OpenML
Supervised Classification on fri_c0_500_5

Supervised Classification on fri_c0_500_5

Task 3747 Supervised Classification fri_c0_500_5 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 327.3523, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6596, scimark_benchmark: 894.7455, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 358.3407, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6736, scimark_benchmark: 936.7115, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.862, kappa: 0.724, kb_relative_information_score: 344.8341, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 1, recall: 0.862, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6801, scimark_benchmark: 938.2848, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 325.9995, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7078, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7959, kappa: 0.5919, kb_relative_information_score: 286.5996, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8063, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7645, kappa: 0.5317, kb_relative_information_score: 256.4068, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7725, predictive_accuracy: 0.766, prior_entropy: 1, recall: 0.766, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8322, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 346.0036, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6528, scimark_benchmark: 933.8635, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 308.4674, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6268, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 267.4413, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8264, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6818, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 269.6493, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8219, kappa: 0.6439, kb_relative_information_score: 282.4026, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8224, predictive_accuracy: 0.822, prior_entropy: 1, recall: 0.822, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6853, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.846, kappa: 0.692, kb_relative_information_score: 314.0294, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8463, predictive_accuracy: 0.846, prior_entropy: 1, recall: 0.846, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6694, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 259.5554, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6926, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -2.0115, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.4171, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 299.2206, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8006, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8199, kappa: 0.6399, kb_relative_information_score: 115.2613, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376, scimark_benchmark: 933.8635, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 123.1501, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7501, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8445, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8058, kappa: 0.6119, kb_relative_information_score: 300.0068, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8068, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7319, scimark_benchmark: 932.236, usercpu_time_millis: 760, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 367.5782, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7224, scimark_benchmark: 935.8834, usercpu_time_millis: 640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 356.92, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7102, scimark_benchmark: 883.7187, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7379, kappa: 0.4927, kb_relative_information_score: 184.3783, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.782, predictive_accuracy: 0.746, prior_entropy: 1, recall: 0.746, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8565, scimark_benchmark: 917.1386, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 364.9148, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6544, scimark_benchmark: 945.6434, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8131, kappa: 0.6278, kb_relative_information_score: 245.4819, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8195, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7253, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8293, kappa: 0.6598, kb_relative_information_score: 329.9961, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8351, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8246, scimark_benchmark: 935.8986, usercpu_time_millis: 310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 333.9962, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 945.7621, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, build_cpu_time: 0.0562, build_memory: 1034357964.8, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 277.0147, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7512, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, build_cpu_time: 0.0536, build_memory: 1056461966.4, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 277.0147, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7512, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, build_cpu_time: 0.0542, build_memory: 716389396.8, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 277.0147, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7512, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, build_cpu_time: 0.052, build_memory: 522135073.6, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 277.0147, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7512, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, build_cpu_time: 0.0439, build_memory: 938879086.4, f_measure: 0.886, kappa: 0.772, kb_relative_information_score: 376.0732, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8863, predictive_accuracy: 0.886, prior_entropy: 1, recall: 0.886, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6035, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 0.0608, build_memory: 606087331.2, f_measure: 0.894, kappa: 0.788, kb_relative_information_score: 385.5769, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8948, predictive_accuracy: 0.894, prior_entropy: 1, recall: 0.894, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6053, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, build_cpu_time: 0.1072, build_memory: 257322784, f_measure: 0.89, kappa: 0.78, kb_relative_information_score: 386.1632, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6323, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, build_cpu_time: 0.1618, build_memory: 48770400.8, f_measure: 0.896, kappa: 0.792, kb_relative_information_score: 390.1141, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 1, recall: 0.896, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6259, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, build_cpu_time: 0.2257, build_memory: 1184527432.8, f_measure: 0.89, kappa: 0.78, kb_relative_information_score: 385.4553, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6416, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, build_cpu_time: 0.007, build_memory: 865352549.6, f_measure: 0.814, kappa: 0.628, kb_relative_information_score: 313.9957, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8141, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8626, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, build_cpu_time: 0.0059, build_memory: 58397152.8, f_measure: 0.814, kappa: 0.628, kb_relative_information_score: 313.9957, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8141, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8626, scimark_benchmark: 877.9084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, build_cpu_time: 0.0252, build_memory: 37066516.8, f_measure: 0.8058, kappa: 0.6119, kb_relative_information_score: 305.0179, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8068, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.879, scimark_benchmark: 939.6298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.2426, build_memory: 21390375.2, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 347.1484, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8561, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6143, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, build_cpu_time: 1.6152, build_memory: 858373106.4, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 368.0033, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7142, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 0.8445, build_memory: 539042198.4, f_measure: 0.862, kappa: 0.724, kb_relative_information_score: 362.6804, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8622, predictive_accuracy: 0.862, prior_entropy: 1, recall: 0.862, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7293, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 0.4049, build_memory: 408716755.2, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 362.1602, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7114, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, build_cpu_time: 0.2851, build_memory: 1198370614.4, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 356.92, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7102, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, build_cpu_time: 0.1799, build_memory: 268360636.8, f_measure: 0.7379, kappa: 0.4927, kb_relative_information_score: 184.3783, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.782, predictive_accuracy: 0.746, prior_entropy: 1, recall: 0.746, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8565, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, build_cpu_time: 0.2226, build_memory: 2492388826.4, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 364.9148, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6544, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, build_cpu_time: 0.0016, build_memory: 2092423545.6, f_measure: 0.8131, kappa: 0.6278, kb_relative_information_score: 245.4819, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8195, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7253, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, build_cpu_time: 0.0254, build_memory: 708097587.2, f_measure: 0.8159, kappa: 0.6321, kb_relative_information_score: 267.2174, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.817, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7855, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, build_cpu_time: 0.0002, build_memory: 1244539428, f_measure: 0.8058, kappa: 0.6119, kb_relative_information_score: 305.0179, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8068, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.879, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, build_cpu_time: 0.1963, build_memory: 1021883526.4, f_measure: 0.8293, kappa: 0.6598, kb_relative_information_score: 329.9961, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8351, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8246, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.0079, build_memory: 237823763.2, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 327.996, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.035, build_memory: 881297784, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 333.9962, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, build_cpu_time: 0.0067, build_memory: 110878544.8, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 270.9639, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6995, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, build_cpu_time: 0.0009, build_memory: 73283580.8, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 240.9571, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, build_cpu_time: 0.0179, build_memory: 516600000, f_measure: 0.838, kappa: 0.676, kb_relative_information_score: 283.4009, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 1, recall: 0.838, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6622, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 0.0166, build_memory: 242016259.2, f_measure: 0.818, kappa: 0.636, kb_relative_information_score: 256.6121, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.818, prior_entropy: 1, recall: 0.818, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6994, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 0.017, build_memory: 170047849.6, f_measure: 0.818, kappa: 0.636, kb_relative_information_score: 256.6121, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.818, prior_entropy: 1, recall: 0.818, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6994, scimark_benchmark: 945.4151,

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