OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13044 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: 0.9927, f_measure: 0.7104, kappa: 0.7216, kb_relative_information_score: 1086.9576, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7308, predictive_accuracy: 0.7244, prior_entropy: 6.6439, recall: 0.7244, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.6645, kappa: 0.6869, kb_relative_information_score: 1055.2432, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6962, predictive_accuracy: 0.69, prior_entropy: 6.6439, recall: 0.69, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.5226, kappa: 0.5177, kb_relative_information_score: 1074.7984, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5352, predictive_accuracy: 0.5225, prior_entropy: 6.6439, recall: 0.5225, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7137, kappa: 0.7311, kb_relative_information_score: 1038.4083, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.742, predictive_accuracy: 0.7338, prior_entropy: 6.6439, recall: 0.7338, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7191, kappa: 0.733, kb_relative_information_score: 1007.3701, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7511, predictive_accuracy: 0.7356, prior_entropy: 6.6439, recall: 0.7356, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7957, kappa: 0.8005, kb_relative_information_score: 1095.6332, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8094, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7388, kappa: 0.75, kb_relative_information_score: 970.4141, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7681, predictive_accuracy: 0.7525, prior_entropy: 6.6439, recall: 0.7525, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.6176, kappa: 0.6446, kb_relative_information_score: 962.5895, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6739, predictive_accuracy: 0.6481, prior_entropy: 6.6439, recall: 0.6481, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.68, kappa: 0.702, kb_relative_information_score: 923.8273, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7172, predictive_accuracy: 0.705, prior_entropy: 6.6439, recall: 0.705, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.4664, kappa: 0.4956, kb_relative_information_score: 1008.675, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4929, predictive_accuracy: 0.5006, prior_entropy: 6.6439, recall: 0.5006, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7565, kappa: 0.7633, kb_relative_information_score: 1147.9418, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7697, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.6718, 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: 0.9965, f_measure: 0.8143, kappa: 0.8251, kb_relative_information_score: 824.6982, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8389, predictive_accuracy: 0.8269, prior_entropy: 6.6439, recall: 0.8269, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.834, kappa: 0.8378, kb_relative_information_score: 1126.4883, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8423, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, kappa: 0.3883, kb_relative_information_score: 940.4828, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3944, prior_entropy: 6.6439, recall: 0.3944, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7106, kappa: 0.726, kb_relative_information_score: 1055.7732, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.73, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.717, kappa: 0.7229, kb_relative_information_score: 1174.456, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7247, predictive_accuracy: 0.7256, prior_entropy: 6.6439, recall: 0.7256, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7923, kappa: 0.7973, kb_relative_information_score: 1198.5062, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7994, predictive_accuracy: 0.7994, prior_entropy: 6.6439, recall: 0.7994, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.069, root_relative_squared_error: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, kappa: 0.6446, kb_relative_information_score: 892.3469, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6481, prior_entropy: 6.6439, recall: 0.6481, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7831, kappa: 0.791, kb_relative_information_score: 1086.8098, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7962, predictive_accuracy: 0.7931, prior_entropy: 6.6439, recall: 0.7931, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.6843, kappa: 0.7027, kb_relative_information_score: 936.3547, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7327, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.6074, kappa: 0.6332, kb_relative_information_score: 1029.3482, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6315, predictive_accuracy: 0.6369, prior_entropy: 6.6439, recall: 0.6369, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.7198, kappa: 0.7298, kb_relative_information_score: 1154.7231, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7334, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, kappa: 0.4362, kb_relative_information_score: 965.1376, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8179, kappa: 0.8226, kb_relative_information_score: 1095.0276, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8289, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.767, kappa: 0.7746, kb_relative_information_score: 1121.1545, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7775, predictive_accuracy: 0.7769, prior_entropy: 6.6439, recall: 0.7769, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.495, kappa: 0.5107, kb_relative_information_score: 1038.7577, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5135, predictive_accuracy: 0.5156, prior_entropy: 6.6439, recall: 0.5156, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, kappa: 0.4943, kb_relative_information_score: 982.2273, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4994, prior_entropy: 6.6439, recall: 0.4994, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7426, kappa: 0.7449, kb_relative_information_score: 1179.4244, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.756, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.7276, kappa: 0.7393, kb_relative_information_score: 1124.4081, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7415, predictive_accuracy: 0.7419, prior_entropy: 6.6439, recall: 0.7419, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.784, kappa: 0.7961, kb_relative_information_score: 904.5234, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.815, predictive_accuracy: 0.7981, prior_entropy: 6.6439, recall: 0.7981, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7164, kappa: 0.7323, kb_relative_information_score: 985.2761, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7466, predictive_accuracy: 0.735, prior_entropy: 6.6439, recall: 0.735, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7764, kappa: 0.7803, kb_relative_information_score: 1218.4521, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7843, predictive_accuracy: 0.7825, prior_entropy: 6.6439, recall: 0.7825, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8094, kappa: 0.8138, kb_relative_information_score: 1116.9888, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8213, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.8461, kappa: 0.8516, kb_relative_information_score: 1042.8625, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8574, predictive_accuracy: 0.8531, prior_entropy: 6.6439, recall: 0.8531, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.8424, kappa: 0.8466, kb_relative_information_score: 1127.465, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8525, predictive_accuracy: 0.8481, prior_entropy: 6.6439, recall: 0.8481, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7117, kappa: 0.7285, kb_relative_information_score: 905.8512, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7475, predictive_accuracy: 0.7313, prior_entropy: 6.6439, recall: 0.7313, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7313, kappa: 0.7412, kb_relative_information_score: 1144.0056, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7436, predictive_accuracy: 0.7438, prior_entropy: 6.6439, recall: 0.7438, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7956, kappa: 0.8024, kb_relative_information_score: 1093.3296, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8113, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7992, kappa: 0.8018, kb_relative_information_score: 1132.6433, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.812, predictive_accuracy: 0.8038, prior_entropy: 6.6439, recall: 0.8038, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7602, kappa: 0.7746, kb_relative_information_score: 892.8961, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7835, predictive_accuracy: 0.7769, prior_entropy: 6.6439, recall: 0.7769, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.7938, kappa: 0.7973, kb_relative_information_score: 1138.5699, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8064, predictive_accuracy: 0.7994, prior_entropy: 6.6439, recall: 0.7994, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7493, kappa: 0.7538, kb_relative_information_score: 1187.7472, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7581, predictive_accuracy: 0.7563, prior_entropy: 6.6439, recall: 0.7563, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, kappa: 0.6806, kb_relative_information_score: 945.7282, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6838, prior_entropy: 6.6439, recall: 0.6838, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.7336, kappa: 0.7348, kb_relative_information_score: 1223.2388, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7392, predictive_accuracy: 0.7375, prior_entropy: 6.6439, recall: 0.7375, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7538, kappa: 0.7664, kb_relative_information_score: 950.1921, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7866, predictive_accuracy: 0.7688, prior_entropy: 6.6439, recall: 0.7688, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.6361, kappa: 0.6332, kb_relative_information_score: 1184.31, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6434, predictive_accuracy: 0.6369, prior_entropy: 6.6439, recall: 0.6369, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8076, kappa: 0.8112, kb_relative_information_score: 1118.6148, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8193, predictive_accuracy: 0.8131, prior_entropy: 6.6439, recall: 0.8131, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.6788, kappa: 0.6907, kb_relative_information_score: 1111.5849, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6972, predictive_accuracy: 0.6938, prior_entropy: 6.6439, recall: 0.6938, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.6503, kappa: 0.6572, kb_relative_information_score: 1138.1141, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6614, predictive_accuracy: 0.6606, prior_entropy: 6.6439, recall: 0.6606, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, kappa: 0.5922, kb_relative_information_score: 1007.2676, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5963, prior_entropy: 6.6439, recall: 0.5963, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.589, kappa: 0.6206, kb_relative_information_score: 948.3789, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6393, predictive_accuracy: 0.6244, prior_entropy: 6.6439, recall: 0.6244, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7253, kappa: 0.7424, kb_relative_information_score: 861.8705, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7546, predictive_accuracy: 0.745, prior_entropy: 6.6439, recall: 0.745, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8098, kappa: 0.8201, kb_relative_information_score: 933.5401, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8331, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8427, kappa: 0.8403, kb_relative_information_score: 1346.4479, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8477, predictive_accuracy: 0.8419, prior_entropy: 6.6439, recall: 0.8419, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.5652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.2291, kappa: 0.2077, kb_relative_information_score: 342.2611, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3047, predictive_accuracy: 0.2156, prior_entropy: 6.6439, recall: 0.2156, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1252, root_relative_squared_error: 1.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.472, kappa: 0.4596, kb_relative_information_score: 742.1319, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4994, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1034, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.6479, kappa: 0.5631, kb_relative_information_score: 906.4898, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8039, predictive_accuracy: 0.5675, prior_entropy: 6.6439, recall: 0.5675, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8438, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8486, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8475, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8521, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.2204, kappa: 0.2001, kb_relative_information_score: 330.2349, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3, predictive_accuracy: 0.2081, prior_entropy: 6.6439, recall: 0.2081, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1258, root_relative_squared_error: 1.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2991, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8393, kappa: 0.8378, kb_relative_information_score: 1342.4391, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8457, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, kappa: 0.0537, kb_relative_information_score: 97.7286, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0631, prior_entropy: 6.6439, recall: 0.0631, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1369, root_relative_squared_error: 1.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.6647, kappa: 0.6604, kb_relative_information_score: 1060.8259, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6885, predictive_accuracy: 0.6638, prior_entropy: 6.6439, recall: 0.6638, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.082, root_relative_squared_error: 0.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2195, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.299, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8447, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8502, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2194, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2984, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, kappa: 0.0758, kb_relative_information_score: 132.805, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.085, prior_entropy: 6.6439, recall: 0.085, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1353, root_relative_squared_error: 1.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8441, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8479, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8427, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8485, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8444, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8509, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, kappa: 0.0398, kb_relative_information_score: 75.6806, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0494, prior_entropy: 6.6439, recall: 0.0494, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.508, kappa: 0.4975, kb_relative_information_score: 802.2628, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5333, predictive_accuracy: 0.5025, prior_entropy: 6.6439, recall: 0.5025, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0997, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7713, kappa: 0.774, kb_relative_information_score: 1205.9539, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7824, predictive_accuracy: 0.7763, prior_entropy: 6.6439, recall: 0.7763, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.809, kappa: 0.815, kb_relative_information_score: 1059.3029, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8223, predictive_accuracy: 0.8169, prior_entropy: 6.6439, recall: 0.8169, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.6102, kappa: 0.637, kb_relative_information_score: 963.2669, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6605, predictive_accuracy: 0.6406, prior_entropy: 6.6439, recall: 0.6406, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7687, kappa: 0.7765, kb_relative_information_score: 1143.1747, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7836, predictive_accuracy: 0.7788, prior_entropy: 6.6439, recall: 0.7788, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.6109, kappa: 0.6402, kb_relative_information_score: 947.4173, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6719, predictive_accuracy: 0.6438, prior_entropy: 6.6439, recall: 0.6438, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.746, kappa: 0.7582, kb_relative_information_score: 982.888, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7701, predictive_accuracy: 0.7606, prior_entropy: 6.6439, recall: 0.7606, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, kappa: 0.4836, kb_relative_information_score: 979.9941, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4888, prior_entropy: 6.6439, recall: 0.4888, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8108, kappa: 0.8144, kb_relative_information_score: 1138.501, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8217, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, kappa: 0.6414, kb_relative_information_score: 920.0216, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.645, prior_entropy: 6.6439, recall: 0.645, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, kappa: 0.4444, kb_relative_information_score: 955.6508, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.45, prior_entropy: 6.6439, recall: 0.45, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.711, kappa: 0.7235, kb_relative_information_score: 1031.1318, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7421, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, kappa: 0.6894, kb_relative_information_score: 897.825, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6925, prior_entropy: 6.6439, recall: 0.6925, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7974, kappa: 0.7992, kb_relative_information_score: 1179.3348, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8055, predictive_accuracy: 0.8013, prior_entropy: 6.6439, recall: 0.8013, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, kappa: 0.678, kb_relative_information_score: 915.4826, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6813, prior_entropy: 6.6439, recall: 0.6813, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8158, kappa: 0.8194, kb_relative_information_score: 1196.3379, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8233, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.6549, kappa: 0.6749, kb_relative_information_score: 1045.7729, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6856, predictive_accuracy: 0.6781, prior_entropy: 6.6439, recall: 0.6781, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.6457, kappa: 0.6559, kb_relative_information_score: 1128.3373, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6547, predictive_accuracy: 0.6594, prior_entropy: 6.6439, recall: 0.6594, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7083, kappa: 0.726, kb_relative_information_score: 1027.5847, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7442, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, kappa: 0.5473, kb_relative_information_score: 1035.4223, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5519, prior_entropy: 6.6439, recall: 0.5519, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.5523, kappa: 0.5562, kb_relative_information_score: 1103.0957, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5579, predictive_accuracy: 0.5606, prior_entropy: 6.6439, recall: 0.5606, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7498, kappa: 0.7652, kb_relative_information_score: 980.5676, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7818, predictive_accuracy: 0.7675, prior_entropy: 6.6439, recall: 0.7675, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.4887, kappa: 0.4937, kb_relative_information_score: 1052.0134, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4951, predictive_accuracy: 0.4988, prior_entropy: 6.6439, recall: 0.4988, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.7983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8254, kappa: 0.8295, kb_relative_information_score: 1103.237, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8365, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.7683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, kappa: 0.5309, kb_relative_information_score: 1055.7411, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5356, prior_entropy: 6.6439, recall: 0.5356, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.7953,

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