OpenML
Supervised Classification on fri_c1_500_5

Supervised Classification on fri_c1_500_5

Task 3734 Supervised Classification fri_c1_500_5 572 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: 0.9014, f_measure: 0.8093, kappa: 0.6165, kb_relative_information_score: 270.0283, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 0.9967, recall: 0.81, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.72, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8093, kappa: 0.6165, kb_relative_information_score: 270.0283, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 0.9967, recall: 0.81, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.72, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8093, kappa: 0.6165, kb_relative_information_score: 270.0283, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 0.9967, recall: 0.81, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.72, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8113, kappa: 0.6204, kb_relative_information_score: 262.5026, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8127, predictive_accuracy: 0.812, prior_entropy: 0.9967, recall: 0.812, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7272, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8577, kappa: 0.7138, kb_relative_information_score: 357.4336, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8583, predictive_accuracy: 0.858, prior_entropy: 0.9967, recall: 0.858, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6987, scimark_benchmark: 936.1714, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8458, kappa: 0.69, kb_relative_information_score: 343.514, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9967, recall: 0.846, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7169, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8196, kappa: 0.6371, kb_relative_information_score: 312.9106, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9967, recall: 0.82, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.791, scimark_benchmark: 940.0055, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7935, kappa: 0.5846, kb_relative_information_score: 275.3392, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7941, predictive_accuracy: 0.794, prior_entropy: 0.9967, recall: 0.794, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8408, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7577, kappa: 0.5128, kb_relative_information_score: 243.7235, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7577, predictive_accuracy: 0.758, prior_entropy: 0.9967, recall: 0.758, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8914, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3718, kb_relative_information_score: 30.8877, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.3685, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8537, kappa: 0.7058, kb_relative_information_score: 343.0983, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8543, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7294, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8418, kappa: 0.6819, kb_relative_information_score: 167.4914, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9967, recall: 0.842, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7644, scimark_benchmark: 935.8024, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7556, kappa: 0.5084, kb_relative_information_score: 135.2517, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7557, predictive_accuracy: 0.756, prior_entropy: 0.9967, recall: 0.756, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8533, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.843, kappa: 0.6843, kb_relative_information_score: 298.7512, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7055, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8501, kappa: 0.699, kb_relative_information_score: 263.1882, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8503, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 919.6941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8495, kappa: 0.6972, kb_relative_information_score: 301.2908, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8509, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6979, scimark_benchmark: 934.929, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8701, kappa: 0.7393, kb_relative_information_score: 369.1222, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 928.8135, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 290.5299, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.697, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7041, kappa: 0.4056, kb_relative_information_score: 117.6731, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7042, predictive_accuracy: 0.704, prior_entropy: 0.9967, recall: 0.704, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8854, scimark_benchmark: 938.5476, usercpu_time_millis: 1310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 302.7962, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7177, scimark_benchmark: 946.6409, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.843, kappa: 0.6843, kb_relative_information_score: 298.7512, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7055, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8701, kappa: 0.7393, kb_relative_information_score: 369.1222, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 1324.1205, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 290.5299, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.697, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8501, kappa: 0.699, kb_relative_information_score: 263.1882, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8503, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1314.9949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8701, kappa: 0.7393, kb_relative_information_score: 369.1222, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 1342.8632, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 290.5299, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.697, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 1342.8632, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8501, kappa: 0.699, kb_relative_information_score: 263.1882, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8503, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, 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: 0.9469, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 1330.4755, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 1308.6872, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.843, kappa: 0.6843, kb_relative_information_score: 298.7512, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7055, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8495, kappa: 0.6972, kb_relative_information_score: 301.2908, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8509, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6979, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8701, kappa: 0.7393, kb_relative_information_score: 369.1222, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 1341.3551, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 1371.174, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 290.5299, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.697, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 1281.7531, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.843, kappa: 0.6843, kb_relative_information_score: 298.7512, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7055, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 1314.7093, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7041, kappa: 0.4056, kb_relative_information_score: 117.6731, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7042, predictive_accuracy: 0.704, prior_entropy: 0.9967, recall: 0.704, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8854, scimark_benchmark: 1341.5795, usercpu_time_millis: 970, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 290.5299, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.697, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs