OpenML
Supervised Classification on one-hundred-plants-shape

Supervised Classification on one-hundred-plants-shape

Task 9955 Supervised Classification one-hundred-plants-shape 13592 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: 0.6736, kappa: 0.3472, kb_relative_information_score: 563.7434, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3538, prior_entropy: 6.6439, recall: 0.3538, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1137, root_relative_squared_error: 1.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.5021, kappa: 0.5189, kb_relative_information_score: 836.337, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5312, predictive_accuracy: 0.5238, prior_entropy: 6.6439, recall: 0.5238, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, kappa: 0.0455, kb_relative_information_score: 84.7002, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.055, prior_entropy: 6.6439, recall: 0.055, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1375, root_relative_squared_error: 1.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, kappa: 0.4577, kb_relative_information_score: 739.1253, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4631, prior_entropy: 6.6439, recall: 0.4631, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1036, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: -0.0088, kb_relative_information_score: -1.4875, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1413, root_relative_squared_error: 1.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, kappa: 0.1717, kb_relative_information_score: 285.1367, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.18, prior_entropy: 6.6439, recall: 0.18, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1281, root_relative_squared_error: 1.2871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, kappa: 0.4653, kb_relative_information_score: 751.1515, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4706, prior_entropy: 6.6439, recall: 0.4706, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1029, root_relative_squared_error: 1.0341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, kappa: 0.108, kb_relative_information_score: 183.9163, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1169, prior_entropy: 6.6439, recall: 0.1169, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1329, root_relative_squared_error: 1.3357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, kappa: 0.1439, kb_relative_information_score: 241.0407, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1525, prior_entropy: 6.6439, recall: 0.1525, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1302, root_relative_squared_error: 1.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7179, kappa: 0.721, kb_relative_information_score: 1157.0354, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7276, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kappa: -0.0025, kb_relative_information_score: 8.5343, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7179, kappa: 0.7216, kb_relative_information_score: 1158.0376, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7281, predictive_accuracy: 0.7244, prior_entropy: 6.6439, recall: 0.7244, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7008, kappa: 0.7039, kb_relative_information_score: 1129.9765, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7117, predictive_accuracy: 0.7069, prior_entropy: 6.6439, recall: 0.7069, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, kappa: 0.1515, kb_relative_information_score: 253.0669, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.16, prior_entropy: 6.6439, recall: 0.16, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1296, root_relative_squared_error: 1.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kappa: -0.0032, kb_relative_information_score: 7.5322, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, kappa: 0.1364, kb_relative_information_score: 229.0145, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.145, prior_entropy: 6.6439, recall: 0.145, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1308, root_relative_squared_error: 1.3143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, kappa: 0.0524, kb_relative_information_score: 95.7242, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0619, prior_entropy: 6.6439, recall: 0.0619, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.137, root_relative_squared_error: 1.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, kappa: 0.5467, kb_relative_information_score: 880.433, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5513, prior_entropy: 6.6439, recall: 0.5513, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, kappa: 0.4893, kb_relative_information_score: 789.2344, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4944, prior_entropy: 6.6439, recall: 0.4944, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1006, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7078, kappa: 0.7102, kb_relative_information_score: 1139.9983, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7235, predictive_accuracy: 0.7131, prior_entropy: 6.6439, recall: 0.7131, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kappa: -0.0051, kb_relative_information_score: 4.5256, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, kappa: 0.173, kb_relative_information_score: 287.1411, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1813, prior_entropy: 6.6439, recall: 0.1813, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.128, root_relative_squared_error: 1.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.5772, kappa: 0.5164, kb_relative_information_score: 832.3283, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7133, predictive_accuracy: 0.5213, prior_entropy: 6.6439, recall: 0.5213, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, kappa: 0.4482, kb_relative_information_score: 724.0926, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4538, prior_entropy: 6.6439, recall: 0.4538, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1045, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0106, prior_entropy: 6.6439, recall: 0.0106, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.5665, kappa: 0.5644, kb_relative_information_score: 908.4941, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5913, predictive_accuracy: 0.5688, prior_entropy: 6.6439, recall: 0.5688, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.6892, kappa: 0.6761, kb_relative_information_score: 1085.8804, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7198, predictive_accuracy: 0.6794, prior_entropy: 6.6439, recall: 0.6794, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7091, kappa: 0.7083, kb_relative_information_score: 1136.9917, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7233, predictive_accuracy: 0.7113, prior_entropy: 6.6439, recall: 0.7113, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.2626, kappa: 0.2525, kb_relative_information_score: 413.416, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3059, predictive_accuracy: 0.26, prior_entropy: 6.6439, recall: 0.26, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1217, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, kappa: 0.0644, kb_relative_information_score: 114.7657, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0738, prior_entropy: 6.6439, recall: 0.0738, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1361, root_relative_squared_error: 1.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.6521, kappa: 0.6553, kb_relative_information_score: 1052.8084, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6697, predictive_accuracy: 0.6588, prior_entropy: 6.6439, recall: 0.6588, relative_absolute_error: 0.3447, 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: 0.8103, f_measure: 0.6136, kappa: 0.6206, kb_relative_information_score: 997.6884, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6342, predictive_accuracy: 0.6244, prior_entropy: 6.6439, recall: 0.6244, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, kappa: 0.0574, kb_relative_information_score: 103.7417, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0669, prior_entropy: 6.6439, recall: 0.0669, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1366, root_relative_squared_error: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, kappa: 0.1604, kb_relative_information_score: 267.0974, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1688, prior_entropy: 6.6439, recall: 0.1688, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1289, root_relative_squared_error: 1.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7182, kappa: 0.721, kb_relative_information_score: 1157.0354, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7274, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.688, kappa: 0.6761, kb_relative_information_score: 1085.8804, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7173, predictive_accuracy: 0.6794, prior_entropy: 6.6439, recall: 0.6794, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7143, kappa: 0.7178, kb_relative_information_score: 1152.0245, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7301, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: -0.0076, kb_relative_information_score: 0.5169, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kappa: -0.0032, kb_relative_information_score: 7.5322, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kappa: 0.0038, kb_relative_information_score: 18.5562, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, kappa: 0.3258, kb_relative_information_score: 529.6692, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3325, prior_entropy: 6.6439, recall: 0.3325, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1155, root_relative_squared_error: 1.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, kappa: 0.166, kb_relative_information_score: 276.117, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1744, prior_entropy: 6.6439, recall: 0.1744, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1285, root_relative_squared_error: 1.2915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.6775, kappa: 0.6572, kb_relative_information_score: 1055.815, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.718, predictive_accuracy: 0.6606, prior_entropy: 6.6439, recall: 0.6606, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.5367, kappa: 0.5486, kb_relative_information_score: 883.4396, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.573, predictive_accuracy: 0.5531, prior_entropy: 6.6439, recall: 0.5531, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.5249, kappa: 0.5183, kb_relative_information_score: 835.3348, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.553, predictive_accuracy: 0.5231, prior_entropy: 6.6439, recall: 0.5231, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, kappa: 0.1345, kb_relative_information_score: 226.0079, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1431, prior_entropy: 6.6439, recall: 0.1431, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1309, root_relative_squared_error: 1.3157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.5551, kappa: 0.565, kb_relative_information_score: 909.4963, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5869, predictive_accuracy: 0.5694, prior_entropy: 6.6439, recall: 0.5694, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.6733, kappa: 0.6711, kb_relative_information_score: 1077.863, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.694, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, kappa: 0.3201, kb_relative_information_score: 520.6496, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3269, prior_entropy: 6.6439, recall: 0.3269, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.116, root_relative_squared_error: 1.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, kappa: 0.1458, kb_relative_information_score: 244.0472, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1544, prior_entropy: 6.6439, recall: 0.1544, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7068, kappa: 0.7115, kb_relative_information_score: 1142.0026, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7227, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, kappa: 0.2525, kb_relative_information_score: 413.416, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.26, prior_entropy: 6.6439, recall: 0.26, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1217, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7186, kappa: 0.7241, kb_relative_information_score: 1162.0463, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.732, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, kappa: 0.4855, kb_relative_information_score: 783.2213, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4906, prior_entropy: 6.6439, recall: 0.4906, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1009, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, kappa: 0.4583, kb_relative_information_score: 740.1275, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4638, prior_entropy: 6.6439, recall: 0.4638, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1036, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.6853, kappa: 0.6875, kb_relative_information_score: 1103.9197, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7004, predictive_accuracy: 0.6906, prior_entropy: 6.6439, recall: 0.6906, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, kappa: 0.1496, kb_relative_information_score: 250.0603, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1581, prior_entropy: 6.6439, recall: 0.1581, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, kappa: 0.0814, kb_relative_information_score: 141.8246, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0906, prior_entropy: 6.6439, recall: 0.0906, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1349, root_relative_squared_error: 1.3554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.6939, kappa: 0.6957, kb_relative_information_score: 1116.9481, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7068, predictive_accuracy: 0.6988, prior_entropy: 6.6439, recall: 0.6988, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, kappa: 0.1629, kb_relative_information_score: 271.1061, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1713, prior_entropy: 6.6439, recall: 0.1713, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1287, root_relative_squared_error: 1.2939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kappa: -0.0057, kb_relative_information_score: 3.5234, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0044, prior_entropy: 6.6439, recall: 0.0044, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.5998, kappa: 0.5985, kb_relative_information_score: 962.612, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6223, predictive_accuracy: 0.6025, prior_entropy: 6.6439, recall: 0.6025, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.6161, kappa: 0.5682, kb_relative_information_score: 914.5072, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7122, predictive_accuracy: 0.5725, prior_entropy: 6.6439, recall: 0.5725, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, kappa: 0.1439, kb_relative_information_score: 241.0407, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1525, prior_entropy: 6.6439, recall: 0.1525, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1302, root_relative_squared_error: 1.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, kappa: 0.0896, kb_relative_information_score: 154.853, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0988, prior_entropy: 6.6439, recall: 0.0988, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1343, root_relative_squared_error: 1.3493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7247, kappa: 0.7285, kb_relative_information_score: 1169.0616, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7369, predictive_accuracy: 0.7313, prior_entropy: 6.6439, recall: 0.7313, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kappa: -0.0069, kb_relative_information_score: 1.5191, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, kappa: 0.4274, kb_relative_information_score: 691.0206, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1065, root_relative_squared_error: 1.0701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, kappa: 0.2809, kb_relative_information_score: 458.5142, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2881, prior_entropy: 6.6439, recall: 0.2881, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1193, root_relative_squared_error: 1.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, kappa: 0.1503, kb_relative_information_score: 251.0625, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1588, prior_entropy: 6.6439, recall: 0.1588, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1297, root_relative_squared_error: 1.3036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7096, kappa: 0.7128, kb_relative_information_score: 1144.007, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7247, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.2872, 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: 0.6187, kappa: 0.2374, kb_relative_information_score: 389.3637, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.245, prior_entropy: 6.6439, recall: 0.245, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1229, root_relative_squared_error: 1.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kappa: 0.0038, kb_relative_information_score: 18.5562, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, kappa: 0.0461, kb_relative_information_score: 85.7024, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0556, prior_entropy: 6.6439, recall: 0.0556, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1374, root_relative_squared_error: 1.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.5674, kappa: 0.5777, kb_relative_information_score: 929.54, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5995, predictive_accuracy: 0.5819, prior_entropy: 6.6439, recall: 0.5819, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, kappa: 0.1484, kb_relative_information_score: 248.0559, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1569, prior_entropy: 6.6439, recall: 0.1569, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1299, root_relative_squared_error: 1.3051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.6667, kappa: 0.6686, kb_relative_information_score: 1073.8542, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6812, predictive_accuracy: 0.6719, prior_entropy: 6.6439, recall: 0.6719, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.71, kappa: 0.714, kb_relative_information_score: 1146.0114, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.721, predictive_accuracy: 0.7169, prior_entropy: 6.6439, recall: 0.7169, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, kappa: 0.2317, kb_relative_information_score: 380.344, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2394, prior_entropy: 6.6439, recall: 0.2394, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1233, root_relative_squared_error: 1.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.6977, kappa: 0.7008, kb_relative_information_score: 1124.9655, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7117, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.077, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, kappa: 0.4514, kb_relative_information_score: 729.1035, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1042, root_relative_squared_error: 1.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kappa: -0.0069, kb_relative_information_score: 1.5191, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, kappa: 0.2468, kb_relative_information_score: 404.3964, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2544, prior_entropy: 6.6439, recall: 0.2544, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1221, root_relative_squared_error: 1.2273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.6911, kappa: 0.6932, kb_relative_information_score: 1112.9394, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7042, predictive_accuracy: 0.6963, prior_entropy: 6.6439, recall: 0.6963, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, kappa: 0.3718, kb_relative_information_score: 602.8285, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3781, prior_entropy: 6.6439, recall: 0.3781, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1115, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, kappa: 0.1597, kb_relative_information_score: 266.0952, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1681, prior_entropy: 6.6439, recall: 0.1681, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.129, root_relative_squared_error: 1.2964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7104, kappa: 0.7146, kb_relative_information_score: 1147.0136, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.724, predictive_accuracy: 0.7175, prior_entropy: 6.6439, recall: 0.7175, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.5134, kappa: 0.529, kb_relative_information_score: 852.3719, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.547, predictive_accuracy: 0.5338, prior_entropy: 6.6439, recall: 0.5338, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, kappa: 0.1496, kb_relative_information_score: 250.0603, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1581, prior_entropy: 6.6439, recall: 0.1581, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kappa: -0.0051, kb_relative_information_score: 4.5256, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, kappa: 0.4293, kb_relative_information_score: 694.0271, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.435, prior_entropy: 6.6439, recall: 0.435, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1063, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, kappa: 0.5221, kb_relative_information_score: 841.3479, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5269, prior_entropy: 6.6439, recall: 0.5269, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.6632, kappa: 0.6648, kb_relative_information_score: 1067.8411, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.685, predictive_accuracy: 0.6681, prior_entropy: 6.6439, recall: 0.6681, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.8188,

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

OpenML bootcamp

From your own software

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

OpenML APIs