OpenML
Supervised Classification on socmob

Supervised Classification on socmob

Task 4502 Supervised Classification socmob 233 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9324, kappa: 0.8015, kb_relative_information_score: 8175.788, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9321, predictive_accuracy: 0.9332, prior_entropy: 0.7637, recall: 0.9332, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5746, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.928, kappa: 0.7898, kb_relative_information_score: 7288.1055, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9277, predictive_accuracy: 0.9285, prior_entropy: 0.7637, recall: 0.9285, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5493, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.937, kappa: 0.8155, kb_relative_information_score: 8377.035, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9368, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.5167, scimark_benchmark: 934.3687, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9257, kappa: 0.7818, kb_relative_information_score: 8736.5548, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9254, predictive_accuracy: 0.9267, prior_entropy: 0.7637, recall: 0.9267, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.6519, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9257, kappa: 0.7818, kb_relative_information_score: 8736.5548, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9254, predictive_accuracy: 0.9267, prior_entropy: 0.7637, recall: 0.9267, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.6519, scimark_benchmark: 904.0772, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9374, kappa: 0.8175, kb_relative_information_score: 8195.7575, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.5326, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9446, kappa: 0.8387, kb_relative_information_score: 9016.3535, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9445, predictive_accuracy: 0.9449, prior_entropy: 0.7637, recall: 0.9449, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.5175, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9257, kappa: 0.7818, kb_relative_information_score: 8736.5548, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9254, predictive_accuracy: 0.9267, prior_entropy: 0.7637, recall: 0.9267, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.6519, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9257, kappa: 0.7818, kb_relative_information_score: 8736.5548, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9254, predictive_accuracy: 0.9267, prior_entropy: 0.7637, recall: 0.9267, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.6519, scimark_benchmark: 944.1783, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.947, kappa: 0.8446, kb_relative_information_score: 8393.4525, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9469, predictive_accuracy: 0.9477, prior_entropy: 0.7637, recall: 0.9477, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4813, scimark_benchmark: 937.5117, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9324, kappa: 0.8015, kb_relative_information_score: 8175.788, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9321, predictive_accuracy: 0.9332, prior_entropy: 0.7637, recall: 0.9332, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5746, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.928, kappa: 0.7898, kb_relative_information_score: 7288.1055, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9277, predictive_accuracy: 0.9285, prior_entropy: 0.7637, recall: 0.9285, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5493, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.937, kappa: 0.8155, kb_relative_information_score: 8377.035, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9368, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.5167, scimark_benchmark: 936.2574, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9257, kappa: 0.7818, kb_relative_information_score: 8736.5548, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9254, predictive_accuracy: 0.9267, prior_entropy: 0.7637, recall: 0.9267, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.6519, scimark_benchmark: 904.5548, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9374, kappa: 0.8175, kb_relative_information_score: 8195.7575, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.5326, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9372, kappa: 0.8143, kb_relative_information_score: 8371.0596, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9376, predictive_accuracy: 0.9386, prior_entropy: 0.7637, recall: 0.9386, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.5042, scimark_benchmark: 936.3213, usercpu_time_millis: 124980, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 124570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9446, kappa: 0.8387, kb_relative_information_score: 9016.3535, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9445, predictive_accuracy: 0.9449, prior_entropy: 0.7637, recall: 0.9449, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.5175, scimark_benchmark: 936.9595, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.947, kappa: 0.8446, kb_relative_information_score: 8393.4525, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9469, predictive_accuracy: 0.9477, prior_entropy: 0.7637, recall: 0.9477, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4813, scimark_benchmark: 941.4991, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9521, kappa: 0.8592, kb_relative_information_score: 8695.8781, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9522, predictive_accuracy: 0.9528, prior_entropy: 0.7637, recall: 0.9528, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4496, scimark_benchmark: 908.9569, usercpu_time_millis: 15010, usercpu_time_millis_testing: 4160, usercpu_time_millis_training: 10850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9522, kappa: 0.8595, kb_relative_information_score: 8696.611, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9524, predictive_accuracy: 0.9529, prior_entropy: 0.7637, recall: 0.9529, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4506, scimark_benchmark: 934.7923, usercpu_time_millis: 6900, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 5880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9519, kappa: 0.8587, kb_relative_information_score: 8706.1109, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.952, predictive_accuracy: 0.9526, prior_entropy: 0.7637, recall: 0.9526, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4525, scimark_benchmark: 938.1282, usercpu_time_millis: 3200, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9491, kappa: 0.8502, kb_relative_information_score: 8651.4509, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9494, predictive_accuracy: 0.95, prior_entropy: 0.7637, recall: 0.95, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4609, scimark_benchmark: 917.2109, usercpu_time_millis: 1670, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9469, kappa: 0.844, kb_relative_information_score: 8572.3239, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9468, predictive_accuracy: 0.9476, prior_entropy: 0.7637, recall: 0.9476, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4746, scimark_benchmark: 918.0831, usercpu_time_millis: 810, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9303, kappa: 0.7973, kb_relative_information_score: 8681.2907, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9301, predictive_accuracy: 0.9305, prior_entropy: 0.7637, recall: 0.9305, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5479, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9303, kappa: 0.7973, kb_relative_information_score: 8681.2907, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9301, predictive_accuracy: 0.9305, prior_entropy: 0.7637, recall: 0.9305, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5479, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9303, kappa: 0.7973, kb_relative_information_score: 8681.2907, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9301, predictive_accuracy: 0.9305, prior_entropy: 0.7637, recall: 0.9305, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5479, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9303, kappa: 0.7973, kb_relative_information_score: 8681.2907, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9301, predictive_accuracy: 0.9305, prior_entropy: 0.7637, recall: 0.9305, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5479, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9288, kappa: 0.7933, kb_relative_information_score: 8544.8676, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9287, predictive_accuracy: 0.9288, prior_entropy: 0.7637, recall: 0.9288, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5554, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.6816, kb_relative_information_score: -66.9191, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.6061, predictive_accuracy: 0.7785, prior_entropy: 0.7637, recall: 0.7785, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9335, kappa: 0.808, kb_relative_information_score: 8974.3311, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 0.7637, recall: 0.9333, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.6033, scimark_benchmark: 938.3115, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9275, kappa: 0.791, kb_relative_information_score: 8783.9741, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.928, predictive_accuracy: 0.9272, prior_entropy: 0.7637, recall: 0.9272, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6268, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.928, kappa: 0.7898, kb_relative_information_score: 7288.1055, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9277, predictive_accuracy: 0.9285, prior_entropy: 0.7637, recall: 0.9285, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5493, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9374, kappa: 0.8175, kb_relative_information_score: 8195.7575, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.5326, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9324, kappa: 0.8015, kb_relative_information_score: 8175.788, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9321, predictive_accuracy: 0.9332, prior_entropy: 0.7637, recall: 0.9332, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5746, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.929, kappa: 0.7932, kb_relative_information_score: 8397.5671, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9288, predictive_accuracy: 0.9292, prior_entropy: 0.7637, recall: 0.9292, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5479, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 1316.5668,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9374, kappa: 0.8175, kb_relative_information_score: 8195.7575, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.5326, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9372, kappa: 0.8143, kb_relative_information_score: 8371.0512, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9376, predictive_accuracy: 0.9386, prior_entropy: 0.7637, recall: 0.9386, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.5042, scimark_benchmark: 1313.8988, usercpu_time_millis: 63780, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 63450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9407, kappa: 0.8269, kb_relative_information_score: 8689.3621, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9405, predictive_accuracy: 0.9411, prior_entropy: 0.7637, recall: 0.9411, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5097, scimark_benchmark: 1393.8432,

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