OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 146820 Supervised Classification wilt 10966 runs submitted
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10966 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.9725, kappa: 0.706, kb_relative_information_score: 0.6489, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9742, predictive_accuracy: 0.9752, prior_entropy: 0.3029, recall: 0.9752, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.9276, kappa: 0.11, kb_relative_information_score: 0.2832, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9519, predictive_accuracy: 0.9494, prior_entropy: 0.3029, recall: 0.9494, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.9772, kappa: 0.7627, kb_relative_information_score: 0.6987, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9777, predictive_accuracy: 0.9787, prior_entropy: 0.3029, recall: 0.9787, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.9789, kappa: 0.7802, kb_relative_information_score: 0.7221, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9804, prior_entropy: 0.3029, recall: 0.9804, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.9232, kappa: 0.049, kb_relative_information_score: 0.254, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9435, predictive_accuracy: 0.9473, prior_entropy: 0.3029, recall: 0.9473, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2296, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9842, kappa: 0.8466, kb_relative_information_score: 0.7747, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9841, prior_entropy: 0.3029, recall: 0.9841, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9855, kappa: 0.8544, kb_relative_information_score: 0.8011, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9855, predictive_accuracy: 0.9859, prior_entropy: 0.3029, recall: 0.9859, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.9266, kappa: 0.0962, kb_relative_information_score: 0.2745, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.948, predictive_accuracy: 0.9487, prior_entropy: 0.3029, recall: 0.9487, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2264, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.9684, kappa: 0.6565, kb_relative_information_score: 0.6051, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.971, predictive_accuracy: 0.9721, prior_entropy: 0.3029, recall: 0.9721, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.167, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.9779, kappa: 0.7747, kb_relative_information_score: 0.6987, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9777, predictive_accuracy: 0.9787, prior_entropy: 0.3029, recall: 0.9787, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.476, f_measure: 0.8934, kappa: -0.0484, kb_relative_information_score: -0.5037, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.893, predictive_accuracy: 0.8938, prior_entropy: 0.3029, recall: 0.8938, relative_absolute_error: 1.0391, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3259, root_relative_squared_error: 1.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9181, kappa: -0.0066, kb_relative_information_score: 0.1867, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8949, predictive_accuracy: 0.9426, prior_entropy: 0.3029, recall: 0.9426, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.0611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.8918, kappa: -0.0538, kb_relative_information_score: -0.5418, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8925, predictive_accuracy: 0.8911, prior_entropy: 0.3029, recall: 0.8911, relative_absolute_error: 1.0654, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.33, root_relative_squared_error: 1.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.9576, kappa: 0.5174, kb_relative_information_score: 0.5056, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.3029, recall: 0.9651, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.9177, kappa: -0.0081, kb_relative_information_score: 0.175, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8948, predictive_accuracy: 0.9417, prior_entropy: 0.3029, recall: 0.9417, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2414, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.8922, kappa: -0.0569, kb_relative_information_score: -0.5242, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8921, predictive_accuracy: 0.8923, prior_entropy: 0.3029, recall: 0.8923, relative_absolute_error: 1.0533, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.9768, kappa: 0.7569, kb_relative_information_score: 0.6957, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9776, predictive_accuracy: 0.9785, prior_entropy: 0.3029, recall: 0.9785, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9876, kappa: 0.8781, kb_relative_information_score: 0.8245, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.3029, recall: 0.9876, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9841, kappa: 0.8438, kb_relative_information_score: 0.7747, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9841, prior_entropy: 0.3029, recall: 0.9841, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9879, kappa: 0.8808, kb_relative_information_score: 0.8303, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9879, predictive_accuracy: 0.988, prior_entropy: 0.3029, recall: 0.988, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.9874, kappa: 0.8758, kb_relative_information_score: 0.8215, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9873, predictive_accuracy: 0.9874, prior_entropy: 0.3029, recall: 0.9874, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9732, kappa: 0.7235, kb_relative_information_score: 0.6402, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9746, prior_entropy: 0.3029, recall: 0.9746, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9841, kappa: 0.8444, kb_relative_information_score: 0.7747, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9841, prior_entropy: 0.3029, recall: 0.9841, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9865, kappa: 0.865, kb_relative_information_score: 0.8128, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9864, predictive_accuracy: 0.9868, prior_entropy: 0.3029, recall: 0.9868, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.115, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9855, kappa: 0.8544, kb_relative_information_score: 0.8011, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9855, predictive_accuracy: 0.9859, prior_entropy: 0.3029, recall: 0.9859, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9884, kappa: 0.8858, kb_relative_information_score: 0.8362, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9883, predictive_accuracy: 0.9884, prior_entropy: 0.3029, recall: 0.9884, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9876, kappa: 0.8776, kb_relative_information_score: 0.8245, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.3029, recall: 0.9876, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.988, kappa: 0.8821, kb_relative_information_score: 0.8303, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.3029, recall: 0.988, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9852, kappa: 0.8558, kb_relative_information_score: 0.7894, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.3029, recall: 0.9851, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.122, root_relative_squared_error: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9882, kappa: 0.8835, kb_relative_information_score: 0.8332, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9881, predictive_accuracy: 0.9882, prior_entropy: 0.3029, recall: 0.9882, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.9841, kappa: 0.8449, kb_relative_information_score: 0.7747, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9841, prior_entropy: 0.3029, recall: 0.9841, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9831, kappa: 0.8333, kb_relative_information_score: 0.763, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9833, prior_entropy: 0.3029, recall: 0.9833, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.987, kappa: 0.8702, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9869, predictive_accuracy: 0.9872, prior_entropy: 0.3029, recall: 0.9872, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9819, kappa: 0.8237, kb_relative_information_score: 0.7426, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9818, prior_entropy: 0.3029, recall: 0.9818, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.9169, kappa: -0.0106, kb_relative_information_score: 0.1545, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8947, predictive_accuracy: 0.9403, prior_entropy: 0.3029, recall: 0.9403, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2444, root_relative_squared_error: 1.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.918, kappa: -0.007, kb_relative_information_score: 0.1838, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8948, predictive_accuracy: 0.9423, prior_entropy: 0.3029, recall: 0.9423, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9853, kappa: 0.8565, kb_relative_information_score: 0.7923, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9854, predictive_accuracy: 0.9853, prior_entropy: 0.3029, recall: 0.9853, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9849, kappa: 0.8519, kb_relative_information_score: 0.7864, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.3029, recall: 0.9849, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.5437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9867, kappa: 0.869, kb_relative_information_score: 0.8128, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9866, predictive_accuracy: 0.9868, prior_entropy: 0.3029, recall: 0.9868, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.115, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.9673, kappa: 0.6384, kb_relative_information_score: 0.6021, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9722, predictive_accuracy: 0.9719, prior_entropy: 0.3029, recall: 0.9719, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.9405, kappa: 0.3017, kb_relative_information_score: 0.3447, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9465, predictive_accuracy: 0.9537, prior_entropy: 0.3029, recall: 0.9537, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.8923, kappa: -0.0532, kb_relative_information_score: -0.5271, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8925, predictive_accuracy: 0.8921, prior_entropy: 0.3029, recall: 0.8921, relative_absolute_error: 1.0553, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3284, root_relative_squared_error: 1.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4726, f_measure: 0.8917, kappa: -0.0539, kb_relative_information_score: -0.5447, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8924, predictive_accuracy: 0.8909, prior_entropy: 0.3029, recall: 0.8909, relative_absolute_error: 1.0674, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3303, root_relative_squared_error: 1.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9875, kappa: 0.8767, kb_relative_information_score: 0.8245, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9874, predictive_accuracy: 0.9876, prior_entropy: 0.3029, recall: 0.9876, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9867, kappa: 0.8664, kb_relative_information_score: 0.8157, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9866, predictive_accuracy: 0.987, prior_entropy: 0.3029, recall: 0.987, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9881, kappa: 0.8822, kb_relative_information_score: 0.8332, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.988, predictive_accuracy: 0.9882, prior_entropy: 0.3029, recall: 0.9882, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.9175, kappa: -0.0088, kb_relative_information_score: 0.1691, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8948, predictive_accuracy: 0.9413, prior_entropy: 0.3029, recall: 0.9413, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2423, root_relative_squared_error: 1.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.9809, kappa: 0.8049, kb_relative_information_score: 0.7426, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9818, prior_entropy: 0.3029, recall: 0.9818, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.977, kappa: 0.7542, kb_relative_information_score: 0.7045, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 0.3029, recall: 0.9791, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.9757, kappa: 0.7541, kb_relative_information_score: 0.6665, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9753, predictive_accuracy: 0.9764, prior_entropy: 0.3029, recall: 0.9764, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.6795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.8955, kappa: -0.0144, kb_relative_information_score: -0.492, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8965, predictive_accuracy: 0.8946, prior_entropy: 0.3029, recall: 0.8946, relative_absolute_error: 1.0311, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3246, root_relative_squared_error: 1.4372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9876, kappa: 0.8776, kb_relative_information_score: 0.8245, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.3029, recall: 0.9876, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9877, kappa: 0.8777, kb_relative_information_score: 0.8274, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9876, predictive_accuracy: 0.9878, prior_entropy: 0.3029, recall: 0.9878, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.9594, kappa: 0.5607, kb_relative_information_score: 0.488, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9596, predictive_accuracy: 0.9638, prior_entropy: 0.3029, recall: 0.9638, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9867, kappa: 0.869, kb_relative_information_score: 0.8128, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9866, predictive_accuracy: 0.9868, prior_entropy: 0.3029, recall: 0.9868, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.115, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.9878, kappa: 0.8791, kb_relative_information_score: 0.8303, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9878, predictive_accuracy: 0.988, prior_entropy: 0.3029, recall: 0.988, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8944, kappa: -0.033, kb_relative_information_score: -0.4979, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8946, predictive_accuracy: 0.8942, prior_entropy: 0.3029, recall: 0.8942, relative_absolute_error: 1.0351, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9197, kappa: -0.0004, kb_relative_information_score: 0.2335, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9459, prior_entropy: 0.3029, recall: 0.9459, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9197, kappa: -0.0004, kb_relative_information_score: 0.2335, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9459, prior_entropy: 0.3029, recall: 0.9459, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9195, kappa: -0.0012, kb_relative_information_score: 0.2277, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9454, prior_entropy: 0.3029, recall: 0.9454, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2336, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.9839, kappa: 0.8415, kb_relative_information_score: 0.7718, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9839, prior_entropy: 0.3029, recall: 0.9839, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.127, root_relative_squared_error: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.9847, kappa: 0.8496, kb_relative_information_score: 0.7835, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.3029, recall: 0.9847, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9811, kappa: 0.8116, kb_relative_information_score: 0.7367, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.9814, prior_entropy: 0.3029, recall: 0.9814, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9787, kappa: 0.7931, kb_relative_information_score: 0.6957, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9789, predictive_accuracy: 0.9785, prior_entropy: 0.3029, recall: 0.9785, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.9874, kappa: 0.8758, kb_relative_information_score: 0.8215, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9873, predictive_accuracy: 0.9874, prior_entropy: 0.3029, recall: 0.9874, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4706, f_measure: 0.8913, kappa: -0.0579, kb_relative_information_score: -0.5505, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.892, predictive_accuracy: 0.8905, prior_entropy: 0.3029, recall: 0.8905, relative_absolute_error: 1.0715, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.9779, kappa: 0.7691, kb_relative_information_score: 0.7074, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9784, predictive_accuracy: 0.9793, prior_entropy: 0.3029, recall: 0.9793, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9867, kappa: 0.8664, kb_relative_information_score: 0.8157, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9866, predictive_accuracy: 0.987, prior_entropy: 0.3029, recall: 0.987, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9877, kappa: 0.879, kb_relative_information_score: 0.8274, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9877, predictive_accuracy: 0.9878, prior_entropy: 0.3029, recall: 0.9878, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.8936, kappa: -0.0341, kb_relative_information_score: -0.5184, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8945, predictive_accuracy: 0.8927, prior_entropy: 0.3029, recall: 0.8927, relative_absolute_error: 1.0492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.9829, kappa: 0.8252, kb_relative_information_score: 0.7689, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3029, recall: 0.9837, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4859, f_measure: 0.8952, kappa: -0.0283, kb_relative_information_score: -0.4803, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8951, predictive_accuracy: 0.8954, prior_entropy: 0.3029, recall: 0.8954, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3234, root_relative_squared_error: 1.4315,

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