Task
Supervised Classification on KDDCup09_upselling

Supervised Classification on KDDCup09_upselling

Task 3948 Supervised Classification KDDCup09_upselling 8590 runs submitted
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  • OpenML100 study_123 study_14 under100k
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8590 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.8909, kappa: 0.0009, kb_relative_information_score: -13065.0206, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8704, predictive_accuracy: 0.9261, prior_entropy: 0.3794, recall: 0.9261, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.26, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -13742.9789, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -13735.9404, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9756, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.8776, kappa: -0.024, kb_relative_information_score: -9993.5217, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8596, predictive_accuracy: 0.897, prior_entropy: 0.3794, recall: 0.897, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.2069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -14393.6231, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.8907, kappa: -0.0008, kb_relative_information_score: -11740.9811, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9259, prior_entropy: 0.3794, recall: 0.9259, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -8675.22, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.8908, kappa: -0.0001, kb_relative_information_score: -4053.2367, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8627, predictive_accuracy: 0.9261, prior_entropy: 0.3794, recall: 0.9261, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2613, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9754, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.8686, kappa: -0.0305, kb_relative_information_score: -16265.1296, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8593, predictive_accuracy: 0.8782, prior_entropy: 0.3794, recall: 0.8782, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3436, root_relative_squared_error: 1.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.8773, kappa: -0.0206, kb_relative_information_score: -12226.1373, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8602, predictive_accuracy: 0.8958, prior_entropy: 0.3794, recall: 0.8958, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3107, root_relative_squared_error: 1.1894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9752, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.8909, kappa: 0.0004, kb_relative_information_score: -13114.5817, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8663, predictive_accuracy: 0.9261, prior_entropy: 0.3794, recall: 0.9261, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.26, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.891, kappa: 0.0006, kb_relative_information_score: -12606.359, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8716, predictive_accuracy: 0.9262, prior_entropy: 0.3794, recall: 0.9262, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9753, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.8748, kappa: -0.0262, kb_relative_information_score: -13194.0328, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8595, predictive_accuracy: 0.891, prior_entropy: 0.3794, recall: 0.891, relative_absolute_error: 1.0311, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3257, root_relative_squared_error: 1.2469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9665, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9785, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, kb_relative_information_score: -255.1808, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9756, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.8909, kappa: 0.0006, kb_relative_information_score: -12955.0372, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8695, predictive_accuracy: 0.9262, prior_entropy: 0.3794, recall: 0.9262, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.8905, kappa: -0.0002, kb_relative_information_score: -9067.1645, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8633, predictive_accuracy: 0.9251, prior_entropy: 0.3794, recall: 0.9251, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, kb_relative_information_score: -3374.6326, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9777, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9756, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9755, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, kb_relative_information_score: -4180.2375, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -12251.6152, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.8909, kappa: 0.0002, kb_relative_information_score: -12952.0282, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8663, predictive_accuracy: 0.9262, prior_entropy: 0.3794, recall: 0.9262, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9756, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9752, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.8909, kappa: -0, kb_relative_information_score: -12082.7198, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, kb_relative_information_score: -4378.8617, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9753, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9756, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, kb_relative_information_score: -4142.6693, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9776, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.8909, kappa: -0, kb_relative_information_score: -10844.4438, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9758, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9756, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -5.5763, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -13474.6897, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9756, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9758, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -9204.5692, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -13090.4261, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9755, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -8772.8952, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.9986,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9754, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: -14060.9047, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.8909, kappa: 0.0004, kb_relative_information_score: -12814.3688, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8668, predictive_accuracy: 0.9261, prior_entropy: 0.3794, recall: 0.9261, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.26, root_relative_squared_error: 0.9954,

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