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: 0.9928, kappa: 0.6654, kb_relative_information_score: 956.4664, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6688, prior_entropy: 6.6439, recall: 0.6688, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, kappa: 0.6875, kb_relative_information_score: 907.3467, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6906, prior_entropy: 6.6439, recall: 0.6906, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, kappa: 0.4899, kb_relative_information_score: 1004.8112, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.495, prior_entropy: 6.6439, recall: 0.495, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8009, kappa: 0.7955, kb_relative_information_score: 979.6181, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8121, predictive_accuracy: 0.7975, prior_entropy: 6.6439, recall: 0.7975, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.689, kappa: 0.7064, kb_relative_information_score: 969.1939, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7158, predictive_accuracy: 0.7094, prior_entropy: 6.6439, recall: 0.7094, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7314, kappa: 0.7393, kb_relative_information_score: 1084.6764, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.748, predictive_accuracy: 0.7419, prior_entropy: 6.6439, recall: 0.7419, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.7851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.5802, kappa: 0.5934, kb_relative_information_score: 758.7094, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5974, predictive_accuracy: 0.5975, prior_entropy: 6.6439, recall: 0.5975, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, kappa: 0.69, kb_relative_information_score: 989.7449, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6931, prior_entropy: 6.6439, recall: 0.6931, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.6372, kappa: 0.6585, kb_relative_information_score: 884.0481, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6934, predictive_accuracy: 0.6619, prior_entropy: 6.6439, recall: 0.6619, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.5678, kappa: 0.5915, kb_relative_information_score: 1022.6859, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5943, predictive_accuracy: 0.5956, prior_entropy: 6.6439, recall: 0.5956, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.6398, kappa: 0.6654, kb_relative_information_score: 929.7532, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6801, predictive_accuracy: 0.6688, prior_entropy: 6.6439, recall: 0.6688, relative_absolute_error: 0.8446, 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: 0.9965, f_measure: 0.829, kappa: 0.8258, kb_relative_information_score: 983.4385, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8378, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.6982, kappa: 0.7146, kb_relative_information_score: 995.9093, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7323, predictive_accuracy: 0.7175, prior_entropy: 6.6439, recall: 0.7175, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.6083, kappa: 0.608, kb_relative_information_score: 1145.8343, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6137, predictive_accuracy: 0.6119, prior_entropy: 6.6439, recall: 0.6119, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3082, kappa: -0.0019, kb_relative_information_score: 13.0329, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.6712, kappa: 0.6742, kb_relative_information_score: 1178.0021, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6816, predictive_accuracy: 0.6775, prior_entropy: 6.6439, recall: 0.6775, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.7092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.7081, kappa: 0.7241, kb_relative_information_score: 1088.3408, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7255, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.7783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7827, kappa: 0.7898, kb_relative_information_score: 1120.4014, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7995, predictive_accuracy: 0.7919, prior_entropy: 6.6439, recall: 0.7919, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.6967, kappa: 0.7121, kb_relative_information_score: 1043.8038, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.722, predictive_accuracy: 0.715, prior_entropy: 6.6439, recall: 0.715, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.5871, kappa: 0.5909, kb_relative_information_score: 1121.5489, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6014, predictive_accuracy: 0.595, prior_entropy: 6.6439, recall: 0.595, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7413, kappa: 0.7538, kb_relative_information_score: 1040.217, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7569, predictive_accuracy: 0.7563, prior_entropy: 6.6439, recall: 0.7563, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7817, kappa: 0.7923, kb_relative_information_score: 1057.8652, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7986, predictive_accuracy: 0.7944, prior_entropy: 6.6439, recall: 0.7944, relative_absolute_error: 0.7639, 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: 0.6666, kappa: 0.0025, kb_relative_information_score: 46.4975, 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: 0.9992, 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: 0.9868, f_measure: 0.6116, kappa: 0.6187, kb_relative_information_score: 1119.17, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6236, predictive_accuracy: 0.6225, prior_entropy: 6.6439, recall: 0.6225, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, kappa: 0.6023, kb_relative_information_score: 1050.0836, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6063, prior_entropy: 6.6439, recall: 0.6063, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.63, kappa: 0.6383, kb_relative_information_score: 1131.6193, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6333, predictive_accuracy: 0.6419, prior_entropy: 6.6439, recall: 0.6419, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.7347, kappa: 0.7437, kb_relative_information_score: 1099.1967, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7495, predictive_accuracy: 0.7463, prior_entropy: 6.6439, recall: 0.7463, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.7705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8028, kappa: 0.8068, kb_relative_information_score: 1149.9591, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8107, predictive_accuracy: 0.8088, prior_entropy: 6.6439, recall: 0.8088, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.6974, kappa: 0.7115, kb_relative_information_score: 996.682, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7275, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7837, kappa: 0.7917, kb_relative_information_score: 1137.2262, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7955, predictive_accuracy: 0.7938, prior_entropy: 6.6439, recall: 0.7938, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.5682, kappa: 0.5928, kb_relative_information_score: 1011.781, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5966, predictive_accuracy: 0.5969, prior_entropy: 6.6439, recall: 0.5969, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.6825, kappa: 0.6938, kb_relative_information_score: 1111.1897, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7029, predictive_accuracy: 0.6969, prior_entropy: 6.6439, recall: 0.6969, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7389, kappa: 0.7475, kb_relative_information_score: 1078.2591, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7566, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7773, kappa: 0.7797, kb_relative_information_score: 1154.9385, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7858, predictive_accuracy: 0.7819, prior_entropy: 6.6439, recall: 0.7819, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.6969, kappa: 0.7045, kb_relative_information_score: 1124.7839, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7171, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7744, kappa: 0.7753, kb_relative_information_score: 1240.3261, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7831, predictive_accuracy: 0.7775, prior_entropy: 6.6439, recall: 0.7775, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.6602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7412, kappa: 0.7513, kb_relative_information_score: 1129.0359, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.753, predictive_accuracy: 0.7538, prior_entropy: 6.6439, recall: 0.7538, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7724, kappa: 0.7771, kb_relative_information_score: 1138.9841, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7843, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7008, kappa: 0.7172, kb_relative_information_score: 978.9853, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7427, predictive_accuracy: 0.72, prior_entropy: 6.6439, recall: 0.72, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, kappa: 0.4842, kb_relative_information_score: 997.8187, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4894, prior_entropy: 6.6439, recall: 0.4894, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.6964, kappa: 0.7109, kb_relative_information_score: 931.5557, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7275, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7283, kappa: 0.7431, kb_relative_information_score: 1024.9367, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.745, 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: 0.0818, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6189, kappa: 0.6427, kb_relative_information_score: 993.008, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6621, predictive_accuracy: 0.6463, prior_entropy: 6.6439, recall: 0.6463, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7523, kappa: 0.7563, kb_relative_information_score: 1124.0108, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7659, predictive_accuracy: 0.7588, prior_entropy: 6.6439, recall: 0.7588, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.7284, kappa: 0.7386, kb_relative_information_score: 1064.5046, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7503, predictive_accuracy: 0.7413, prior_entropy: 6.6439, recall: 0.7413, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7438, kappa: 0.7475, kb_relative_information_score: 1190.8537, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7532, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.7007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7276, kappa: 0.738, kb_relative_information_score: 1039.2965, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7532, predictive_accuracy: 0.7406, prior_entropy: 6.6439, recall: 0.7406, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.7035, kappa: 0.721, kb_relative_information_score: 983.1358, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7327, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7789, kappa: 0.786, kb_relative_information_score: 1089.9244, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7971, predictive_accuracy: 0.7881, prior_entropy: 6.6439, recall: 0.7881, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, kappa: 0.5846, kb_relative_information_score: 1049.0822, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5888, prior_entropy: 6.6439, recall: 0.5888, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.7029, kappa: 0.7027, kb_relative_information_score: 1217.8247, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7087, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.6789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8057, kappa: 0.81, kb_relative_information_score: 1189.7858, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8161, predictive_accuracy: 0.8119, prior_entropy: 6.6439, recall: 0.8119, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.6836, kappa: 0.7014, kb_relative_information_score: 994.4065, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7142, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.6133, kappa: 0.6345, kb_relative_information_score: 1055.5712, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6291, predictive_accuracy: 0.6381, prior_entropy: 6.6439, recall: 0.6381, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, kappa: 0.541, kb_relative_information_score: 654.5679, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5456, prior_entropy: 6.6439, recall: 0.5456, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, kappa: 0.0417, kb_relative_information_score: 69.7853, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0513, prior_entropy: 6.6439, recall: 0.0513, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8012, kappa: 0.8049, kb_relative_information_score: 1209.473, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8085, predictive_accuracy: 0.8069, prior_entropy: 6.6439, recall: 0.8069, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.736, kappa: 0.7424, kb_relative_information_score: 1168.2341, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7469, predictive_accuracy: 0.745, prior_entropy: 6.6439, recall: 0.745, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3436, kappa: -0.0038, kb_relative_information_score: 20.924, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, kappa: 0.6225, kb_relative_information_score: 1043.0889, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6263, prior_entropy: 6.6439, recall: 0.6263, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, kappa: 0.4451, kb_relative_information_score: 339.163, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4506, prior_entropy: 6.6439, recall: 0.4506, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.6224, kappa: 0.6452, kb_relative_information_score: 1055.4776, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.644, predictive_accuracy: 0.6488, prior_entropy: 6.6439, recall: 0.6488, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.78, kappa: 0.7891, kb_relative_information_score: 1053.5348, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7939, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7005, kappa: 0.7071, kb_relative_information_score: 1148.5154, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7132, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.637, kappa: 0.661, kb_relative_information_score: 942.4924, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.685, predictive_accuracy: 0.6644, prior_entropy: 6.6439, recall: 0.6644, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, kappa: 0.0025, kb_relative_information_score: 61.319, 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: 0.9989, 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: 0.9877, f_measure: 0.6114, kappa: 0.6193, kb_relative_information_score: 1124.0214, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6241, predictive_accuracy: 0.6231, prior_entropy: 6.6439, recall: 0.6231, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7651, kappa: 0.7771, kb_relative_information_score: 1040.3708, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.78, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.776, kappa: 0.7854, kb_relative_information_score: 1048.4509, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7919, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.6746, kappa: 0.6944, kb_relative_information_score: 973.5315, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7068, predictive_accuracy: 0.6975, prior_entropy: 6.6439, recall: 0.6975, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7985, kappa: 0.803, kb_relative_information_score: 1207.5787, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.805, predictive_accuracy: 0.805, prior_entropy: 6.6439, recall: 0.805, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.6866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.7955, kappa: 0.7973, kb_relative_information_score: 1174.9159, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8047, predictive_accuracy: 0.7994, prior_entropy: 6.6439, recall: 0.7994, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.804, kappa: 0.8074, kb_relative_information_score: 1165.4533, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8119, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.6543, kappa: 0.6755, kb_relative_information_score: 1012.1114, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6922, predictive_accuracy: 0.6788, prior_entropy: 6.6439, recall: 0.6788, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.827, kappa: 0.8302, kb_relative_information_score: 1153.1443, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.835, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3323, kappa: -0.0095, kb_relative_information_score: 22.7244, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0006, prior_entropy: 6.6439, recall: 0.0006, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3185, kappa: -0.0101, kb_relative_information_score: 6.5114, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, kappa: -0.0025, kb_relative_information_score: 51.8786, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3888, kappa: -0.0088, kb_relative_information_score: 57.9257, 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: 0.9991, 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: 0.9952, f_measure: 0.7469, kappa: 0.7487, kb_relative_information_score: 1213.2337, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7574, predictive_accuracy: 0.7513, prior_entropy: 6.6439, recall: 0.7513, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.6841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.6853, kappa: 0.6976, kb_relative_information_score: 1094.0166, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7079, predictive_accuracy: 0.7006, prior_entropy: 6.6439, recall: 0.7006, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7853, kappa: 0.7917, kb_relative_information_score: 1150.9115, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7966, predictive_accuracy: 0.7938, prior_entropy: 6.6439, recall: 0.7938, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.6926, kappa: 0.7071, kb_relative_information_score: 1025.0194, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7197, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.6857, kappa: 0.7064, kb_relative_information_score: 932.4421, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7207, predictive_accuracy: 0.7094, prior_entropy: 6.6439, recall: 0.7094, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, kappa: 0.5271, kb_relative_information_score: 994.045, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5319, prior_entropy: 6.6439, recall: 0.5319, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, kappa: 0.5972, kb_relative_information_score: 1027.6718, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6013, prior_entropy: 6.6439, recall: 0.6013, relative_absolute_error: 0.7673, 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: 0.9959, f_measure: 0.7926, kappa: 0.803, kb_relative_information_score: 1064.9651, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8077, predictive_accuracy: 0.805, prior_entropy: 6.6439, recall: 0.805, relative_absolute_error: 0.7563, 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: 0.9964, f_measure: 0.8268, kappa: 0.8232, kb_relative_information_score: 982.018, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8355, predictive_accuracy: 0.825, prior_entropy: 6.6439, recall: 0.825, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8231, kappa: 0.8194, kb_relative_information_score: 980.756, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8327, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8251, kappa: 0.822, kb_relative_information_score: 984.886, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8331, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7338, kappa: 0.7386, kb_relative_information_score: 1103.5712, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7519, predictive_accuracy: 0.7413, prior_entropy: 6.6439, recall: 0.7413, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7346, kappa: 0.7456, kb_relative_information_score: 1010.185, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7613, predictive_accuracy: 0.7481, prior_entropy: 6.6439, recall: 0.7481, relative_absolute_error: 0.7989, 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: 0.99, f_measure: 0.5923, kappa: 0.6155, kb_relative_information_score: 1063.3038, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6253, predictive_accuracy: 0.6194, prior_entropy: 6.6439, recall: 0.6194, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.7963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.4985, kappa: 0.5057, kb_relative_information_score: 1057.411, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5073, predictive_accuracy: 0.5106, prior_entropy: 6.6439, recall: 0.5106, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7539, kappa: 0.7652, kb_relative_information_score: 1010.6803, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7777, predictive_accuracy: 0.7675, prior_entropy: 6.6439, recall: 0.7675, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7663, kappa: 0.779, kb_relative_information_score: 911.0671, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7907, predictive_accuracy: 0.7813, prior_entropy: 6.6439, recall: 0.7813, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.7732, kappa: 0.7689, kb_relative_information_score: 0.1896, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7859, predictive_accuracy: 0.7713, prior_entropy: 6.6439, recall: 0.7713, 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: 0.9914, f_measure: 0.6371, kappa: 0.6616, kb_relative_information_score: 928.7695, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6759, predictive_accuracy: 0.665, prior_entropy: 6.6439, recall: 0.665, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.5498, kappa: 0.5682, kb_relative_information_score: 1071.5516, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5686, predictive_accuracy: 0.5725, prior_entropy: 6.6439, recall: 0.5725, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.7867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, kappa: 0.7197, kb_relative_information_score: 874.6046, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8927,

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

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

OpenML APIs