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: 0.5729, 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: 0.8409, f_measure: 0.6787, kappa: 0.6818, kb_relative_information_score: 1094.9001, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6972, predictive_accuracy: 0.685, prior_entropy: 6.6439, recall: 0.685, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.6111, kappa: 0.6042, kb_relative_information_score: 971.6316, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6492, predictive_accuracy: 0.6081, prior_entropy: 6.6439, recall: 0.6081, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, kappa: 0.1559, kb_relative_information_score: 260.0821, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1644, prior_entropy: 6.6439, recall: 0.1644, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1293, root_relative_squared_error: 1.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, kappa: 0.1035, kb_relative_information_score: 176.901, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1125, prior_entropy: 6.6439, recall: 0.1125, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1332, root_relative_squared_error: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, kappa: 0.3996, kb_relative_information_score: 646.9245, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4056, prior_entropy: 6.6439, recall: 0.4056, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.109, root_relative_squared_error: 1.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.715, kappa: 0.7197, kb_relative_information_score: 1155.031, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7327, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7215, kappa: 0.726, kb_relative_information_score: 1165.0528, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7336, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, kappa: 0.2885, kb_relative_information_score: 470.5404, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2956, prior_entropy: 6.6439, recall: 0.2956, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1187, root_relative_squared_error: 1.1929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, kappa: 0.3182, kb_relative_information_score: 517.643, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.325, prior_entropy: 6.6439, recall: 0.325, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1162, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, kappa: 0.4533, kb_relative_information_score: 732.11, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.104, root_relative_squared_error: 1.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kappa: -0.0044, kb_relative_information_score: 5.5278, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, kappa: 0.2753, kb_relative_information_score: 449.4946, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2825, prior_entropy: 6.6439, recall: 0.2825, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1198, root_relative_squared_error: 1.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, kappa: 0.137, kb_relative_information_score: 230.0167, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1456, prior_entropy: 6.6439, recall: 0.1456, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1307, root_relative_squared_error: 1.3138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7177, kappa: 0.7197, kb_relative_information_score: 1155.031, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7278, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, kappa: 0.3794, kb_relative_information_score: 614.8547, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3856, prior_entropy: 6.6439, recall: 0.3856, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1108, root_relative_squared_error: 1.1141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
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: 0.8374, f_measure: 0.6735, kappa: 0.6749, kb_relative_information_score: 1083.8761, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6906, predictive_accuracy: 0.6781, prior_entropy: 6.6439, recall: 0.6781, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, kappa: 0.1673, kb_relative_information_score: 278.1214, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1756, prior_entropy: 6.6439, recall: 0.1756, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1284, root_relative_squared_error: 1.2905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, kappa: 0.4343, kb_relative_information_score: 702.0446, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.44, prior_entropy: 6.6439, recall: 0.44, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1058, root_relative_squared_error: 1.0636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.6802, kappa: 0.6812, kb_relative_information_score: 1093.8979, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6994, predictive_accuracy: 0.6844, prior_entropy: 6.6439, recall: 0.6844, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7097, 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: 0.7263, 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: 0.7345, kappa: 0.4691, kb_relative_information_score: 757.1646, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4744, prior_entropy: 6.6439, recall: 0.4744, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1025, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.6566, kappa: 0.6591, kb_relative_information_score: 1058.8215, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6718, predictive_accuracy: 0.6625, prior_entropy: 6.6439, recall: 0.6625, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.1837, kappa: 0.1641, kb_relative_information_score: 273.1105, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2607, predictive_accuracy: 0.1725, prior_entropy: 6.6439, recall: 0.1725, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.2929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.6685, kappa: 0.6698, kb_relative_information_score: 1075.8586, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6857, predictive_accuracy: 0.6731, prior_entropy: 6.6439, recall: 0.6731, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7208, kappa: 0.7235, kb_relative_information_score: 1161.0441, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7307, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, 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: 0.851, f_measure: 0.6992, kappa: 0.702, kb_relative_information_score: 1126.9699, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7152, predictive_accuracy: 0.705, prior_entropy: 6.6439, recall: 0.705, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, kappa: 0.4735, kb_relative_information_score: 764.1799, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4788, prior_entropy: 6.6439, recall: 0.4788, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1021, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7082, 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: 0.7253, 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: 0.8532, f_measure: 0.7047, kappa: 0.7064, kb_relative_information_score: 1133.9852, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7224, predictive_accuracy: 0.7094, prior_entropy: 6.6439, recall: 0.7094, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7662,
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: 0.7188, kappa: 0.4375, kb_relative_information_score: 707.0555, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4431, prior_entropy: 6.6439, recall: 0.4431, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1055, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, kappa: 0.0997, kb_relative_information_score: 170.8879, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1088, prior_entropy: 6.6439, recall: 0.1088, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1335, root_relative_squared_error: 1.3418,
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: 0.7939, f_measure: 0.5934, kappa: 0.5878, kb_relative_information_score: 945.5749, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6202, predictive_accuracy: 0.5919, prior_entropy: 6.6439, recall: 0.5919, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 17.554, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kappa: -0.0038, kb_relative_information_score: 6.53, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kappa: 0.0051, kb_relative_information_score: 20.5605, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.015, prior_entropy: 6.6439, recall: 0.015, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.6445, kappa: 0.6477, kb_relative_information_score: 1040.7822, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.663, predictive_accuracy: 0.6513, prior_entropy: 6.6439, recall: 0.6513, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7104, 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: 0.7261, 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: 0.5972, kappa: 0.1944, kb_relative_information_score: 321.2153, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2025, prior_entropy: 6.6439, recall: 0.2025, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, kappa: 0.0076, kb_relative_information_score: 24.5693, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0175, prior_entropy: 6.6439, recall: 0.0175, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1402, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, kappa: 0.1547, kb_relative_information_score: 258.0778, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1631, prior_entropy: 6.6439, recall: 0.1631, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1294, root_relative_squared_error: 1.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7139, 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: 0.7269, 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: 0.8548, f_measure: 0.7059, kappa: 0.7096, kb_relative_information_score: 1138.9961, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7216, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.518, kappa: 0.5366, kb_relative_information_score: 864.3981, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5469, predictive_accuracy: 0.5413, prior_entropy: 6.6439, recall: 0.5413, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7086, kappa: 0.7134, kb_relative_information_score: 1145.0092, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7241, predictive_accuracy: 0.7163, prior_entropy: 6.6439, recall: 0.7163, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, kappa: 0.3314, kb_relative_information_score: 538.6888, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3381, prior_entropy: 6.6439, recall: 0.3381, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1151, root_relative_squared_error: 1.1563,
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: 0.5294, kappa: 0.0587, kb_relative_information_score: 105.746, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0681, prior_entropy: 6.6439, recall: 0.0681, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1365, root_relative_squared_error: 1.3721,
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: 0.7816, kappa: 0.5631, kb_relative_information_score: 906.4898, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5675, prior_entropy: 6.6439, recall: 0.5675, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, kappa: 0.1749, kb_relative_information_score: 290.1476, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1831, prior_entropy: 6.6439, recall: 0.1831, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1278, root_relative_squared_error: 1.2846,
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: 0.5044, kappa: 0.0088, kb_relative_information_score: 26.5736, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0188, prior_entropy: 6.6439, recall: 0.0188, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1401, root_relative_squared_error: 1.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, kappa: 0.1408, kb_relative_information_score: 236.0297, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1494, prior_entropy: 6.6439, recall: 0.1494, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1304, root_relative_squared_error: 1.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.3641, kappa: 0.3447, kb_relative_information_score: 559.7347, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4356, predictive_accuracy: 0.3513, prior_entropy: 6.6439, recall: 0.3513, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1139, root_relative_squared_error: 1.1448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, kappa: 0.0612, kb_relative_information_score: 109.7548, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0706, prior_entropy: 6.6439, recall: 0.0706, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1363, root_relative_squared_error: 1.3702,
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: 0.8033, f_measure: 0.5965, kappa: 0.6067, kb_relative_information_score: 975.6404, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6128, predictive_accuracy: 0.6106, prior_entropy: 6.6439, recall: 0.6106, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, kappa: 0.517, kb_relative_information_score: 833.3305, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5219, prior_entropy: 6.6439, recall: 0.5219, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, kappa: 0.1465, kb_relative_information_score: 245.0494, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.155, prior_entropy: 6.6439, recall: 0.155, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3065,
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: 0.8602, f_measure: 0.7197, kappa: 0.7203, kb_relative_information_score: 1156.0332, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7274, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 17.554, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, kappa: 0.363, kb_relative_information_score: 588.798, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3694, prior_entropy: 6.6439, recall: 0.3694, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1123, root_relative_squared_error: 1.1287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.6671, kappa: 0.6673, kb_relative_information_score: 1071.8499, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6845, predictive_accuracy: 0.6706, prior_entropy: 6.6439, recall: 0.6706, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7175, 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: 0.7277, 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: 0.8621, 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: 0.7323, 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: 0.601, kappa: 0.202, kb_relative_information_score: 333.2414, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.21, prior_entropy: 6.6439, recall: 0.21, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1257, root_relative_squared_error: 1.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7167, kappa: 0.7229, kb_relative_information_score: 1160.0419, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7287, predictive_accuracy: 0.7256, prior_entropy: 6.6439, recall: 0.7256, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, kappa: -0.0082, kb_relative_information_score: -0.4853, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0019, prior_entropy: 6.6439, recall: 0.0019, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1413, root_relative_squared_error: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.709, 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: 0.7241, 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: 0.6739, kappa: 0.3479, kb_relative_information_score: 564.7456, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3544, prior_entropy: 6.6439, recall: 0.3544, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1136, root_relative_squared_error: 1.1421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7074, kappa: 0.7121, kb_relative_information_score: 1143.0048, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7229, predictive_accuracy: 0.715, prior_entropy: 6.6439, recall: 0.715, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, kappa: 0.142, kb_relative_information_score: 238.0341, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1506, prior_entropy: 6.6439, recall: 0.1506, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1303, root_relative_squared_error: 1.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.6206, kappa: 0.6149, kb_relative_information_score: 988.6687, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6483, predictive_accuracy: 0.6188, prior_entropy: 6.6439, recall: 0.6188, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, kappa: 0.3176, kb_relative_information_score: 516.6408, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3244, prior_entropy: 6.6439, recall: 0.3244, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1162, root_relative_squared_error: 1.1683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, kappa: 0.0139, kb_relative_information_score: 34.5911, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0238, prior_entropy: 6.6439, recall: 0.0238, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1397, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, kappa: 0.0852, kb_relative_information_score: 147.8377, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0944, prior_entropy: 6.6439, recall: 0.0944, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1346, root_relative_squared_error: 1.3526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.6906, kappa: 0.6919, kb_relative_information_score: 1110.935, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7048, predictive_accuracy: 0.695, prior_entropy: 6.6439, recall: 0.695, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.6947, kappa: 0.6963, kb_relative_information_score: 1117.9503, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7077, predictive_accuracy: 0.6994, prior_entropy: 6.6439, recall: 0.6994, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, 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: 0.8602, f_measure: 0.7181, kappa: 0.7203, kb_relative_information_score: 1156.0332, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7282, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.5537, kappa: 0.5657, kb_relative_information_score: 910.4985, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.59, predictive_accuracy: 0.57, prior_entropy: 6.6439, recall: 0.57, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, kappa: 0.4217, kb_relative_information_score: 682.0009, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4275, prior_entropy: 6.6439, recall: 0.4275, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.107, root_relative_squared_error: 1.0754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, kappa: 0.0259, kb_relative_information_score: 53.6326, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0356, prior_entropy: 6.6439, recall: 0.0356, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1389, root_relative_squared_error: 1.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7196, kappa: 0.7229, kb_relative_information_score: 1160.0419, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7326, predictive_accuracy: 0.7256, prior_entropy: 6.6439, recall: 0.7256, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.6251, kappa: 0.6313, kb_relative_information_score: 1014.7255, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6475, predictive_accuracy: 0.635, prior_entropy: 6.6439, recall: 0.635, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.8587,
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: 0.8463, f_measure: 0.6905, kappa: 0.6926, kb_relative_information_score: 1111.9372, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.707, predictive_accuracy: 0.6956, prior_entropy: 6.6439, recall: 0.6956, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7182, kappa: 0.7203, kb_relative_information_score: 1156.0332, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.728, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.6974, kappa: 0.7001, kb_relative_information_score: 1123.9634, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7096, predictive_accuracy: 0.7031, prior_entropy: 6.6439, recall: 0.7031, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 17.554, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7023, kappa: 0.6989, kb_relative_information_score: 1121.959, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7213, predictive_accuracy: 0.7019, prior_entropy: 6.6439, recall: 0.7019, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, kappa: 0.2222, kb_relative_information_score: 365.3113, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.23, prior_entropy: 6.6439, recall: 0.23, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1241, root_relative_squared_error: 1.2472,

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