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Supervised Classification on meta_instanceincremental.arff

Supervised Classification on meta_instanceincremental.arff

Task 2979 Supervised Classification meta_instanceincremental.arff 176 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7911, kappa: 0.5311, kb_relative_information_score: 341.4441, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7766, predictive_accuracy: 0.8135, prior_entropy: 1.3146, recall: 0.8135, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.8669, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8681, kappa: 0.6977, kb_relative_information_score: 483.0896, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8676, predictive_accuracy: 0.8689, prior_entropy: 1.3146, recall: 0.8689, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.708, scimark_benchmark: 851.2074, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 325.2913, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9271, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7909, kappa: 0.5203, kb_relative_information_score: 309.3111, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8014, predictive_accuracy: 0.8311, prior_entropy: 1.3146, recall: 0.8311, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.7697, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8857, kappa: 0.7273, kb_relative_information_score: 407.6352, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.9092, predictive_accuracy: 0.8973, prior_entropy: 1.3146, recall: 0.8973, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6379, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 325.2913, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9271, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8372, kappa: 0.632, kb_relative_information_score: 386.3914, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8381, predictive_accuracy: 0.8365, prior_entropy: 1.3146, recall: 0.8365, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8092, scimark_benchmark: 974.2014, usercpu_time_millis: 1640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8857, kappa: 0.7273, kb_relative_information_score: 407.6352, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.9092, predictive_accuracy: 0.8973, prior_entropy: 1.3146, recall: 0.8973, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6379, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7911, kappa: 0.5311, kb_relative_information_score: 341.4441, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7766, predictive_accuracy: 0.8135, prior_entropy: 1.3146, recall: 0.8135, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.8669, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.868, kappa: 0.6976, kb_relative_information_score: 483.8901, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8674, predictive_accuracy: 0.8689, prior_entropy: 1.3146, recall: 0.8689, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.7065, scimark_benchmark: 936.2574, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 325.2913, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9271, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 325.2913, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9271, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8295, kappa: 0.6201, kb_relative_information_score: 417.5559, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8331, predictive_accuracy: 0.827, prior_entropy: 1.3146, recall: 0.827, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8159, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7909, kappa: 0.5203, kb_relative_information_score: 309.3111, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8014, predictive_accuracy: 0.8311, prior_entropy: 1.3146, recall: 0.8311, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.7697, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8372, kappa: 0.632, kb_relative_information_score: 386.3914, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8381, predictive_accuracy: 0.8365, prior_entropy: 1.3146, recall: 0.8365, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8092, scimark_benchmark: 935.5664, usercpu_time_millis: 1420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8857, kappa: 0.7273, kb_relative_information_score: 407.6352, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.9092, predictive_accuracy: 0.8973, prior_entropy: 1.3146, recall: 0.8973, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6379, scimark_benchmark: 1051.249, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8897, kappa: 0.7401, kb_relative_information_score: 420.3618, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.9009, predictive_accuracy: 0.8973, prior_entropy: 1.3146, recall: 0.8973, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6221, scimark_benchmark: 833.4972, usercpu_time_millis: 3840, usercpu_time_millis_testing: 1620, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8901, kappa: 0.7422, kb_relative_information_score: 422.0577, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8999, predictive_accuracy: 0.8973, prior_entropy: 1.3146, recall: 0.8973, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.6234, scimark_benchmark: 942.2392, usercpu_time_millis: 1470, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8721, kappa: 0.7018, kb_relative_information_score: 420.3046, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8872, predictive_accuracy: 0.8838, prior_entropy: 1.3146, recall: 0.8838, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.6298, scimark_benchmark: 945.2015, usercpu_time_millis: 640, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.881, kappa: 0.7266, kb_relative_information_score: 413.4105, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8948, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.214, root_relative_squared_error: 0.6452, scimark_benchmark: 935.0213, usercpu_time_millis: 310, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8794, kappa: 0.7256, kb_relative_information_score: 413.0195, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8904, predictive_accuracy: 0.8892, prior_entropy: 1.3146, recall: 0.8892, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.6561, scimark_benchmark: 936.7286, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4165, f_measure: 0.6157, kb_relative_information_score: -7.1747, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.5325, predictive_accuracy: 0.7297, prior_entropy: 1.3146, recall: 0.7297, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.003, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7451, kappa: 0.4632, kb_relative_information_score: 188.278, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.6894, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.8418, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7451, kappa: 0.4632, kb_relative_information_score: 188.278, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.6894, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.8418, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7451, kappa: 0.4632, kb_relative_information_score: 188.278, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.6894, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.8418, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7438, kappa: 0.4581, kb_relative_information_score: 189.0769, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.6881, predictive_accuracy: 0.8095, prior_entropy: 1.3146, recall: 0.8095, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.8418, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7195, kappa: 0.3412, kb_relative_information_score: 280.0498, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.777, predictive_accuracy: 0.7878, prior_entropy: 1.3146, recall: 0.7878, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.9347, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6157, kb_relative_information_score: 180.9993, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.5325, predictive_accuracy: 0.7297, prior_entropy: 1.3146, recall: 0.7297, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.1081, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8383, kappa: 0.6223, kb_relative_information_score: 431.2688, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8375, predictive_accuracy: 0.8419, prior_entropy: 1.3146, recall: 0.8419, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7189, scimark_benchmark: 906.0884, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8865, kappa: 0.7359, kb_relative_information_score: 416.3539, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8924, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.6425, scimark_benchmark: 911.442, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8857, kappa: 0.7273, kb_relative_information_score: 407.6352, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.9092, predictive_accuracy: 0.8973, prior_entropy: 1.3146, recall: 0.8973, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6379, scimark_benchmark: 1325.6322, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7911, kappa: 0.5311, kb_relative_information_score: 341.4441, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7766, predictive_accuracy: 0.8135, prior_entropy: 1.3146, recall: 0.8135, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.8669, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8733, kappa: 0.705, kb_relative_information_score: 486.8744, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8759, predictive_accuracy: 0.8757, prior_entropy: 1.3146, recall: 0.8757, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6944, scimark_benchmark: 1278.9821, usercpu_time_millis: 310, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 325.2913, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9271, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8372, kappa: 0.632, kb_relative_information_score: 386.3914, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8381, predictive_accuracy: 0.8365, prior_entropy: 1.3146, recall: 0.8365, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8092, scimark_benchmark: 1325.5735, usercpu_time_millis: 1590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8857, kappa: 0.7273, kb_relative_information_score: 407.6352, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.9092, predictive_accuracy: 0.8973, prior_entropy: 1.3146, recall: 0.8973, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6379, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7911, kappa: 0.5311, kb_relative_information_score: 341.4441, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7766, predictive_accuracy: 0.8135, prior_entropy: 1.3146, recall: 0.8135, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.8669, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8295, kappa: 0.6201, kb_relative_information_score: 417.5559, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8331, predictive_accuracy: 0.827, prior_entropy: 1.3146, recall: 0.827, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8159, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7911, kappa: 0.5311, kb_relative_information_score: 341.4441, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7766, predictive_accuracy: 0.8135, prior_entropy: 1.3146, recall: 0.8135, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.8669, scimark_benchmark: 1329.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8372, kappa: 0.632, kb_relative_information_score: 386.3914, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8381, predictive_accuracy: 0.8365, prior_entropy: 1.3146, recall: 0.8365, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8092, scimark_benchmark: 1312.0581, usercpu_time_millis: 1450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8751, kappa: 0.71, kb_relative_information_score: 483.8977, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 1.3146, recall: 0.877, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7018, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.6781, kappa: 0.3504, kb_relative_information_score: 191.4326, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7249, predictive_accuracy: 0.6554, prior_entropy: 1.3146, recall: 0.6554, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.2513, scimark_benchmark: 1352.2099, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8705, kappa: 0.6952, kb_relative_information_score: 486.871, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8724, predictive_accuracy: 0.873, prior_entropy: 1.3146, recall: 0.873, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7227, scimark_benchmark: 1342.3004, usercpu_time_millis: 470, usercpu_time_millis_testing: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8681, kappa: 0.6977, kb_relative_information_score: 483.0896, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8676, predictive_accuracy: 0.8689, prior_entropy: 1.3146, recall: 0.8689, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.708, scimark_benchmark: 1301.2156, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7911, kappa: 0.5311, kb_relative_information_score: 341.4441, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.7766, predictive_accuracy: 0.8135, prior_entropy: 1.3146, recall: 0.8135, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.8669, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7969, kappa: 0.5316, kb_relative_information_score: 337.3007, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8076, predictive_accuracy: 0.8122, prior_entropy: 1.3146, recall: 0.8122, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.872, scimark_benchmark: 1357.483, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8926, kappa: 0.7507, kb_relative_information_score: 478.6884, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.893, predictive_accuracy: 0.8946, prior_entropy: 1.3146, recall: 0.8946, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.635, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs