OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.809, kappa: 0.8043, kb_relative_information_score: 982.8609, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8172, predictive_accuracy: 0.8063, prior_entropy: 6.6439, recall: 0.8063, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.6069, kappa: 0.6313, kb_relative_information_score: 946.871, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6646, predictive_accuracy: 0.635, prior_entropy: 6.6439, recall: 0.635, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, kappa: 0.5556, kb_relative_information_score: 1020.2357, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.56, prior_entropy: 6.6439, recall: 0.56, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, kappa: 0.0802, kb_relative_information_score: 142.7971, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0894, prior_entropy: 6.6439, recall: 0.0894, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7517, kappa: 0.7569, kb_relative_information_score: 1120.5338, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7648, predictive_accuracy: 0.7594, prior_entropy: 6.6439, recall: 0.7594, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7899, kappa: 0.7955, kb_relative_information_score: 1157.0965, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7995, predictive_accuracy: 0.7975, prior_entropy: 6.6439, recall: 0.7975, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, kappa: 0.6408, kb_relative_information_score: 905.7307, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6444, prior_entropy: 6.6439, recall: 0.6444, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.6701, kappa: 0.6768, kb_relative_information_score: 1155.7395, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.675, predictive_accuracy: 0.68, prior_entropy: 6.6439, recall: 0.68, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.7255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7993, kappa: 0.7942, kb_relative_information_score: 978.6008, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8088, predictive_accuracy: 0.7963, prior_entropy: 6.6439, recall: 0.7963, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8212, kappa: 0.8239, kb_relative_information_score: 1183.4705, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7906, kappa: 0.7948, kb_relative_information_score: 1172.9827, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7975, predictive_accuracy: 0.7969, prior_entropy: 6.6439, recall: 0.7969, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.071, root_relative_squared_error: 0.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.6122, kappa: 0.6301, kb_relative_information_score: 1080.5587, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6464, predictive_accuracy: 0.6338, prior_entropy: 6.6439, recall: 0.6338, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.6671, kappa: 0.6761, kb_relative_information_score: 1121.8009, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6905, predictive_accuracy: 0.6794, prior_entropy: 6.6439, recall: 0.6794, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.6953, kappa: 0.7008, kb_relative_information_score: 1161.8402, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7007, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.637, kb_relative_information_score: 905.4762, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6406, prior_entropy: 6.6439, recall: 0.6406, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7245, kappa: 0.738, kb_relative_information_score: 991.5763, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7526, predictive_accuracy: 0.7406, prior_entropy: 6.6439, recall: 0.7406, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7573, kappa: 0.7614, kb_relative_information_score: 1123.0997, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7713, predictive_accuracy: 0.7638, prior_entropy: 6.6439, recall: 0.7638, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.6563, kappa: 0.6755, kb_relative_information_score: 1011.0688, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6964, predictive_accuracy: 0.6788, prior_entropy: 6.6439, recall: 0.6788, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.5544, kappa: 0.5581, kb_relative_information_score: 1104.8456, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5598, predictive_accuracy: 0.5625, prior_entropy: 6.6439, recall: 0.5625, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.6935, kappa: 0.7008, kb_relative_information_score: 1148.0894, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.708, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7186, kappa: 0.7279, kb_relative_information_score: 1060.8123, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7435, predictive_accuracy: 0.7306, prior_entropy: 6.6439, recall: 0.7306, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.4985, kappa: 0.5196, kb_relative_information_score: 1030.3237, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5111, predictive_accuracy: 0.5244, prior_entropy: 6.6439, recall: 0.5244, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.6837, kappa: 0.7001, kb_relative_information_score: 1058.8712, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7053, predictive_accuracy: 0.7031, prior_entropy: 6.6439, recall: 0.7031, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7925, kappa: 0.7967, kb_relative_information_score: 1157.6799, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8026, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6609, kappa: 0.6635, kb_relative_information_score: 1165.4063, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6707, predictive_accuracy: 0.6669, prior_entropy: 6.6439, recall: 0.6669, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7872, kappa: 0.7847, kb_relative_information_score: 1367.4893, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7943, predictive_accuracy: 0.7869, prior_entropy: 6.6439, recall: 0.7869, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.5535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8208, kappa: 0.8163, kb_relative_information_score: 983.4392, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8292, predictive_accuracy: 0.8181, prior_entropy: 6.6439, recall: 0.8181, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, kappa: 0.351, kb_relative_information_score: 0.0742, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3575, prior_entropy: 6.6439, recall: 0.3575, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.5028, kappa: 0.5177, kb_relative_information_score: 1045.96, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5211, predictive_accuracy: 0.5225, prior_entropy: 6.6439, recall: 0.5225, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.6748, kappa: 0.6768, kb_relative_information_score: 1172.9642, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6836, predictive_accuracy: 0.68, prior_entropy: 6.6439, recall: 0.68, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.7129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.6591, kappa: 0.6597, kb_relative_information_score: 1177.9644, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6682, predictive_accuracy: 0.6631, prior_entropy: 6.6439, recall: 0.6631, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7648, kappa: 0.7721, kb_relative_information_score: 1084.3954, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7824, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4633, kappa: -0.0044, kb_relative_information_score: 3.2048, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7284, kappa: 0.738, kb_relative_information_score: 1059.6231, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7506, predictive_accuracy: 0.7406, prior_entropy: 6.6439, recall: 0.7406, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.8027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7171, kappa: 0.7241, kb_relative_information_score: 1136.0607, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7326, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.6957, kappa: 0.7153, kb_relative_information_score: 985.1653, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7283, predictive_accuracy: 0.7181, prior_entropy: 6.6439, recall: 0.7181, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8131, kappa: 0.8144, kb_relative_information_score: 1210.8293, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8193, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.6856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7262, kappa: 0.7405, kb_relative_information_score: 954.3491, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7571, predictive_accuracy: 0.7431, prior_entropy: 6.6439, recall: 0.7431, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8131, kappa: 0.8201, kb_relative_information_score: 1086.7218, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8281, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.5763, kappa: 0.6023, kb_relative_information_score: 987.9288, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6268, predictive_accuracy: 0.6063, prior_entropy: 6.6439, recall: 0.6063, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7576, kappa: 0.7658, kb_relative_information_score: 1035.3706, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7802, predictive_accuracy: 0.7681, prior_entropy: 6.6439, recall: 0.7681, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8199, kappa: 0.822, kb_relative_information_score: 1237.1688, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.827, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.78, kappa: 0.786, kb_relative_information_score: 1135.0206, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7924, predictive_accuracy: 0.7881, prior_entropy: 6.6439, recall: 0.7881, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.691, kappa: 0.7096, kb_relative_information_score: 894.8417, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7333, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7577, kappa: 0.7683, kb_relative_information_score: 1053.8614, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7698, predictive_accuracy: 0.7706, prior_entropy: 6.6439, recall: 0.7706, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.6423, kappa: 0.6515, kb_relative_information_score: 1118.3406, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6612, predictive_accuracy: 0.655, prior_entropy: 6.6439, recall: 0.655, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.5348, kappa: 0.5379, kb_relative_information_score: 1081.8904, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5424, predictive_accuracy: 0.5425, prior_entropy: 6.6439, recall: 0.5425, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.7299, kappa: 0.7399, kb_relative_information_score: 1103.6022, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7467, predictive_accuracy: 0.7425, prior_entropy: 6.6439, recall: 0.7425, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, kappa: 0.416, kb_relative_information_score: 791.9151, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4219, prior_entropy: 6.6439, recall: 0.4219, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7558, kappa: 0.7652, kb_relative_information_score: 1076.2642, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.773, predictive_accuracy: 0.7675, prior_entropy: 6.6439, recall: 0.7675, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.7877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8038, kappa: 0.8056, kb_relative_information_score: 1187.9794, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8135, predictive_accuracy: 0.8075, prior_entropy: 6.6439, recall: 0.8075, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.7047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7496, kappa: 0.7582, kb_relative_information_score: 1044.607, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7742, predictive_accuracy: 0.7606, prior_entropy: 6.6439, recall: 0.7606, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8079, kappa: 0.8119, kb_relative_information_score: 1142.0664, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8167, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7389, kappa: 0.7449, kb_relative_information_score: 1161.8693, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7566, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.072, root_relative_squared_error: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7458, kappa: 0.7538, kb_relative_information_score: 1092.6649, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7608, predictive_accuracy: 0.7563, prior_entropy: 6.6439, recall: 0.7563, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.6429, kappa: 0.6629, kb_relative_information_score: 1070.3133, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6725, predictive_accuracy: 0.6663, prior_entropy: 6.6439, recall: 0.6663, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.7933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.381, kappa: -0.0088, kb_relative_information_score: 31.4459, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.663, kappa: 0.6446, kb_relative_information_score: 1041.0941, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7211, predictive_accuracy: 0.6481, prior_entropy: 6.6439, recall: 0.6481, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, kappa: 0.7014, kb_relative_information_score: 868.2042, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, kappa: 0.7273, kb_relative_information_score: 1000.8655, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.73, prior_entropy: 6.6439, recall: 0.73, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7737, kappa: 0.7828, kb_relative_information_score: 1050.4991, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7906, predictive_accuracy: 0.785, prior_entropy: 6.6439, recall: 0.785, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.6136, kb_relative_information_score: 1052.8867, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7524, kappa: 0.7525, kb_relative_information_score: 1231.3777, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7602, predictive_accuracy: 0.755, prior_entropy: 6.6439, recall: 0.755, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.6944, kappa: 0.7083, kb_relative_information_score: 1022.1819, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7215, predictive_accuracy: 0.7113, prior_entropy: 6.6439, recall: 0.7113, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7424, kappa: 0.7481, kb_relative_information_score: 1106.4627, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7586, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, kappa: 0.56, kb_relative_information_score: 1016.5044, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5644, prior_entropy: 6.6439, recall: 0.5644, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.082, root_relative_squared_error: 0.8241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.7052, kappa: 0.7128, kb_relative_information_score: 0.2328, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7243, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7705, kappa: 0.7734, kb_relative_information_score: 1173.7017, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7814, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7116, kappa: 0.7254, kb_relative_information_score: 1017.9995, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7375, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7421, kappa: 0.7519, kb_relative_information_score: 1051.5561, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7636, predictive_accuracy: 0.7544, prior_entropy: 6.6439, recall: 0.7544, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7741, kappa: 0.7847, kb_relative_information_score: 1046.7557, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7902, predictive_accuracy: 0.7869, prior_entropy: 6.6439, recall: 0.7869, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7255, kappa: 0.738, kb_relative_information_score: 1106.2772, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7404, predictive_accuracy: 0.7406, prior_entropy: 6.6439, recall: 0.7406, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.6971, kappa: 0.7083, kb_relative_information_score: 1107.866, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7181, predictive_accuracy: 0.7113, prior_entropy: 6.6439, recall: 0.7113, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7066, kappa: 0.7273, kb_relative_information_score: 908.7581, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7395, predictive_accuracy: 0.73, prior_entropy: 6.6439, recall: 0.73, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7284, kappa: 0.7431, kb_relative_information_score: 1023.1433, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7592, predictive_accuracy: 0.7456, prior_entropy: 6.6439, recall: 0.7456, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.754, kappa: 0.762, kb_relative_information_score: 1101.3198, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7724, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7873, kappa: 0.7904, kb_relative_information_score: 1144.5401, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7986, predictive_accuracy: 0.7925, prior_entropy: 6.6439, recall: 0.7925, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, kappa: -0.0101, kb_relative_information_score: 27.8832, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7655, kappa: 0.7708, kb_relative_information_score: 1139.8898, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7777, predictive_accuracy: 0.7731, prior_entropy: 6.6439, recall: 0.7731, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7764, kappa: 0.767, kb_relative_information_score: 1335.1137, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8024, predictive_accuracy: 0.7694, prior_entropy: 6.6439, recall: 0.7694, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.665, kappa: 0.6648, kb_relative_information_score: 1201.2721, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6695, predictive_accuracy: 0.6681, prior_entropy: 6.6439, recall: 0.6681, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, kappa: 0.0303, kb_relative_information_score: 15.4599, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.04, prior_entropy: 6.6439, recall: 0.04, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, kappa: 0.0025, kb_relative_information_score: 75.4709, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.6888, kappa: 0.7027, kb_relative_information_score: 1008.0651, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.717, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3291, kappa: -0.0101, kb_relative_information_score: 45.4583, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.7302, kappa: 0.7431, kb_relative_information_score: 1072.6184, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7543, predictive_accuracy: 0.7456, prior_entropy: 6.6439, recall: 0.7456, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.774, kappa: 0.7771, kb_relative_information_score: 1150.3977, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7857, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7908, kappa: 0.7986, kb_relative_information_score: 1100.5814, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8043, predictive_accuracy: 0.8006, prior_entropy: 6.6439, recall: 0.8006, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.6725, kappa: 0.6913, kb_relative_information_score: 952.4201, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7145, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.6328, kappa: 0.6376, kb_relative_information_score: 1146.7786, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6379, predictive_accuracy: 0.6413, prior_entropy: 6.6439, recall: 0.6413, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.6823, kappa: 0.7027, kb_relative_information_score: 949.4293, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7254, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7815, kappa: 0.7778, kb_relative_information_score: 963.0175, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7895, predictive_accuracy: 0.78, prior_entropy: 6.6439, recall: 0.78, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, kappa: 0.6913, kb_relative_information_score: 872.846, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, kappa: 0.1572, kb_relative_information_score: 285.7023, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1656, prior_entropy: 6.6439, recall: 0.1656, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7407, kappa: 0.7551, kb_relative_information_score: 960.8376, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7695, predictive_accuracy: 0.7575, prior_entropy: 6.6439, recall: 0.7575, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.6876, kappa: 0.7045, kb_relative_information_score: 929.6043, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7331, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, kappa: 0.5467, kb_relative_information_score: 1004.8517, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5513, prior_entropy: 6.6439, recall: 0.5513, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7664, kappa: 0.7753, kb_relative_information_score: 1044.571, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7841, predictive_accuracy: 0.7775, prior_entropy: 6.6439, recall: 0.7775, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, kappa: 0.6016, kb_relative_information_score: 905.5664, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6056, prior_entropy: 6.6439, recall: 0.6056, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, kappa: 0.6534, kb_relative_information_score: 941.9563, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6569, prior_entropy: 6.6439, recall: 0.6569, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8699,

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