Task
Supervised Classification on ar3

Supervised Classification on ar3

Task 4615 Supervised Classification ar3 204 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.8823, kappa: 0.4252, kb_relative_information_score: 183.2687, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8797, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9616, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.2947, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9133, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.8876, kappa: 0.4738, kb_relative_information_score: 224.27, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8846, predictive_accuracy: 0.8921, prior_entropy: 0.5802, recall: 0.8921, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.9417, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.865, kappa: 0.3308, kb_relative_information_score: 135.5443, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8606, predictive_accuracy: 0.881, prior_entropy: 0.5802, recall: 0.881, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8752, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.8748, kappa: 0.3724, kb_relative_information_score: 170.1101, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8755, predictive_accuracy: 0.8921, prior_entropy: 0.5802, recall: 0.8921, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.8843, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.8845, kappa: 0.4373, kb_relative_information_score: 176.4506, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.882, predictive_accuracy: 0.8952, prior_entropy: 0.5802, recall: 0.8952, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9428, scimark_benchmark: 944.1067, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 936.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.9035, kappa: 0.5404, kb_relative_information_score: 160.4752, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9016, predictive_accuracy: 0.9095, prior_entropy: 0.5802, recall: 0.9095, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8365, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.8823, kappa: 0.4252, kb_relative_information_score: 183.2687, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8797, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9616, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.7078, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9149, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.8876, kappa: 0.4738, kb_relative_information_score: 224.27, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8846, predictive_accuracy: 0.8921, prior_entropy: 0.5802, recall: 0.8921, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.9417, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9212, kappa: 0.6551, kb_relative_information_score: 326.7719, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9243, predictive_accuracy: 0.919, prior_entropy: 0.5802, recall: 0.919, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.85, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.865, kappa: 0.3308, kb_relative_information_score: 135.5443, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8606, predictive_accuracy: 0.881, prior_entropy: 0.5802, recall: 0.881, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8752, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.8748, kappa: 0.3724, kb_relative_information_score: 170.1101, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8755, predictive_accuracy: 0.8921, prior_entropy: 0.5802, recall: 0.8921, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.8843, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.8845, kappa: 0.4373, kb_relative_information_score: 176.4506, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.882, predictive_accuracy: 0.8952, prior_entropy: 0.5802, recall: 0.8952, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9428, scimark_benchmark: 942.2392, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.9035, kappa: 0.5404, kb_relative_information_score: 160.4752, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9016, predictive_accuracy: 0.9095, prior_entropy: 0.5802, recall: 0.9095, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8365, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.8985, kappa: 0.5055, kb_relative_information_score: 200.1147, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8982, predictive_accuracy: 0.9079, prior_entropy: 0.5802, recall: 0.9079, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8249, scimark_benchmark: 819.5729, usercpu_time_millis: 1370, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.8966, kappa: 0.5012, kb_relative_information_score: 196.5658, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8949, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.8283, scimark_benchmark: 919.9068, usercpu_time_millis: 670, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.9118, kappa: 0.5734, kb_relative_information_score: 197.2881, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9122, predictive_accuracy: 0.919, prior_entropy: 0.5802, recall: 0.919, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8272, scimark_benchmark: 942.2392, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.9042, kappa: 0.5401, kb_relative_information_score: 204.1488, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9029, predictive_accuracy: 0.9111, prior_entropy: 0.5802, recall: 0.9111, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.8245, scimark_benchmark: 917.2109, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.9008, kappa: 0.5299, kb_relative_information_score: 195.2533, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8985, predictive_accuracy: 0.9063, prior_entropy: 0.5802, recall: 0.9063, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.8391, scimark_benchmark: 920.5394, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.8853, kappa: 0.4328, kb_relative_information_score: 190.0101, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8851, predictive_accuracy: 0.8984, prior_entropy: 0.5802, recall: 0.8984, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.9373, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.8853, kappa: 0.4328, kb_relative_information_score: 190.0101, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8851, predictive_accuracy: 0.8984, prior_entropy: 0.5802, recall: 0.8984, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.9373, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.8853, kappa: 0.4328, kb_relative_information_score: 190.0101, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8851, predictive_accuracy: 0.8984, prior_entropy: 0.5802, recall: 0.8984, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.9373, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.8853, kappa: 0.4328, kb_relative_information_score: 190.0101, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8851, predictive_accuracy: 0.8984, prior_entropy: 0.5802, recall: 0.8984, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.9373, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.8853, kappa: 0.4328, kb_relative_information_score: 190.0565, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8851, predictive_accuracy: 0.8984, prior_entropy: 0.5802, recall: 0.8984, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.937, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3739, f_measure: 0.8138, kb_relative_information_score: -27.0154, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0039, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.8811, kappa: 0.4321, kb_relative_information_score: 229.0406, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8772, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.991, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.8845, kappa: 0.4484, kb_relative_information_score: 242.2239, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.881, predictive_accuracy: 0.8921, prior_entropy: 0.5802, recall: 0.8921, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9746, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.8867, kappa: 0.4494, kb_relative_information_score: 255.765, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8843, predictive_accuracy: 0.8968, prior_entropy: 0.5802, recall: 0.8968, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9534, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.8926, kappa: 0.4858, kb_relative_information_score: 265.1911, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8899, predictive_accuracy: 0.9, prior_entropy: 0.5802, recall: 0.9, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.937, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.8748, kappa: 0.3724, kb_relative_information_score: 170.1101, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8755, predictive_accuracy: 0.8921, prior_entropy: 0.5802, recall: 0.8921, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.8843, scimark_benchmark: 1318.4315, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.8845, kappa: 0.4373, kb_relative_information_score: 176.4506, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.882, predictive_accuracy: 0.8952, prior_entropy: 0.5802, recall: 0.8952, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9428, scimark_benchmark: 1331.4379, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9212, kappa: 0.6551, kb_relative_information_score: 326.7719, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9243, predictive_accuracy: 0.919, prior_entropy: 0.5802, recall: 0.919, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.85, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.8845, kappa: 0.4373, kb_relative_information_score: 176.4506, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.882, predictive_accuracy: 0.8952, prior_entropy: 0.5802, recall: 0.8952, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9428, scimark_benchmark: 1322.1893, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.9035, kappa: 0.5404, kb_relative_information_score: 160.4752, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9016, predictive_accuracy: 0.9095, prior_entropy: 0.5802, recall: 0.9095, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8365, scimark_benchmark: 1350.036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.8206, kappa: 0.2293, kb_relative_information_score: -81.9748, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8298, predictive_accuracy: 0.8127, prior_entropy: 0.5802, recall: 0.8127, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.2131, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.8896, kappa: 0.4846, kb_relative_information_score: 226.9955, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8868, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.9375, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1352.9931, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1333.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1296.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1331.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1349.0046, 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: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1350.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.8845, kappa: 0.4373, kb_relative_information_score: 176.4506, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.882, predictive_accuracy: 0.8952, prior_entropy: 0.5802, recall: 0.8952, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9428, scimark_benchmark: 1281.7531, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 935.5075,

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