OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13044 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, kappa: 0.666, kb_relative_information_score: 928.9054, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6694, prior_entropy: 6.6439, recall: 0.6694, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.704, kappa: 0.7222, kb_relative_information_score: 963.6944, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7392, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.6766, kappa: 0.7008, kb_relative_information_score: 970.1836, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7135, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.694, kappa: 0.6944, kb_relative_information_score: 1192.9433, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7034, predictive_accuracy: 0.6975, prior_entropy: 6.6439, recall: 0.6975, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7016, kappa: 0.714, kb_relative_information_score: 1048.9187, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7198, predictive_accuracy: 0.7169, prior_entropy: 6.6439, recall: 0.7169, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8029, kappa: 0.8093, kb_relative_information_score: 1065.6521, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8196, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.079, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7344, kappa: 0.7481, kb_relative_information_score: 987.8938, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7555, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7324, kappa: 0.7462, kb_relative_information_score: 976.8031, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7587, predictive_accuracy: 0.7488, prior_entropy: 6.6439, recall: 0.7488, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7442, kappa: 0.7475, kb_relative_information_score: 1129.9146, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7611, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7672, kappa: 0.7727, kb_relative_information_score: 1121.8037, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7813, predictive_accuracy: 0.775, prior_entropy: 6.6439, recall: 0.775, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7617, kappa: 0.7708, kb_relative_information_score: 1021.1343, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7805, predictive_accuracy: 0.7731, prior_entropy: 6.6439, recall: 0.7731, relative_absolute_error: 0.7905, 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: 0.9944, f_measure: 0.7112, kappa: 0.7222, kb_relative_information_score: 1019.5725, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7371, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, kappa: 0.6553, kb_relative_information_score: 956.7117, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6588, prior_entropy: 6.6439, recall: 0.6588, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7331, kappa: 0.7475, kb_relative_information_score: 910.5468, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7719, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, kappa: 0.6155, kb_relative_information_score: 1053.9172, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6194, prior_entropy: 6.6439, recall: 0.6194, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7083, kappa: 0.7222, kb_relative_information_score: 1022.7852, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.739, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7596, kappa: 0.7708, kb_relative_information_score: 1025.8167, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7816, predictive_accuracy: 0.7731, prior_entropy: 6.6439, recall: 0.7731, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.7999, kappa: 0.8024, kb_relative_information_score: 1161.6089, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.811, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.6893, kappa: 0.7077, kb_relative_information_score: 1011.2411, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7166, predictive_accuracy: 0.7106, prior_entropy: 6.6439, recall: 0.7106, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.7176, kappa: 0.7285, kb_relative_information_score: 1082.5901, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7374, predictive_accuracy: 0.7313, prior_entropy: 6.6439, recall: 0.7313, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.7828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7551, kappa: 0.762, kb_relative_information_score: 1148.2539, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7672, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7341, kappa: 0.7468, kb_relative_information_score: 957.7195, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7629, predictive_accuracy: 0.7494, prior_entropy: 6.6439, recall: 0.7494, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, kappa: 0.6395, kb_relative_information_score: 917.927, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6431, prior_entropy: 6.6439, recall: 0.6431, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7309, kappa: 0.7443, kb_relative_information_score: 687.1032, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.759, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8045, kappa: 0.8074, kb_relative_information_score: 1151.4995, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8143, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, kappa: 0.5057, kb_relative_information_score: 1003.2431, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5106, prior_entropy: 6.6439, recall: 0.5106, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7522, kappa: 0.7563, kb_relative_information_score: 1163.4468, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7647, predictive_accuracy: 0.7588, prior_entropy: 6.6439, recall: 0.7588, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.072, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.778, kappa: 0.7847, kb_relative_information_score: 1113.0302, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7947, predictive_accuracy: 0.7869, prior_entropy: 6.6439, recall: 0.7869, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.797, kappa: 0.7992, kb_relative_information_score: 1185.6088, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.805, predictive_accuracy: 0.8013, prior_entropy: 6.6439, recall: 0.8013, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.4781, kappa: 0.4943, kb_relative_information_score: 1025.9539, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4932, predictive_accuracy: 0.4994, prior_entropy: 6.6439, recall: 0.4994, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.694, kappa: 0.7071, kb_relative_information_score: 1076.6676, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7153, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.5977, kappa: 0.6244, kb_relative_information_score: 918.7065, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6533, predictive_accuracy: 0.6281, prior_entropy: 6.6439, recall: 0.6281, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, kappa: 0.3914, kb_relative_information_score: 932.3862, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3975, prior_entropy: 6.6439, recall: 0.3975, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.757, kappa: 0.7721, kb_relative_information_score: 907.2469, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7822, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7353, kappa: 0.7487, kb_relative_information_score: 973.7661, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.76, predictive_accuracy: 0.7513, prior_entropy: 6.6439, recall: 0.7513, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7593, kappa: 0.7689, kb_relative_information_score: 1091.3325, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7754, predictive_accuracy: 0.7713, prior_entropy: 6.6439, recall: 0.7713, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.6506, kappa: 0.6742, kb_relative_information_score: 926.6454, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7057, predictive_accuracy: 0.6775, prior_entropy: 6.6439, recall: 0.6775, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8338, kappa: 0.8378, kb_relative_information_score: 1130.0383, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8418, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7961, kappa: 0.8024, kb_relative_information_score: 1145.2064, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8094, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8281, kappa: 0.8302, kb_relative_information_score: 1241.726, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8321, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, kappa: 0.4053, kb_relative_information_score: 946.645, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4113, prior_entropy: 6.6439, recall: 0.4113, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.6849, kappa: 0.6951, kb_relative_information_score: 1148.7683, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6887, predictive_accuracy: 0.6981, prior_entropy: 6.6439, recall: 0.6981, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.75, kappa: 0.7569, kb_relative_information_score: 1101.8018, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7659, predictive_accuracy: 0.7594, prior_entropy: 6.6439, recall: 0.7594, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.724, kappa: 0.7279, kb_relative_information_score: 1176.7605, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7346, predictive_accuracy: 0.7306, prior_entropy: 6.6439, recall: 0.7306, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8069, kappa: 0.8138, kb_relative_information_score: 1037.629, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8261, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.6475, kappa: 0.6667, kb_relative_information_score: 971.286, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6866, predictive_accuracy: 0.67, prior_entropy: 6.6439, recall: 0.67, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7662, kappa: 0.7734, kb_relative_information_score: 1116.1729, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7761, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.4969, kappa: 0.4981, kb_relative_information_score: 1059.8258, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.505, predictive_accuracy: 0.5031, prior_entropy: 6.6439, recall: 0.5031, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.079, root_relative_squared_error: 0.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, kappa: 0.6035, kb_relative_information_score: 0.5928, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6075, prior_entropy: 6.6439, recall: 0.6075, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, kappa: 0.5865, kb_relative_information_score: 907.3273, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5906, prior_entropy: 6.6439, recall: 0.5906, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.6114, kappa: 0.6225, kb_relative_information_score: 1108.765, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6244, predictive_accuracy: 0.6263, prior_entropy: 6.6439, recall: 0.6263, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7838, kappa: 0.7904, kb_relative_information_score: 1166.0926, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7933, predictive_accuracy: 0.7925, prior_entropy: 6.6439, recall: 0.7925, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.6392, kappa: 0.661, kb_relative_information_score: 977.5043, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.681, predictive_accuracy: 0.6644, prior_entropy: 6.6439, recall: 0.6644, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8188, kappa: 0.8226, kb_relative_information_score: 1165.9945, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8268, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6279, kappa: 0.6452, kb_relative_information_score: 1085.6239, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6396, predictive_accuracy: 0.6488, prior_entropy: 6.6439, recall: 0.6488, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7567, kappa: 0.7658, kb_relative_information_score: 1152.3639, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7667, predictive_accuracy: 0.7681, prior_entropy: 6.6439, recall: 0.7681, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7599, kappa: 0.7721, kb_relative_information_score: 1071.4879, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.778, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, kappa: 0.5991, kb_relative_information_score: 990.2087, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6031, prior_entropy: 6.6439, recall: 0.6031, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.6636, kappa: 0.6837, kb_relative_information_score: 935.7664, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6962, predictive_accuracy: 0.6869, prior_entropy: 6.6439, recall: 0.6869, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, kappa: 0.4823, kb_relative_information_score: 989.882, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4875, prior_entropy: 6.6439, recall: 0.4875, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, kappa: 0.6433, kb_relative_information_score: 918.0922, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6469, prior_entropy: 6.6439, recall: 0.6469, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7881, kappa: 0.791, kb_relative_information_score: 1153.3768, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.798, predictive_accuracy: 0.7931, prior_entropy: 6.6439, recall: 0.7931, relative_absolute_error: 0.6755, 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: 0.9956, f_measure: 0.7484, kappa: 0.7633, kb_relative_information_score: 1022.1631, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7755, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, kappa: 0.4703, kb_relative_information_score: 1005.1402, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4756, prior_entropy: 6.6439, recall: 0.4756, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.6336, kappa: 0.6351, kb_relative_information_score: 1166.0378, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6399, predictive_accuracy: 0.6388, prior_entropy: 6.6439, recall: 0.6388, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8275, kappa: 0.8314, kb_relative_information_score: 1223.4792, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8306, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.6075, kappa: 0.608, kb_relative_information_score: 1149.2084, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6136, predictive_accuracy: 0.6119, prior_entropy: 6.6439, recall: 0.6119, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7727, kappa: 0.7809, kb_relative_information_score: 1037.1193, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7883, predictive_accuracy: 0.7831, prior_entropy: 6.6439, recall: 0.7831, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7199, kappa: 0.7323, kb_relative_information_score: 1107.1122, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7396, predictive_accuracy: 0.735, prior_entropy: 6.6439, recall: 0.735, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8092, kappa: 0.8138, kb_relative_information_score: 1147.7333, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8162, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7406, kappa: 0.7569, kb_relative_information_score: 924.0974, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7653, predictive_accuracy: 0.7594, prior_entropy: 6.6439, recall: 0.7594, relative_absolute_error: 0.8504, 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: 0.9935, f_measure: 0.7021, kappa: 0.7165, kb_relative_information_score: 0.6713, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7218, predictive_accuracy: 0.7194, prior_entropy: 6.6439, recall: 0.7194, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.5721, kappa: 0.596, kb_relative_information_score: 1024.2512, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5975, predictive_accuracy: 0.6, prior_entropy: 6.6439, recall: 0.6, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.7908, kappa: 0.8018, kb_relative_information_score: 1001.4456, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8001, predictive_accuracy: 0.8038, prior_entropy: 6.6439, recall: 0.8038, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7814, kappa: 0.7854, kb_relative_information_score: 1126.4524, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7938, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, relative_absolute_error: 0.7013, 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: 0.9923, f_measure: 0.6865, kappa: 0.6995, kb_relative_information_score: 1104.5684, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6966, predictive_accuracy: 0.7025, prior_entropy: 6.6439, recall: 0.7025, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.808, kappa: 0.8176, kb_relative_information_score: 950.9377, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8286, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.6484, kappa: 0.6717, kb_relative_information_score: 1011.1407, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6813, predictive_accuracy: 0.675, prior_entropy: 6.6439, recall: 0.675, relative_absolute_error: 0.7925, 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: 0.9895, f_measure: 0.6317, kappa: 0.6427, kb_relative_information_score: 1123.5257, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6397, predictive_accuracy: 0.6463, prior_entropy: 6.6439, recall: 0.6463, relative_absolute_error: 0.6624, 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: 0.9959, f_measure: 0.7992, kappa: 0.7999, kb_relative_information_score: 1199.939, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8058, predictive_accuracy: 0.8019, prior_entropy: 6.6439, recall: 0.8019, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.6754, kappa: 0.6806, kb_relative_information_score: 1142.7833, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6894, predictive_accuracy: 0.6838, prior_entropy: 6.6439, recall: 0.6838, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, kappa: 0.3737, kb_relative_information_score: 925.5122, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.38, prior_entropy: 6.6439, recall: 0.38, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.6825, kappa: 0.6976, kb_relative_information_score: 1016.5133, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7125, predictive_accuracy: 0.7006, prior_entropy: 6.6439, recall: 0.7006, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7557, kappa: 0.7601, kb_relative_information_score: 1134.9012, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7661, predictive_accuracy: 0.7625, prior_entropy: 6.6439, recall: 0.7625, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7052, kappa: 0.7191, kb_relative_information_score: 1000.0219, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7395, predictive_accuracy: 0.7219, prior_entropy: 6.6439, recall: 0.7219, relative_absolute_error: 0.8066, 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: 0.9917, f_measure: 0.6574, kappa: 0.6641, kb_relative_information_score: 1147.2459, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6712, predictive_accuracy: 0.6675, prior_entropy: 6.6439, recall: 0.6675, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7238, kappa: 0.7317, kb_relative_information_score: 1083.083, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7454, predictive_accuracy: 0.7344, prior_entropy: 6.6439, recall: 0.7344, relative_absolute_error: 0.7401, 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: 0.9949, f_measure: 0.7442, kappa: 0.7456, kb_relative_information_score: 1207.5723, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7512, predictive_accuracy: 0.7481, prior_entropy: 6.6439, recall: 0.7481, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7793, kappa: 0.7847, kb_relative_information_score: 1166.081, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7942, predictive_accuracy: 0.7869, prior_entropy: 6.6439, recall: 0.7869, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8171, kappa: 0.8188, kb_relative_information_score: 1224.176, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8241, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.6877, kappa: 0.7033, kb_relative_information_score: 1090.4591, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7012, predictive_accuracy: 0.7063, prior_entropy: 6.6439, recall: 0.7063, relative_absolute_error: 0.7193, 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: 0.9944, f_measure: 0.7076, kappa: 0.721, kb_relative_information_score: 1046.6783, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.727, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.6352, kappa: 0.6572, kb_relative_information_score: 1028.8185, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6656, predictive_accuracy: 0.6606, prior_entropy: 6.6439, recall: 0.6606, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7421, kappa: 0.7481, kb_relative_information_score: 1108.2174, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7597, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.6762, kappa: 0.6944, kb_relative_information_score: 1017.9137, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7139, predictive_accuracy: 0.6975, prior_entropy: 6.6439, recall: 0.6975, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.6806, kappa: 0.6982, kb_relative_information_score: 1060.0932, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7127, predictive_accuracy: 0.7013, prior_entropy: 6.6439, recall: 0.7013, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7651, kappa: 0.7797, kb_relative_information_score: 831.2818, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7977, predictive_accuracy: 0.7819, prior_entropy: 6.6439, recall: 0.7819, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.6056, kappa: 0.6193, kb_relative_information_score: 1096.7254, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6279, predictive_accuracy: 0.6231, prior_entropy: 6.6439, recall: 0.6231, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7366, kappa: 0.7475, kb_relative_information_score: 1052.4873, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7568, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8173, kappa: 0.822, kb_relative_information_score: 1121.6019, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.823, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7539,

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