Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4183, f_measure: 0.2034, kappa: -0.1496, kb_relative_information_score: -0.0785, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.2113, predictive_accuracy: 0.2227, prior_entropy: 1.7146, recall: 0.2227, relative_absolute_error: 1.1733, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.6234, root_relative_squared_error: 1.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7119, kappa: 0.5719, kb_relative_information_score: 0.5776, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7724, predictive_accuracy: 0.7309, prior_entropy: 1.7146, recall: 0.7309, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8883, kappa: 0.8305, kb_relative_information_score: 0.8348, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8911, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.903, kappa: 0.8532, kb_relative_information_score: 0.8623, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9032, predictive_accuracy: 0.9032, prior_entropy: 1.7146, recall: 0.9032, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.22, root_relative_squared_error: 0.5405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8961, kappa: 0.8428, kb_relative_information_score: 0.854, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8963, predictive_accuracy: 0.8963, prior_entropy: 1.7146, recall: 0.8963, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8907, kappa: 0.8344, kb_relative_information_score: 0.8435, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8913, predictive_accuracy: 0.8911, prior_entropy: 1.7146, recall: 0.8911, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9239, kappa: 0.8848, kb_relative_information_score: 0.892, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.924, predictive_accuracy: 0.9239, prior_entropy: 1.7146, recall: 0.9239, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9286, kappa: 0.892, kb_relative_information_score: 0.8992, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 1.7146, recall: 0.9287, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8839, kappa: 0.8239, kb_relative_information_score: 0.8341, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8846, predictive_accuracy: 0.8843, prior_entropy: 1.7146, recall: 0.8843, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9219, kappa: 0.8818, kb_relative_information_score: 0.8898, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.922, predictive_accuracy: 0.9219, prior_entropy: 1.7146, recall: 0.9219, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9277, kappa: 0.8907, kb_relative_information_score: 0.8979, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 1.7146, recall: 0.9278, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.856, kappa: 0.7811, kb_relative_information_score: 0.7852, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8602, predictive_accuracy: 0.8576, prior_entropy: 1.7146, recall: 0.8576, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9255, kappa: 0.8873, kb_relative_information_score: 0.8945, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9257, predictive_accuracy: 0.9256, prior_entropy: 1.7146, recall: 0.9256, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8876, kappa: 0.8302, kb_relative_information_score: 0.8469, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8887, predictive_accuracy: 0.8873, prior_entropy: 1.7146, recall: 0.8873, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8299, kappa: 0.7427, kb_relative_information_score: 0.759, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8334, predictive_accuracy: 0.8321, prior_entropy: 1.7146, recall: 0.8321, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9294, kappa: 0.8933, kb_relative_information_score: 0.9012, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9295, predictive_accuracy: 0.9294, prior_entropy: 1.7146, recall: 0.9294, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9114, kappa: 0.8658, kb_relative_information_score: 0.8751, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9116, predictive_accuracy: 0.9115, prior_entropy: 1.7146, recall: 0.9115, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8598, kappa: 0.7865, kb_relative_information_score: 0.791, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8676, predictive_accuracy: 0.8609, prior_entropy: 1.7146, recall: 0.8609, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.6977, kappa: 0.542, kb_relative_information_score: 0.5688, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7128, predictive_accuracy: 0.7055, prior_entropy: 1.7146, recall: 0.7055, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, kappa: 0.2885, kb_relative_information_score: 0.3298, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5656, prior_entropy: 1.7146, recall: 0.5656, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.466, root_relative_squared_error: 1.1452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8993, kappa: 0.8475, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9005, predictive_accuracy: 0.8997, prior_entropy: 1.7146, recall: 0.8997, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.5502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8872, kappa: 0.8288, kb_relative_information_score: 0.8333, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8899, predictive_accuracy: 0.8878, prior_entropy: 1.7146, recall: 0.8878, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.5364, kappa: 0.309, kb_relative_information_score: 0.3538, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5413, predictive_accuracy: 0.5632, prior_entropy: 1.7146, recall: 0.5632, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.1484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.5466, kappa: 0.332, kb_relative_information_score: 0.3758, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5918, predictive_accuracy: 0.5814, prior_entropy: 1.7146, recall: 0.5814, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4575, root_relative_squared_error: 1.1242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7658, kappa: 0.6511, kb_relative_information_score: 0.6716, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7791, predictive_accuracy: 0.7746, prior_entropy: 1.7146, recall: 0.7746, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.6753, kappa: 0.5091, kb_relative_information_score: 0.5431, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.698, predictive_accuracy: 0.6738, prior_entropy: 1.7146, recall: 0.6738, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.4046, kappa: 0.1062, kb_relative_information_score: 0.1506, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4063, predictive_accuracy: 0.4095, prior_entropy: 1.7146, recall: 0.4095, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5434, root_relative_squared_error: 1.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.5778, kappa: 0.3609, kb_relative_information_score: 0.3985, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.603, predictive_accuracy: 0.5777, prior_entropy: 1.7146, recall: 0.5777, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.1292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9196, kappa: 0.8785, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.92, predictive_accuracy: 0.9195, prior_entropy: 1.7146, recall: 0.9195, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9272, kappa: 0.89, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9273, predictive_accuracy: 0.9272, prior_entropy: 1.7146, recall: 0.9272, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9261, kappa: 0.8885, kb_relative_information_score: 0.8978, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9262, predictive_accuracy: 0.9261, prior_entropy: 1.7146, recall: 0.9261, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9174, kappa: 0.875, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9176, predictive_accuracy: 0.9175, prior_entropy: 1.7146, recall: 0.9175, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7903, kappa: 0.6861, kb_relative_information_score: 0.7038, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7997, predictive_accuracy: 0.7966, prior_entropy: 1.7146, recall: 0.7966, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7721, kappa: 0.6613, kb_relative_information_score: 0.6816, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7849, predictive_accuracy: 0.7808, prior_entropy: 1.7146, recall: 0.7808, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9158, kappa: 0.8727, kb_relative_information_score: 0.8787, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9161, predictive_accuracy: 0.9161, prior_entropy: 1.7146, recall: 0.9161, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.9053, kappa: 0.8566, kb_relative_information_score: 0.8662, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9054, predictive_accuracy: 0.9054, prior_entropy: 1.7146, recall: 0.9054, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7621, kappa: 0.6347, kb_relative_information_score: 0.6444, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8179, predictive_accuracy: 0.7661, prior_entropy: 1.7146, recall: 0.7661, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9252, kappa: 0.8868, kb_relative_information_score: 0.8941, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9252, predictive_accuracy: 0.9252, prior_entropy: 1.7146, recall: 0.9252, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9213, kappa: 0.881, kb_relative_information_score: 0.8886, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9214, predictive_accuracy: 0.9214, prior_entropy: 1.7146, recall: 0.9214, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9307, kappa: 0.8951, kb_relative_information_score: 0.9027, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9308, predictive_accuracy: 0.9307, prior_entropy: 1.7146, recall: 0.9307, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7302, kappa: 0.5891, kb_relative_information_score: 0.6158, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7369, predictive_accuracy: 0.7322, prior_entropy: 1.7146, recall: 0.7322, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.6541, kappa: 0.4874, kb_relative_information_score: 0.5147, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.71, predictive_accuracy: 0.6756, prior_entropy: 1.7146, recall: 0.6756, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.729, kappa: 0.594, kb_relative_information_score: 0.6122, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7563, predictive_accuracy: 0.7408, prior_entropy: 1.7146, recall: 0.7408, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8704, kappa: 0.803, kb_relative_information_score: 0.8071, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8757, predictive_accuracy: 0.8713, prior_entropy: 1.7146, recall: 0.8713, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9244, kappa: 0.8856, kb_relative_information_score: 0.8945, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9247, predictive_accuracy: 0.9243, prior_entropy: 1.7146, recall: 0.9243, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7234, kappa: 0.5793, kb_relative_information_score: 0.6062, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7311, predictive_accuracy: 0.7264, prior_entropy: 1.7146, recall: 0.7264, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.7115, kappa: 0.562, kb_relative_information_score: 0.5893, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7219, predictive_accuracy: 0.7166, prior_entropy: 1.7146, recall: 0.7166, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8825, kappa: 0.8216, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.886, predictive_accuracy: 0.8832, prior_entropy: 1.7146, recall: 0.8832, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, kappa: 0.2817, kb_relative_information_score: 0.322, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5625, prior_entropy: 1.7146, recall: 0.5625, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.5194, kappa: 0.3089, kb_relative_information_score: 0.3531, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.621, predictive_accuracy: 0.5737, prior_entropy: 1.7146, recall: 0.5737, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4617, root_relative_squared_error: 1.1345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8716, kappa: 0.8054, kb_relative_information_score: 0.819, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.872, predictive_accuracy: 0.8719, prior_entropy: 1.7146, recall: 0.8719, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.4424, kappa: 0.1676, kb_relative_information_score: 0.2281, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4519, predictive_accuracy: 0.439, prior_entropy: 1.7146, recall: 0.439, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5296, root_relative_squared_error: 1.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.919, kappa: 0.8775, kb_relative_information_score: 0.8874, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9191, predictive_accuracy: 0.919, prior_entropy: 1.7146, recall: 0.919, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7086, kappa: 0.558, kb_relative_information_score: 0.5846, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7216, predictive_accuracy: 0.7152, prior_entropy: 1.7146, recall: 0.7152, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, kappa: 0.293, kb_relative_information_score: 0.3304, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5695, prior_entropy: 1.7146, recall: 0.5695, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.464, root_relative_squared_error: 1.1401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, kappa: 0.3266, kb_relative_information_score: 0.3555, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5905, prior_entropy: 1.7146, recall: 0.5905, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.576, kappa: 0.3776, kb_relative_information_score: 0.4137, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.666, predictive_accuracy: 0.6114, prior_entropy: 1.7146, recall: 0.6114, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9265, kappa: 0.8889, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9265, predictive_accuracy: 0.9265, prior_entropy: 1.7146, recall: 0.9265, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9316, kappa: 0.8966, kb_relative_information_score: 0.9036, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 1.7146, recall: 0.9316, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9309, kappa: 0.8955, kb_relative_information_score: 0.9024, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 1.7146, recall: 0.9309, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.5166, kappa: 0.2654, kb_relative_information_score: 0.3112, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5147, predictive_accuracy: 0.5247, prior_entropy: 1.7146, recall: 0.5247, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4875, root_relative_squared_error: 1.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7647, kappa: 0.6499, kb_relative_information_score: 0.6712, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7786, predictive_accuracy: 0.7736, prior_entropy: 1.7146, recall: 0.7736, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9134, kappa: 0.869, kb_relative_information_score: 0.875, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9138, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9156, kappa: 0.8723, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9157, predictive_accuracy: 0.9157, prior_entropy: 1.7146, recall: 0.9157, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9255, kappa: 0.8874, kb_relative_information_score: 0.8951, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9256, predictive_accuracy: 0.9256, prior_entropy: 1.7146, recall: 0.9256, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9214, kappa: 0.8812, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9215, predictive_accuracy: 0.9216, prior_entropy: 1.7146, recall: 0.9216, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8853, kappa: 0.8263, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8858, predictive_accuracy: 0.8858, prior_entropy: 1.7146, recall: 0.8858, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7832, kappa: 0.6664, kb_relative_information_score: 0.6766, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8263, predictive_accuracy: 0.7854, prior_entropy: 1.7146, recall: 0.7854, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9296, kappa: 0.8934, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9297, predictive_accuracy: 0.9296, prior_entropy: 1.7146, recall: 0.9296, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7296, kappa: 0.5882, kb_relative_information_score: 0.6153, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7365, predictive_accuracy: 0.7317, prior_entropy: 1.7146, recall: 0.7317, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7298, kappa: 0.5885, kb_relative_information_score: 0.6157, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7366, predictive_accuracy: 0.7319, prior_entropy: 1.7146, recall: 0.7319, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7298, kappa: 0.5886, kb_relative_information_score: 0.6156, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7372, predictive_accuracy: 0.732, prior_entropy: 1.7146, recall: 0.732, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.366, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7305, kappa: 0.5897, kb_relative_information_score: 0.6167, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7373, predictive_accuracy: 0.7326, prior_entropy: 1.7146, recall: 0.7326, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, kappa: 0.3092, kb_relative_information_score: 0.3436, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.581, prior_entropy: 1.7146, recall: 0.581, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.1247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8766, kappa: 0.8125, kb_relative_information_score: 0.8168, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8808, predictive_accuracy: 0.8774, prior_entropy: 1.7146, recall: 0.8774, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7146, kappa: 0.5665, kb_relative_information_score: 0.5937, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7244, predictive_accuracy: 0.7192, prior_entropy: 1.7146, recall: 0.7192, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8911, kappa: 0.8349, kb_relative_information_score: 0.8399, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8932, predictive_accuracy: 0.8917, prior_entropy: 1.7146, recall: 0.8917, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.9054, kappa: 0.8568, kb_relative_information_score: 0.8626, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9062, predictive_accuracy: 0.9058, prior_entropy: 1.7146, recall: 0.9058, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.217, root_relative_squared_error: 0.5333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7494, kappa: 0.6248, kb_relative_information_score: 0.6451, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7648, predictive_accuracy: 0.7582, prior_entropy: 1.7146, recall: 0.7582, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7556, kappa: 0.6292, kb_relative_information_score: 0.6513, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7626, predictive_accuracy: 0.7582, prior_entropy: 1.7146, recall: 0.7582, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9187, kappa: 0.877, kb_relative_information_score: 0.8847, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9189, predictive_accuracy: 0.9188, prior_entropy: 1.7146, recall: 0.9188, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.875, kappa: 0.8107, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8766, predictive_accuracy: 0.8746, prior_entropy: 1.7146, recall: 0.8746, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8816, kappa: 0.8204, kb_relative_information_score: 0.8248, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8836, predictive_accuracy: 0.8825, prior_entropy: 1.7146, recall: 0.8825, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9286, kappa: 0.8919, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9288, predictive_accuracy: 0.9285, prior_entropy: 1.7146, recall: 0.9285, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7285, kappa: 0.584, kb_relative_information_score: 0.5971, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.808, predictive_accuracy: 0.735, prior_entropy: 1.7146, recall: 0.735, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.364, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.6808, kappa: 0.5148, kb_relative_information_score: 0.5309, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7977, predictive_accuracy: 0.6939, prior_entropy: 1.7146, recall: 0.6939, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.925, kappa: 0.8865, kb_relative_information_score: 0.8932, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 1.7146, recall: 0.925, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.3428, kappa: 0.0944, kb_relative_information_score: 0.198, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6851, predictive_accuracy: 0.4562, prior_entropy: 1.7146, recall: 0.4562, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, kappa: 0.3279, kb_relative_information_score: 0.3567, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5916, prior_entropy: 1.7146, recall: 0.5916, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.1104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8668, kappa: 0.798, kb_relative_information_score: 0.8106, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8678, predictive_accuracy: 0.8675, prior_entropy: 1.7146, recall: 0.8675, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.6381, kappa: 0.4644, kb_relative_information_score: 0.4937, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7046, predictive_accuracy: 0.662, prior_entropy: 1.7146, recall: 0.662, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4111, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.8065, kappa: 0.7091, kb_relative_information_score: 0.7262, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8136, predictive_accuracy: 0.811, prior_entropy: 1.7146, recall: 0.811, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.847, kappa: 0.7676, kb_relative_information_score: 0.7829, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8491, predictive_accuracy: 0.8481, prior_entropy: 1.7146, recall: 0.8481, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8743, kappa: 0.8095, kb_relative_information_score: 0.8275, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8759, predictive_accuracy: 0.8739, prior_entropy: 1.7146, recall: 0.8739, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9143, kappa: 0.8703, kb_relative_information_score: 0.8786, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9144, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8642, kappa: 0.7947, kb_relative_information_score: 0.8119, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8658, predictive_accuracy: 0.8638, prior_entropy: 1.7146, recall: 0.8638, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.6412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.3515, kappa: 0.0396, kb_relative_information_score: 0.0819, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3661, predictive_accuracy: 0.3585, prior_entropy: 1.7146, recall: 0.3585, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5663, root_relative_squared_error: 1.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9264, kappa: 0.8887, kb_relative_information_score: 0.896, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9265, predictive_accuracy: 0.9265, prior_entropy: 1.7146, recall: 0.9265, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4711,

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