Task
Supervised Classification on twonorm

Supervised Classification on twonorm

Task 9943 Supervised Classification twonorm 87 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9741, kappa: 0.9481, kb_relative_information_score: 6955.8571, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 1, recall: 0.9741, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9584, kappa: 0.9168, kb_relative_information_score: 5940.1067, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 1, recall: 0.9584, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9764, kappa: 0.9527, kb_relative_information_score: 6322.2035, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1, recall: 0.9764, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.153, root_relative_squared_error: 0.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9039, kappa: 0.8078, kb_relative_information_score: 5681.4339, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.904, predictive_accuracy: 0.9039, prior_entropy: 1, recall: 0.9039, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9415, kappa: 0.8832, kb_relative_information_score: 6359.1345, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9446, predictive_accuracy: 0.9416, prior_entropy: 1, recall: 0.9416, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9711, kappa: 0.9422, kb_relative_information_score: 6867.7132, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 1, recall: 0.9711, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.945, kappa: 0.89, kb_relative_information_score: 6598.9682, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 1, recall: 0.945, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 6994.9843, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 1, recall: 0.9785, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9128, kappa: 0.8257, kb_relative_information_score: 6044.9947, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9129, predictive_accuracy: 0.9128, prior_entropy: 1, recall: 0.9128, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8547, kappa: 0.7095, kb_relative_information_score: 5094.4894, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8548, predictive_accuracy: 0.8547, prior_entropy: 1, recall: 0.8547, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9709, kappa: 0.9419, kb_relative_information_score: 6616.0197, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 1, recall: 0.9709, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 6931.3432, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 1, recall: 0.9785, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 7061.2878, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1, recall: 0.978, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.2818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 6931.3432, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 1, recall: 0.9785, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.943, kappa: 0.8859, kb_relative_information_score: 5271.0395, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 1, recall: 0.943, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9386, kappa: 0.8773, kb_relative_information_score: 4602.9239, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9387, predictive_accuracy: 0.9386, prior_entropy: 1, recall: 0.9386, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3338, kb_relative_information_score: -0.0018, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.2504, predictive_accuracy: 0.5004, prior_entropy: 1, recall: 0.5004, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9114, kappa: 0.8227, kb_relative_information_score: 5588.1419, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9114, predictive_accuracy: 0.9114, prior_entropy: 1, recall: 0.9114, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9711, kappa: 0.9422, kb_relative_information_score: 6616.6626, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 1, recall: 0.9711, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9711, kappa: 0.9422, kb_relative_information_score: 6616.6626, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 1, recall: 0.9711, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 5053.2292, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 6931.321, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 1, recall: 0.9785, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 5053.2292, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9777, kappa: 0.9554, kb_relative_information_score: 6990.5318, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 1, recall: 0.9777, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.2931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9236, kappa: 0.8473, kb_relative_information_score: 6269.9989, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9237, predictive_accuracy: 0.9236, prior_entropy: 1, recall: 0.9236, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9242, kappa: 0.8484, kb_relative_information_score: 5882.419, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9243, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9674, kappa: 0.9349, kb_relative_information_score: 5405.8375, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 1, recall: 0.9674, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9777, kappa: 0.9554, kb_relative_information_score: 7069.9997, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 1, recall: 0.9777, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.2986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 6931.0441, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 1, recall: 0.9784, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.129, root_relative_squared_error: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9778, kappa: 0.9557, kb_relative_information_score: 7071.9997, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 1, recall: 0.9778, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9742, kappa: 0.9484, kb_relative_information_score: 6868.6604, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 1, recall: 0.9742, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9764, kappa: 0.9527, kb_relative_information_score: 6915.8286, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1, recall: 0.9764, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.942, kappa: 0.8841, kb_relative_information_score: 5251.5905, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.943, predictive_accuracy: 0.942, prior_entropy: 1, recall: 0.942, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8468, kappa: 0.6935, kb_relative_information_score: 5131.9978, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8468, predictive_accuracy: 0.8468, prior_entropy: 1, recall: 0.8468, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9757, kappa: 0.9514, kb_relative_information_score: 7039.9997, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9757, predictive_accuracy: 0.9757, prior_entropy: 1, recall: 0.9757, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9582, kappa: 0.9165, kb_relative_information_score: 6781.9994, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 1, recall: 0.9582, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9612, kappa: 0.9224, kb_relative_information_score: 6825.9995, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9612, predictive_accuracy: 0.9612, prior_entropy: 1, recall: 0.9612, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 6947.9996, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 1, recall: 0.9695, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3495, usercpu_time_millis: 22.664, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 22.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.8122, kappa: 0.6243, kb_relative_information_score: 4619.9974, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8122, predictive_accuracy: 0.8122, prior_entropy: 1, recall: 0.8122, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8668, usercpu_time_millis: 2.547, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 2.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9769, kappa: 0.9538, kb_relative_information_score: 7057.9997, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 1, recall: 0.9769, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.152, root_relative_squared_error: 0.304, usercpu_time_millis: 15.259, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 14.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 7073.9997, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2968, usercpu_time_millis: 5.232, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 5.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 7081.9997, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 1, recall: 0.9785, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2932, usercpu_time_millis: 2.568, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 2.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9761, kappa: 0.9522, kb_relative_information_score: 7045.9997, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9761, predictive_accuracy: 0.9761, prior_entropy: 1, recall: 0.9761, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3093, usercpu_time_millis: 2.938, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 2.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.7641, kappa: 0.5281, kb_relative_information_score: 3907.9967, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7641, predictive_accuracy: 0.7641, prior_entropy: 1, recall: 0.7641, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9715, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9595, kappa: 0.9189, kb_relative_information_score: 6799.9994, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9595, predictive_accuracy: 0.9595, prior_entropy: 1, recall: 0.9595, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4027, usercpu_time_millis: 57.018, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 56.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 7081.9997, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 1, recall: 0.9785, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2932, usercpu_time_millis: 75.871, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 75.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9697, kappa: 0.9395, kb_relative_information_score: 6951.9996, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9703, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.174, root_relative_squared_error: 0.348, usercpu_time_millis: 131.573, usercpu_time_millis_testing: 2.205, usercpu_time_millis_training: 129.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 6945.9996, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.97, predictive_accuracy: 0.9693, prior_entropy: 1, recall: 0.9693, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3503, usercpu_time_millis: 796.1, usercpu_time_millis_testing: 68.191, usercpu_time_millis_training: 727.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9724, kappa: 0.9449, kb_relative_information_score: 6991.9996, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 1, recall: 0.9724, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3321, usercpu_time_millis: 92.779, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 92.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 7073.9997, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2968, usercpu_time_millis: 1.989, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9773, kappa: 0.9546, kb_relative_information_score: 7063.9997, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 1, recall: 0.9773, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3013, usercpu_time_millis: 3.41, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 3.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9778, kappa: 0.9557, kb_relative_information_score: 7071.9997, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 1, recall: 0.9778, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2977, usercpu_time_millis: 2.557, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 2.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9778, kappa: 0.9557, kb_relative_information_score: 7071.9997, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 1, recall: 0.9778, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2977, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9138, kappa: 0.8276, kb_relative_information_score: 6123.9988, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9138, predictive_accuracy: 0.9138, prior_entropy: 1, recall: 0.9138, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.5873, usercpu_time_millis: 10.235, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 9.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 7081.9997, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 1, recall: 0.9785, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2932, usercpu_time_millis: 7.908, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 7.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6375, kappa: 0.2751, kb_relative_information_score: 2035.9949, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.6376, predictive_accuracy: 0.6376, prior_entropy: 1, recall: 0.6376, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.602, root_relative_squared_error: 1.204, usercpu_time_millis: 2.208, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9053, kappa: 0.8105, kb_relative_information_score: 5997.9987, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9053, predictive_accuracy: 0.9053, prior_entropy: 1, recall: 0.9053, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6156, usercpu_time_millis: 395.409, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 394.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 7053.9997, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3058, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9754, kappa: 0.9508, kb_relative_information_score: 7035.9997, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 1, recall: 0.9754, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3137, usercpu_time_millis: 8.373, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 8.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 7081.9997, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 1, recall: 0.9785, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2932, usercpu_time_millis: 6.317, usercpu_time_millis_testing: 5.592, usercpu_time_millis_training: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9778, kappa: 0.9557, kb_relative_information_score: 7071.9997, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 1, recall: 0.9778, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2977, usercpu_time_millis: 2.731, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 2.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9715, kappa: 0.943, kb_relative_information_score: 6977.9996, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 1, recall: 0.9715, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3377, usercpu_time_millis: 151.932, usercpu_time_millis_testing: 11.654, usercpu_time_millis_training: 140.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9769, kappa: 0.9538, kb_relative_information_score: 7057.9997, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 1, recall: 0.9769, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.152, root_relative_squared_error: 0.304, usercpu_time_millis: 76.517, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 76.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9777, kappa: 0.9554, kb_relative_information_score: 7069.9997, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 1, recall: 0.9777, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.2986, usercpu_time_millis: 13.791, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 13.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9778, kappa: 0.9557, kb_relative_information_score: 7071.9997, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 1, recall: 0.9778, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2977, usercpu_time_millis: 3.643, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 3.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9778, kappa: 0.9557, kb_relative_information_score: 7071.9997, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 1, recall: 0.9778, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2977, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9777, kappa: 0.9554, kb_relative_information_score: 7069.9997, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 1, recall: 0.9777, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.2986, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 7073.9997, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2968, usercpu_time_millis: 1.895, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9776, kappa: 0.9551, kb_relative_information_score: 7067.9997, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9776, predictive_accuracy: 0.9776, prior_entropy: 1, recall: 0.9776, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.2995, usercpu_time_millis: 6.653, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 6.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9647, kappa: 0.9295, kb_relative_information_score: 6877.9995, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 1, recall: 0.9647, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3756, usercpu_time_millis: 3.386, usercpu_time_millis_testing: 3.35, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8994, kappa: 0.7989, kb_relative_information_score: 5911.9986, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8998, predictive_accuracy: 0.8995, prior_entropy: 1, recall: 0.8995, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6342, usercpu_time_millis: 31.917, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 31.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 5105.9978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7874, usercpu_time_millis: 5.465, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 4.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9486, kappa: 0.8973, kb_relative_information_score: 6639.9993, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9487, predictive_accuracy: 0.9486, prior_entropy: 1, recall: 0.9486, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4532, usercpu_time_millis: 62.961, usercpu_time_millis_testing: 10.108, usercpu_time_millis_training: 52.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 7073.9997, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2968, usercpu_time_millis: 38.92, usercpu_time_millis_testing: 5.444, usercpu_time_millis_training: 33.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9773, kappa: 0.9546, kb_relative_information_score: 7063.9997, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 1, recall: 0.9773, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3013, usercpu_time_millis: 3.929, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 3.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 7073.9997, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2968, usercpu_time_millis: 6.877, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 6.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8169, kappa: 0.6338, kb_relative_information_score: 4689.9974, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8171, predictive_accuracy: 0.8169, prior_entropy: 1, recall: 0.8169, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8558, usercpu_time_millis: 6.34, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 6.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9645, kappa: 0.9289, kb_relative_information_score: 6873.9995, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 1, recall: 0.9645, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.377, usercpu_time_millis: 824.044, usercpu_time_millis_testing: 184.631, usercpu_time_millis_training: 639.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 7073.9997, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2968, usercpu_time_millis: 2.691, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 2.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.837, kappa: 0.674, kb_relative_information_score: 4987.9977, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8373, predictive_accuracy: 0.837, prior_entropy: 1, recall: 0.837, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8074, usercpu_time_millis: 7.511, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 7.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9714, kappa: 0.9427, kb_relative_information_score: 6975.9996, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 1, recall: 0.9714, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3385, usercpu_time_millis: 343.23, usercpu_time_millis_testing: 5.122, usercpu_time_millis_training: 338.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9636, kappa: 0.9273, kb_relative_information_score: 6861.9995, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 1, recall: 0.9636, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3813, usercpu_time_millis: 167.802, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 166.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 6919.9995, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 1, recall: 0.9676, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3602, usercpu_time_millis: 23.904, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 23.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9778, kappa: 0.9557, kb_relative_information_score: 7071.9997, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 1, recall: 0.9778, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2977, usercpu_time_millis: 3.615, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 3.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9615, kappa: 0.923, kb_relative_information_score: 6829.9995, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9615, predictive_accuracy: 0.9615, prior_entropy: 1, recall: 0.9615, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.3925, usercpu_time_millis: 172.449, usercpu_time_millis_testing: 2.394, usercpu_time_millis_training: 170.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9759, kappa: 0.9519, kb_relative_information_score: 7043.9997, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 1, recall: 0.9759, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3102, usercpu_time_millis: 38.759, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 38.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 5053.2292, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7665,

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