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: 0.9934, f_measure: 0.7445, kappa: 0.7481, kb_relative_information_score: 1203.6174, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7523, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.7995, kappa: 0.8081, kb_relative_information_score: 1068.0838, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8171, predictive_accuracy: 0.81, prior_entropy: 6.6439, recall: 0.81, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7218, kappa: 0.7361, kb_relative_information_score: 1029.4896, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.745, predictive_accuracy: 0.7388, prior_entropy: 6.6439, recall: 0.7388, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8102, kappa: 0.8131, kb_relative_information_score: 1176.8069, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8182, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.071, root_relative_squared_error: 0.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.7163, kappa: 0.7298, kb_relative_information_score: 1105.1022, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.732, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7491, kappa: 0.7544, kb_relative_information_score: 1104.2302, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7671, predictive_accuracy: 0.7569, prior_entropy: 6.6439, recall: 0.7569, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7799, kappa: 0.7891, kb_relative_information_score: 1093.0757, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.6806, kappa: 0.6963, kb_relative_information_score: 1012.186, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7153, predictive_accuracy: 0.6994, prior_entropy: 6.6439, recall: 0.6994, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.6766, kappa: 0.6799, kb_relative_information_score: 1160.3219, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6885, predictive_accuracy: 0.6831, prior_entropy: 6.6439, recall: 0.6831, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7369, kappa: 0.7437, kb_relative_information_score: 1149.8226, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7515, predictive_accuracy: 0.7463, prior_entropy: 6.6439, recall: 0.7463, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.6289, kappa: 0.6484, kb_relative_information_score: 942.0004, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6762, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7821, kappa: 0.7879, kb_relative_information_score: 1162.6379, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7916, predictive_accuracy: 0.79, prior_entropy: 6.6439, recall: 0.79, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.6502, kappa: 0.6736, kb_relative_information_score: 912.768, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.684, predictive_accuracy: 0.6769, prior_entropy: 6.6439, recall: 0.6769, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.6922, kappa: 0.709, kb_relative_information_score: 977.6351, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7202, predictive_accuracy: 0.7119, prior_entropy: 6.6439, recall: 0.7119, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7002, kappa: 0.7197, kb_relative_information_score: 964.0274, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7309, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.651, kappa: 0.6705, kb_relative_information_score: 923.4043, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7051, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.8506, 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: 0.9921, f_measure: 0.6939, kappa: 0.7052, kb_relative_information_score: 1132.7729, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7026, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.7443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.719, kappa: 0.7323, kb_relative_information_score: 997.0954, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.738, predictive_accuracy: 0.735, prior_entropy: 6.6439, recall: 0.735, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.701, kappa: 0.7008, kb_relative_information_score: 1208.3112, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7094, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7161, kappa: 0.7254, kb_relative_information_score: 1120.3124, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7332, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7539, kappa: 0.7639, kb_relative_information_score: 1061.0075, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.777, predictive_accuracy: 0.7663, prior_entropy: 6.6439, recall: 0.7663, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8028, kappa: 0.8106, kb_relative_information_score: 1061.5389, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8191, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 0.7606, 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: 0.9926, f_measure: 0.648, kappa: 0.6667, kb_relative_information_score: 953.9267, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7048, predictive_accuracy: 0.67, prior_entropy: 6.6439, recall: 0.67, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.5727, kappa: 0.5928, kb_relative_information_score: 1063.5303, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6015, predictive_accuracy: 0.5969, prior_entropy: 6.6439, recall: 0.5969, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7368, kappa: 0.7449, kb_relative_information_score: 1079.7812, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7547, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, kappa: 0.5505, kb_relative_information_score: 1000.6809, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.555, prior_entropy: 6.6439, recall: 0.555, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.6894, kappa: 0.6995, kb_relative_information_score: 1109.382, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7111, predictive_accuracy: 0.7025, prior_entropy: 6.6439, recall: 0.7025, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.7648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, kappa: 0.6275, kb_relative_information_score: 1068.1187, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6313, prior_entropy: 6.6439, recall: 0.6313, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.079, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7516, kappa: 0.7633, kb_relative_information_score: 1081.8502, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7702, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, kappa: 0.6585, kb_relative_information_score: 944.6055, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6619, prior_entropy: 6.6439, recall: 0.6619, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.6712, kappa: 0.6913, kb_relative_information_score: 956.0128, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.705, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7529, kappa: 0.7595, kb_relative_information_score: 1129.5741, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7666, predictive_accuracy: 0.7619, prior_entropy: 6.6439, recall: 0.7619, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, kappa: 0.6705, kb_relative_information_score: 902.1517, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7783, kappa: 0.7784, kb_relative_information_score: 1234.9365, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7841, predictive_accuracy: 0.7806, prior_entropy: 6.6439, recall: 0.7806, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.6031, kappa: 0.6067, kb_relative_information_score: 1133.237, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.607, predictive_accuracy: 0.6106, prior_entropy: 6.6439, recall: 0.6106, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.6774, kappa: 0.6951, kb_relative_information_score: 1032.6556, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7115, predictive_accuracy: 0.6981, prior_entropy: 6.6439, recall: 0.6981, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.6557, kappa: 0.673, kb_relative_information_score: 937.3977, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7077, predictive_accuracy: 0.6763, prior_entropy: 6.6439, recall: 0.6763, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.7021, kappa: 0.7172, kb_relative_information_score: 983.1958, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7385, predictive_accuracy: 0.72, prior_entropy: 6.6439, recall: 0.72, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.6707, kappa: 0.6875, kb_relative_information_score: 994.573, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.711, predictive_accuracy: 0.6906, prior_entropy: 6.6439, recall: 0.6906, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7823, kappa: 0.7872, kb_relative_information_score: 1155.8957, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7948, predictive_accuracy: 0.7894, prior_entropy: 6.6439, recall: 0.7894, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7669, kappa: 0.7753, kb_relative_information_score: 1132.2862, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7797, predictive_accuracy: 0.7775, prior_entropy: 6.6439, recall: 0.7775, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.7472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7408, kappa: 0.7525, kb_relative_information_score: 1064.8348, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7588, predictive_accuracy: 0.755, prior_entropy: 6.6439, recall: 0.755, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.6174, kappa: 0.6402, kb_relative_information_score: 935.0535, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6639, predictive_accuracy: 0.6438, prior_entropy: 6.6439, recall: 0.6438, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.7974, kappa: 0.7992, kb_relative_information_score: 1178.0426, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8059, predictive_accuracy: 0.8013, prior_entropy: 6.6439, recall: 0.8013, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.687, kappa: 0.7058, kb_relative_information_score: 970.22, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7153, predictive_accuracy: 0.7088, prior_entropy: 6.6439, recall: 0.7088, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.7386, kappa: 0.7393, kb_relative_information_score: 1235.4428, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7477, predictive_accuracy: 0.7419, prior_entropy: 6.6439, recall: 0.7419, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.7309, kappa: 0.7317, kb_relative_information_score: 1207.4722, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7395, predictive_accuracy: 0.7344, prior_entropy: 6.6439, recall: 0.7344, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.6503, kappa: 0.6711, kb_relative_information_score: 1029.5572, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6779, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7165, kappa: 0.726, kb_relative_information_score: 1060.8119, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7448, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7409, kappa: 0.7551, kb_relative_information_score: 1003.097, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7626, predictive_accuracy: 0.7575, prior_entropy: 6.6439, recall: 0.7575, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.708, kappa: 0.7109, kb_relative_information_score: 887.7504, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7377, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, kappa: 0.0139, kb_relative_information_score: 24.8564, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0238, prior_entropy: 6.6439, recall: 0.0238, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7874, kappa: 0.7936, kb_relative_information_score: 1116.8452, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7996, predictive_accuracy: 0.7956, prior_entropy: 6.6439, recall: 0.7956, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7537, kappa: 0.7626, kb_relative_information_score: 1121.7468, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7686, predictive_accuracy: 0.765, prior_entropy: 6.6439, recall: 0.765, relative_absolute_error: 0.7016, 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: 0.9951, f_measure: 0.7324, kappa: 0.7475, kb_relative_information_score: 911.8982, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7643, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8119, kappa: 0.815, kb_relative_information_score: 1171.2267, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8188, predictive_accuracy: 0.8169, prior_entropy: 6.6439, recall: 0.8169, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.7168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8153, kappa: 0.8182, kb_relative_information_score: 1175.4859, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8274, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.071, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7559, kappa: 0.7677, kb_relative_information_score: 1044.9885, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7777, predictive_accuracy: 0.77, prior_entropy: 6.6439, recall: 0.77, relative_absolute_error: 0.771, 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: 0.9968, f_measure: 0.845, kappa: 0.8479, kb_relative_information_score: 1133.5643, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8509, predictive_accuracy: 0.8494, prior_entropy: 6.6439, recall: 0.8494, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7826, kappa: 0.791, kb_relative_information_score: 1060.8577, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7977, predictive_accuracy: 0.7931, prior_entropy: 6.6439, recall: 0.7931, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7228, kappa: 0.7254, kb_relative_information_score: 1180.4993, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7339, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8051, kappa: 0.8119, kb_relative_information_score: 1117.2638, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8191, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.6989, kappa: 0.702, kb_relative_information_score: 1169.76, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7097, predictive_accuracy: 0.705, prior_entropy: 6.6439, recall: 0.705, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.6885, kappa: 0.7058, kb_relative_information_score: 950.6108, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7309, predictive_accuracy: 0.7088, prior_entropy: 6.6439, recall: 0.7088, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7407, kappa: 0.7582, kb_relative_information_score: 948.5134, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7682, predictive_accuracy: 0.7606, prior_entropy: 6.6439, recall: 0.7606, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8018, kappa: 0.8093, kb_relative_information_score: 1019.9342, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8127, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.6142, kappa: 0.6364, kb_relative_information_score: 1027.04, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6395, predictive_accuracy: 0.64, prior_entropy: 6.6439, recall: 0.64, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.8206, kappa: 0.8226, kb_relative_information_score: 1211.4939, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8252, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.068, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7802, kappa: 0.7879, kb_relative_information_score: 1077.1862, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 6.6439, recall: 0.79, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.6672, kappa: 0.6711, kb_relative_information_score: 1157.1393, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6768, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7861, kappa: 0.7942, kb_relative_information_score: 1104.9537, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7965, predictive_accuracy: 0.7963, prior_entropy: 6.6439, recall: 0.7963, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7042, kappa: 0.7235, kb_relative_information_score: 919.7203, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.746, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.6605, kappa: 0.6698, kb_relative_information_score: 1120.4381, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.675, predictive_accuracy: 0.6731, prior_entropy: 6.6439, recall: 0.6731, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.6767, kappa: 0.697, kb_relative_information_score: 970.6343, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.711, predictive_accuracy: 0.7, prior_entropy: 6.6439, recall: 0.7, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8077, kappa: 0.8087, kb_relative_information_score: 1176.2096, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8177, predictive_accuracy: 0.8106, prior_entropy: 6.6439, recall: 0.8106, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.7145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.726, kappa: 0.7386, kb_relative_information_score: 1050.4829, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.749, predictive_accuracy: 0.7413, prior_entropy: 6.6439, recall: 0.7413, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.5892, kappa: 0.5947, kb_relative_information_score: 1110.7899, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.602, predictive_accuracy: 0.5988, prior_entropy: 6.6439, recall: 0.5988, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.5905, kappa: 0.6149, kb_relative_information_score: 1028.9591, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6406, predictive_accuracy: 0.6188, prior_entropy: 6.6439, recall: 0.6188, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4671, kappa: 0.0265, kb_relative_information_score: 32.6898, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0363, prior_entropy: 6.6439, recall: 0.0363, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.816, kappa: 0.822, kb_relative_information_score: 1142.1422, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8251, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7145, kappa: 0.7317, kb_relative_information_score: 982.949, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7482, predictive_accuracy: 0.7344, prior_entropy: 6.6439, recall: 0.7344, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, kappa: 0.7361, kb_relative_information_score: 883.3267, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7388, prior_entropy: 6.6439, recall: 0.7388, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1684, kappa: -0.0076, kb_relative_information_score: 1.0728, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, 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: 0.9943, f_measure: 0.7619, kappa: 0.762, kb_relative_information_score: 946.0543, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7747, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8187, kappa: 0.8138, kb_relative_information_score: 981.3467, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8286, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, kappa: 0.0025, kb_relative_information_score: 23.2573, 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: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3208, kappa: -0.0076, kb_relative_information_score: 8.3653, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1, 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: 0.9885, f_measure: 0.6147, kappa: 0.6193, kb_relative_information_score: 1139.8202, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6184, predictive_accuracy: 0.6231, prior_entropy: 6.6439, recall: 0.6231, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.6706, kappa: 0.6888, kb_relative_information_score: 908.5788, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7049, predictive_accuracy: 0.6919, prior_entropy: 6.6439, recall: 0.6919, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7938, kappa: 0.7967, kb_relative_information_score: 1166.1323, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8042, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.6404, kappa: 0.6484, kb_relative_information_score: 1120.6856, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6551, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.655, 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: 0.9905, kappa: 0.7001, kb_relative_information_score: 843.099, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7031, prior_entropy: 6.6439, recall: 0.7031, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.787, kappa: 0.7948, kb_relative_information_score: 1063.3332, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8021, predictive_accuracy: 0.7969, prior_entropy: 6.6439, recall: 0.7969, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, kappa: 0.5328, kb_relative_information_score: 1052.8848, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5375, prior_entropy: 6.6439, recall: 0.5375, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7311, kappa: 0.7443, kb_relative_information_score: 1044.1641, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7522, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.596, kb_relative_information_score: 1016.59, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6, prior_entropy: 6.6439, recall: 0.6, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7544, kappa: 0.762, kb_relative_information_score: 1091.8484, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7725, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.707, kappa: 0.7266, kb_relative_information_score: 980.1191, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7358, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.823, kappa: 0.8188, kb_relative_information_score: 987.2033, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8327, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3884, kb_relative_information_score: 28.9284, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,

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