predictive_accuracy: 0.8737, prior_entropy: 0.9428, recall: 0.8737, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6077, scimark_benchmark: 1331.7953, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8722, kappa: 0.7196, kb_relative_information_score: 1354.8047, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8729, predictive_accuracy: 0.8737, prior_entropy: 0.9428, recall: 0.8737, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6077, scimark_benchmark: 1344.3409, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8835, kappa: 0.7454, kb_relative_information_score: 1352.9954, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8834, predictive_accuracy: 0.8842, prior_entropy: 0.9428, recall: 0.8842, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6005, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9066, kappa: 0.7946, kb_relative_information_score: 1591.7891, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9094, predictive_accuracy: 0.9081, prior_entropy: 0.9428, recall: 0.9081, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5691, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9077, kappa: 0.7972, kb_relative_information_score: 1566.7324, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9099, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5687, scimark_benchmark: 1313.5633,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8942, kappa: 0.7677, kb_relative_information_score: 1500.5797, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8958, predictive_accuracy: 0.8957, prior_entropy: 0.9428, recall: 0.8957, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6174, scimark_benchmark: 1340.9749, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9111, kappa: 0.8047, kb_relative_information_score: 1432.8453, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.9134, predictive_accuracy: 0.9124, prior_entropy: 0.9428, recall: 0.9124, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5455, scimark_benchmark: 1317.5348, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8835, kappa: 0.7454, kb_relative_information_score: 1352.9954, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8834, predictive_accuracy: 0.8842, prior_entropy: 0.9428, recall: 0.8842, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6005, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.895, kappa: 0.7715, kb_relative_information_score: 1481.0201, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4605, number_of_instances: 2090, precision: 0.8949, predictive_accuracy: 0.8952, prior_entropy: 0.9428, recall: 0.8952, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5965, scimark_benchmark: 1344.0499, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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