OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 19920 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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19920 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8005, kappa: 0.6986, kb_relative_information_score: 3442.6229, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8094, predictive_accuracy: 0.8037, prior_entropy: 1.7151, recall: 0.8037, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5373.4659, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5415.7341, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.04, root_relative_squared_error: 0.0983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8453, kappa: 0.7642, kb_relative_information_score: 3833.4991, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8552, predictive_accuracy: 0.846, prior_entropy: 1.7151, recall: 0.846, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.9306, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5408.6508, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.0931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8917, kappa: 0.8363, kb_relative_information_score: 4399.8615, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8918, predictive_accuracy: 0.892, prior_entropy: 1.7151, recall: 0.892, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 534.836, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5377.699, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8259, kappa: 0.7435, kb_relative_information_score: 47.427, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8586, predictive_accuracy: 0.8305, prior_entropy: 1.7151, recall: 0.8305, relative_absolute_error: 1.1151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.6229, kappa: 0.441, kb_relative_information_score: 2322.8782, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6507, predictive_accuracy: 0.6316, prior_entropy: 1.7151, recall: 0.6316, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.346, root_relative_squared_error: 0.8501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 203.012, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.7344, kappa: 0.5974, kb_relative_information_score: 2910.8981, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7448, predictive_accuracy: 0.7399, prior_entropy: 1.7151, recall: 0.7399, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, kappa: 0.8789, kb_relative_information_score: 371.6648, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.9225, prior_entropy: 1.7151, recall: 0.9225, relative_absolute_error: 1.0568, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5334.8541, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.6922, kappa: 0.5395, kb_relative_information_score: 2603.4975, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7013, predictive_accuracy: 0.6979, prior_entropy: 1.7151, recall: 0.6979, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5379.431, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5312.6189, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 286.6275, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.412, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5379.6106, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5414.6039, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8903, kappa: 0.8341, kb_relative_information_score: 4312.8648, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8914, predictive_accuracy: 0.8908, prior_entropy: 1.7151, recall: 0.8908, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5412.7106, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.6571, kappa: 0.4859, kb_relative_information_score: 2405.3316, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.669, predictive_accuracy: 0.6639, prior_entropy: 1.7151, recall: 0.6639, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.6286, kappa: 0.4495, kb_relative_information_score: 2345.1339, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6557, predictive_accuracy: 0.6373, prior_entropy: 1.7151, recall: 0.6373, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 4996.6355, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.4367, kappa: 0.1732, kb_relative_information_score: 852.9829, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4059, predictive_accuracy: 0.4767, prior_entropy: 1.7151, recall: 0.4767, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.4609, kappa: 0.2034, kb_relative_information_score: 391.291, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4676, predictive_accuracy: 0.5154, prior_entropy: 1.7151, recall: 0.5154, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.726, kappa: 0.5829, kb_relative_information_score: 2809.6335, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7363, predictive_accuracy: 0.7298, prior_entropy: 1.7151, recall: 0.7298, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8142, kappa: 0.7159, kb_relative_information_score: 3560.8273, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8355, predictive_accuracy: 0.8151, prior_entropy: 1.7151, recall: 0.8151, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, kappa: 0.7919, kb_relative_information_score: 91.1247, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.8673, prior_entropy: 1.7151, recall: 0.8673, relative_absolute_error: 1.1051, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.4161, kappa: 0.1232, kb_relative_information_score: 569.4271, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4038, predictive_accuracy: 0.4657, prior_entropy: 1.7151, recall: 0.4657, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5358.7179, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5420.673, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.898, kappa: 0.8457, kb_relative_information_score: 4100.5964, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8981, predictive_accuracy: 0.8983, prior_entropy: 1.7151, recall: 0.8983, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7158, kappa: 0.5706, kb_relative_information_score: 2808.4832, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7228, predictive_accuracy: 0.7221, prior_entropy: 1.7151, recall: 0.7221, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.308, root_relative_squared_error: 0.7569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5282.6308, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, kappa: 0.0759, kb_relative_information_score: 159.996, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.445, prior_entropy: 1.7151, recall: 0.445, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5402.5868, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.0963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5242.9857, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 472.538, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 1.0416, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5348.1416, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8587, kappa: 0.7862, kb_relative_information_score: 4135.8874, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8591, predictive_accuracy: 0.8596, prior_entropy: 1.7151, recall: 0.8596, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, kappa: 0.1043, kb_relative_information_score: 335.1651, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4597, prior_entropy: 1.7151, recall: 0.4597, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 310.2125, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0716, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.41, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5339.2887, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9018, kappa: 0.8515, kb_relative_information_score: 4421.6521, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9018, predictive_accuracy: 0.9018, prior_entropy: 1.7151, recall: 0.9018, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5091.5877, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8127, kappa: 0.7131, kb_relative_information_score: 3532.2712, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8353, predictive_accuracy: 0.8134, prior_entropy: 1.7151, recall: 0.8134, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.6294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8114, kappa: 0.7127, kb_relative_information_score: 3421.9429, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8306, predictive_accuracy: 0.8129, prior_entropy: 1.7151, recall: 0.8129, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8996, kappa: 0.8483, kb_relative_information_score: 4186.2861, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8998, predictive_accuracy: 0.9001, prior_entropy: 1.7151, recall: 0.9001, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.7657, kappa: 0.6409, kb_relative_information_score: 2996.7127, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8157, predictive_accuracy: 0.7685, prior_entropy: 1.7151, recall: 0.7685, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5335.7989, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 495.6472, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 1.0378, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5230.5453, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.7773, kappa: 0.6641, kb_relative_information_score: 3261.5666, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7771, predictive_accuracy: 0.7779, prior_entropy: 1.7151, recall: 0.7779, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5327.0796, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.6872, kappa: 0.5219, kb_relative_information_score: 2479.4093, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6965, predictive_accuracy: 0.6906, prior_entropy: 1.7151, recall: 0.6906, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5410.6084, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5342.7777, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.5877, kappa: 0.4265, kb_relative_information_score: 2526.9778, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7265, predictive_accuracy: 0.6411, prior_entropy: 1.7151, recall: 0.6411, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5313.807, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5299.6825, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.4969, kappa: 0.2581, kb_relative_information_score: 1142.8736, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4826, predictive_accuracy: 0.539, prior_entropy: 1.7151, recall: 0.539, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5079.9109, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.081, root_relative_squared_error: 0.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5383.4941, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.6214, kappa: 0.4387, kb_relative_information_score: 2312.2828, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6489, predictive_accuracy: 0.6301, prior_entropy: 1.7151, recall: 0.6301, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5342.4077, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7244, kappa: 0.5776, kb_relative_information_score: 2645.1584, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8035, predictive_accuracy: 0.7293, prior_entropy: 1.7151, recall: 0.7293, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9287, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5308.865, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5373.7001, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.1094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 237.5949, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 1.0827, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.6848, kappa: 0.5232, kb_relative_information_score: 2510.6604, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6912, predictive_accuracy: 0.6906, prior_entropy: 1.7151, recall: 0.6906, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.7983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 534.3913, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5237.6687, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.9909, kb_relative_information_score: 5330.0913, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.6128, kappa: 0.421, kb_relative_information_score: 2110.3409, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6203, predictive_accuracy: 0.6223, prior_entropy: 1.7151, recall: 0.6223, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5077.8442, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9068, kappa: 0.859, kb_relative_information_score: 4246.3449, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.907, predictive_accuracy: 0.9071, prior_entropy: 1.7151, recall: 0.9071, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.6646, kappa: 0.5, kb_relative_information_score: 2437.6411, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6819, predictive_accuracy: 0.6714, prior_entropy: 1.7151, recall: 0.6714, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, kappa: 0.1043, kb_relative_information_score: 222.1311, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4604, prior_entropy: 1.7151, recall: 0.4604, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7299, kappa: 0.5984, kb_relative_information_score: 2975.4614, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7326, predictive_accuracy: 0.7341, prior_entropy: 1.7151, recall: 0.7341, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.7458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, kappa: 0.0501, kb_relative_information_score: 176.8687, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4267, prior_entropy: 1.7151, recall: 0.4267, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.866, kappa: 0.7983, kb_relative_information_score: 3879.6951, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8866, predictive_accuracy: 0.869, prior_entropy: 1.7151, recall: 0.869, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9871, kappa: 0.9806, kb_relative_information_score: 4768.3572, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9871, predictive_accuracy: 0.9872, prior_entropy: 1.7151, recall: 0.9872, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9279, kappa: 0.8909, kb_relative_information_score: 4657.4644, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 1.7151, recall: 0.928, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9209, kappa: 0.8805, kb_relative_information_score: 4683.2866, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.921, predictive_accuracy: 0.921, prior_entropy: 1.7151, recall: 0.921, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9846, kappa: 0.9768, kb_relative_information_score: 5128.1464, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9848, predictive_accuracy: 0.9846, prior_entropy: 1.7151, recall: 0.9846, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.3752, kappa: 0.051, kb_relative_information_score: 357.2513, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3418, predictive_accuracy: 0.4238, prior_entropy: 1.7151, recall: 0.4238, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4139, root_relative_squared_error: 1.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5376.5385, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5228.6756, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 534.6635, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5312.0938, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.1343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8487, kappa: 0.7705, kb_relative_information_score: 3852.2508, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8495, predictive_accuracy: 0.8493, prior_entropy: 1.7151, recall: 0.8493, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.6792, kappa: 0.5204, kb_relative_information_score: 2466.7189, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6927, predictive_accuracy: 0.6853, prior_entropy: 1.7151, recall: 0.6853, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.6794, kappa: 0.5163, kb_relative_information_score: 2471.7383, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6861, predictive_accuracy: 0.6855, prior_entropy: 1.7151, recall: 0.6855, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5347.4746, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7003, kappa: 0.5461, kb_relative_information_score: 2683.0946, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7091, predictive_accuracy: 0.7069, prior_entropy: 1.7151, recall: 0.7069, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.315, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.698, kappa: 0.5424, kb_relative_information_score: 2655.3727, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7063, predictive_accuracy: 0.7047, prior_entropy: 1.7151, recall: 0.7047, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.317, root_relative_squared_error: 0.779,

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