OpenML
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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.8599, kappa: -0.0272, kb_relative_information_score: -21489.0876, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.3794, recall: 0.86, relative_absolute_error: 1.0263, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.8764, kappa: 0.0484, kb_relative_information_score: -9830.8237, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8703, predictive_accuracy: 0.8828, prior_entropy: 0.3794, recall: 0.8828, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3423, root_relative_squared_error: 1.3107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.8604, kappa: -0.0248, kb_relative_information_score: -21182.8285, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8602, predictive_accuracy: 0.8606, prior_entropy: 0.3794, recall: 0.8606, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.862, kappa: -0.015, kb_relative_information_score: -20182.382, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8615, predictive_accuracy: 0.8625, prior_entropy: 0.3794, recall: 0.8625, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.8674, kappa: -0.0115, kb_relative_information_score: -14822.8474, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.862, predictive_accuracy: 0.873, prior_entropy: 0.3794, recall: 0.873, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8909, kappa: -0, kb_relative_information_score: 12393.3799, mean_absolute_error: 0.0737, 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: 0.5398, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.8613, kappa: -0.0147, kb_relative_information_score: -20917.4039, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8616, predictive_accuracy: 0.8611, prior_entropy: 0.3794, recall: 0.8611, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.8627, kappa: -0.0076, kb_relative_information_score: -20049.6698, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8625, predictive_accuracy: 0.8628, prior_entropy: 0.3794, recall: 0.8628, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.8741, kappa: 0.0796, kb_relative_information_score: -14424.7106, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8744, predictive_accuracy: 0.8738, prior_entropy: 0.3794, recall: 0.8738, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3552, root_relative_squared_error: 1.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.9192, kappa: 0.3117, kb_relative_information_score: 16374.7484, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9202, predictive_accuracy: 0.9341, prior_entropy: 0.3794, recall: 0.9341, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.8616, kappa: -0.015, kb_relative_information_score: -20570.3103, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8615, predictive_accuracy: 0.8618, prior_entropy: 0.3794, recall: 0.8618, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.8799, kappa: 0.0922, kb_relative_information_score: -9391.8523, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8762, predictive_accuracy: 0.8837, prior_entropy: 0.3794, recall: 0.8837, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3411, root_relative_squared_error: 1.3059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.917, kappa: 0.2927, kb_relative_information_score: 15547.8488, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9171, predictive_accuracy: 0.9325, prior_entropy: 0.3794, recall: 0.9325, relative_absolute_error: 0.4945, 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: 0.62, f_measure: 0.9163, kappa: 0.3115, kb_relative_information_score: 13067.1499, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.912, predictive_accuracy: 0.9277, prior_entropy: 0.3794, recall: 0.9277, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, f_measure: 0.8601, kappa: -0.0267, kb_relative_information_score: -21346.1667, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8599, predictive_accuracy: 0.8602, prior_entropy: 0.3794, recall: 0.8602, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.8593, kappa: -0.0175, kb_relative_information_score: -22816.2105, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8612, predictive_accuracy: 0.8574, prior_entropy: 0.3794, recall: 0.8574, relative_absolute_error: 1.0454, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3777, root_relative_squared_error: 1.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.8586, kappa: -0.0355, kb_relative_information_score: -22254.7354, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8587, predictive_accuracy: 0.8585, prior_entropy: 0.3794, recall: 0.8585, relative_absolute_error: 1.0373, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.8618, kappa: -0.0101, kb_relative_information_score: -20784.6916, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8622, predictive_accuracy: 0.8613, prior_entropy: 0.3794, recall: 0.8613, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.4257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.8608, kappa: -0.0164, kb_relative_information_score: -21315.5408, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8613, predictive_accuracy: 0.8603, prior_entropy: 0.3794, recall: 0.8603, relative_absolute_error: 1.0238, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.8718, kappa: 0.0639, kb_relative_information_score: -15680.373, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8723, predictive_accuracy: 0.8713, prior_entropy: 0.3794, recall: 0.8713, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3587, root_relative_squared_error: 1.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8881, kappa: 0.0057, kb_relative_information_score: 7656.5721, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8653, predictive_accuracy: 0.9171, prior_entropy: 0.3794, recall: 0.9171, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.288, root_relative_squared_error: 1.1026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.8681, kappa: 0.0336, kb_relative_information_score: -17313.7549, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.3794, recall: 0.8681, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3631, root_relative_squared_error: 1.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8909, kappa: -0.0001, kb_relative_information_score: 12270.8762, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8631, predictive_accuracy: 0.9261, prior_entropy: 0.3794, recall: 0.9261, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.9129, kappa: 0.2382, kb_relative_information_score: 15772.4388, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9193, predictive_accuracy: 0.933, prior_entropy: 0.3794, recall: 0.933, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.9185, kappa: 0.2988, kb_relative_information_score: 16803.5112, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9223, predictive_accuracy: 0.935, prior_entropy: 0.3794, recall: 0.935, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.255, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8909, kappa: -0.0002, kb_relative_information_score: 12362.754, mean_absolute_error: 0.0737, 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: 0.5403, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2715, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8908, kappa: -0.0004, kb_relative_information_score: 12189.2071, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8613, predictive_accuracy: 0.9259, prior_entropy: 0.3794, recall: 0.9259, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.8589, kappa: -0.0355, kb_relative_information_score: -21979.1022, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8587, predictive_accuracy: 0.859, prior_entropy: 0.3794, recall: 0.859, relative_absolute_error: 1.0334, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.4377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, f_measure: 0.8573, kappa: -0.0208, kb_relative_information_score: -24612.9307, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8607, predictive_accuracy: 0.8538, prior_entropy: 0.3794, recall: 0.8538, relative_absolute_error: 1.0712, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3823, root_relative_squared_error: 1.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8903, kappa: -0.0002, kb_relative_information_score: 11413.3507, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8634, predictive_accuracy: 0.9244, prior_entropy: 0.3794, recall: 0.9244, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2749, root_relative_squared_error: 1.0526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.8645, kappa: 0.0027, kb_relative_information_score: -18855.2592, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8639, predictive_accuracy: 0.8651, prior_entropy: 0.3794, recall: 0.8651, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3673, root_relative_squared_error: 1.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5198, f_measure: 0.8802, kappa: 0.0473, kb_relative_information_score: -5604.4479, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8704, predictive_accuracy: 0.8911, prior_entropy: 0.3794, recall: 0.8911, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.33, root_relative_squared_error: 1.2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.8599, kappa: -0.0263, kb_relative_information_score: -21560.5481, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.86, predictive_accuracy: 0.8598, prior_entropy: 0.3794, recall: 0.8598, relative_absolute_error: 1.0273, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.8734, kappa: 0.0743, kb_relative_information_score: -14812.6388, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8737, predictive_accuracy: 0.873, prior_entropy: 0.3794, recall: 0.873, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.8639, kappa: 0.0024, kb_relative_information_score: -19437.1515, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8639, predictive_accuracy: 0.864, prior_entropy: 0.3794, recall: 0.864, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8898, kappa: 0, kb_relative_information_score: 10749.7892, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8636, predictive_accuracy: 0.9231, prior_entropy: 0.3794, recall: 0.9231, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2773, root_relative_squared_error: 1.0616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8903, kappa: -0.0002, kb_relative_information_score: 11392.9334, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8633, predictive_accuracy: 0.9244, prior_entropy: 0.3794, recall: 0.9244, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.275, root_relative_squared_error: 1.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.8585, kappa: -0.0361, kb_relative_information_score: -22315.9873, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8586, predictive_accuracy: 0.8583, prior_entropy: 0.3794, recall: 0.8583, relative_absolute_error: 1.0382, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3764, root_relative_squared_error: 1.441,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8886, kappa: -0.0001, kb_relative_information_score: 8953.0691, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8635, predictive_accuracy: 0.9196, prior_entropy: 0.3794, recall: 0.9196, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2835, root_relative_squared_error: 1.0856,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.8657, kappa: 0.0151, kb_relative_information_score: -18508.1655, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8656, predictive_accuracy: 0.8658, prior_entropy: 0.3794, recall: 0.8658, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3663, root_relative_squared_error: 1.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.874, kappa: 0.0583, kb_relative_information_score: -13077.1704, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8715, predictive_accuracy: 0.8764, prior_entropy: 0.3794, recall: 0.8764, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.8838, kappa: 0.0928, kb_relative_information_score: -5267.5628, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8766, predictive_accuracy: 0.8917, prior_entropy: 0.3794, recall: 0.8917, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.329, root_relative_squared_error: 1.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.9188, kappa: 0.3075, kb_relative_information_score: 16395.1657, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9203, predictive_accuracy: 0.9342, prior_entropy: 0.3794, recall: 0.9342, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8907, kappa: -0.0008, kb_relative_information_score: 12076.9121, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8603, predictive_accuracy: 0.9257, prior_entropy: 0.3794, recall: 0.9257, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2725, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.8795, kappa: 0.1266, kb_relative_information_score: -12199.2276, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8809, predictive_accuracy: 0.8782, prior_entropy: 0.3794, recall: 0.8782, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3491, root_relative_squared_error: 1.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.8813, kappa: 0.1457, kb_relative_information_score: -11627.5439, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8835, predictive_accuracy: 0.8793, prior_entropy: 0.3794, recall: 0.8793, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3474, root_relative_squared_error: 1.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.8678, kappa: 0.0253, kb_relative_information_score: -17048.3304, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.867, predictive_accuracy: 0.8687, prior_entropy: 0.3794, recall: 0.8687, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3624, root_relative_squared_error: 1.3876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.8706, kappa: 0.054, kb_relative_information_score: -16211.2221, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8709, predictive_accuracy: 0.8703, prior_entropy: 0.3794, recall: 0.8703, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3601, root_relative_squared_error: 1.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.8587, kappa: -0.0346, kb_relative_information_score: -22173.0663, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8588, predictive_accuracy: 0.8586, prior_entropy: 0.3794, recall: 0.8586, relative_absolute_error: 1.0361, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.376, root_relative_squared_error: 1.4396,

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

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From your own software

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

OpenML APIs