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: 0.974, 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: 1346.4374,
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: 1346.4374,
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: 1313.11,
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: 1313.11,
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: 1330.9181, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
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: 1323.5075, 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: 1393.8432,
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: 1324.6608, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
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: 1396.1629, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
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: 1325.3966, 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: 1349.9109,
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: 1330.4755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1347.7267,
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: 1296.9979, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, 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: 1362.1309,
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: 1350.1007, 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: 1350.1007,
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: 1339.2472, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
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: 1346.2927, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, 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: 1319.2526, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, 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: 1260.1387, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, 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: 1354.3488,
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: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1297.2338, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1347.993,
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: 940.3347, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
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: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.9356, kappa: 0.8113, kb_relative_information_score: 8251.9465, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9354, predictive_accuracy: 0.9364, prior_entropy: 0.7637, recall: 0.9364, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5748, scimark_benchmark: 1280.6338,
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: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 918.0213,
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: 1350.907, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1360.6585, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1315.933, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
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: 1322.7383,
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: 1342.6911, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9354, kappa: 0.8112, kb_relative_information_score: 8348.4357, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9351, predictive_accuracy: 0.9359, prior_entropy: 0.7637, recall: 0.9359, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.5327, scimark_benchmark: 1144.961,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9397, kappa: 0.8253, kb_relative_information_score: 9173.9983, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.7637, recall: 0.9397, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5552, scimark_benchmark: 1341.7207, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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: 1327.9952, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
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: 1339.3974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9369, kappa: 0.8135, kb_relative_information_score: 6793.5997, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9371, predictive_accuracy: 0.9381, prior_entropy: 0.7637, recall: 0.9381, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5596, scimark_benchmark: 1340.0078, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9357, kappa: 0.81, kb_relative_information_score: 6656.6003, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.936, predictive_accuracy: 0.937, prior_entropy: 0.7637, recall: 0.937, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5709, scimark_benchmark: 1356.9539, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8724, kappa: 0.6582, kb_relative_information_score: -2275.6799, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.8944, predictive_accuracy: 0.8651, prior_entropy: 0.7637, recall: 0.8651, relative_absolute_error: 1.0218, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9211, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6816, kb_relative_information_score: -8.7799, 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: 1.0001, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7576, kappa: 0.2321, kb_relative_information_score: -9119.8755, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.8442, predictive_accuracy: 0.8139, prior_entropy: 0.7637, recall: 0.8139, relative_absolute_error: 1.4006, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.484, root_relative_squared_error: 1.1657, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9309, kappa: 0.8018, kb_relative_information_score: 8161.1576, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.932, predictive_accuracy: 0.9303, prior_entropy: 0.7637, recall: 0.9303, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.5858, scimark_benchmark: 825.5282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.9247, kappa: 0.7851, kb_relative_information_score: 7366.6886, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9267, predictive_accuracy: 0.9235, prior_entropy: 0.7637, recall: 0.9235, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.257, root_relative_squared_error: 0.619, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.884, kappa: 0.6691, kb_relative_information_score: 6259.7457, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.8866, predictive_accuracy: 0.8823, prior_entropy: 0.7637, recall: 0.8823, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.7568, scimark_benchmark: 1321.527,
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: 934.1747, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9299, kappa: 0.7923, kb_relative_information_score: 6558.673, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9303, predictive_accuracy: 0.9316, prior_entropy: 0.7637, recall: 0.9316, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.5808, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9397, kappa: 0.8237, kb_relative_information_score: 8624.2829, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9395, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4987, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9377, kappa: 0.8182, kb_relative_information_score: 8243.2206, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9374, predictive_accuracy: 0.9381, prior_entropy: 0.7637, recall: 0.9381, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.5229, scimark_benchmark: 869.6028, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9365, kappa: 0.8146, kb_relative_information_score: 8236.2551, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9362, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.526, scimark_benchmark: 912.7324, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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: 1315.395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9279, kappa: 0.7904, kb_relative_information_score: 7755.7848, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9277, predictive_accuracy: 0.928, prior_entropy: 0.7637, recall: 0.928, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.6, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9445, kappa: 0.8382, kb_relative_information_score: 9124.2285, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9443, predictive_accuracy: 0.9448, prior_entropy: 0.7637, recall: 0.9448, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4781, scimark_benchmark: 1304.9611, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9365, kappa: 0.8155, kb_relative_information_score: 8880.0283, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9364, predictive_accuracy: 0.9366, prior_entropy: 0.7637, recall: 0.9366, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5024, scimark_benchmark: 939.5205, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9316, kappa: 0.8025, kb_relative_information_score: 8660.691, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9319, predictive_accuracy: 0.9313, prior_entropy: 0.7637, recall: 0.9313, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.5287, scimark_benchmark: 933.3136, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.927, kappa: 0.7899, kb_relative_information_score: 8365.0247, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9277, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5596, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9247, kappa: 0.7841, kb_relative_information_score: 8164.9084, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.926, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5958, scimark_benchmark: 909.1698, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.943, kappa: 0.8334, kb_relative_information_score: 8772.8073, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9428, predictive_accuracy: 0.9435, prior_entropy: 0.7637, recall: 0.9435, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4959, scimark_benchmark: 1324.8395, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9441, kappa: 0.8372, kb_relative_information_score: 8740.1591, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.3451, number_of_instances: 11560, precision: 0.9439, predictive_accuracy: 0.9444, prior_entropy: 0.7637, recall: 0.9444, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5037, scimark_benchmark: 1442.7264, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,

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