OpenML
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 19084 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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19084 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.541, kappa: 0.2884, kb_relative_information_score: 371.8674, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5391, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.5272, kappa: 0.2678, kb_relative_information_score: 400.5587, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5253, predictive_accuracy: 0.5316, prior_entropy: 1.5392, recall: 0.5316, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.5278, kappa: 0.2691, kb_relative_information_score: 367.8955, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5255, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5355, kappa: 0.2799, kb_relative_information_score: 372.9202, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5338, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.541, kappa: 0.2884, kb_relative_information_score: 372.0014, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5391, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.5273, kappa: 0.2667, kb_relative_information_score: 377.1608, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5263, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.4946, kappa: 0.2185, kb_relative_information_score: 387.4803, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4925, predictive_accuracy: 0.5003, prior_entropy: 1.5392, recall: 0.5003, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4867, root_relative_squared_error: 1.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.5256, kappa: 0.2653, kb_relative_information_score: 398.3798, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.524, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.5304, kappa: 0.272, kb_relative_information_score: 393.8038, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5283, predictive_accuracy: 0.5343, prior_entropy: 1.5392, recall: 0.5343, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.5251, kappa: 0.2648, kb_relative_information_score: 367.7459, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.5368, kappa: 0.2816, kb_relative_information_score: 366.7607, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5359, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.5148, kappa: 0.2513, kb_relative_information_score: 384.3889, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5127, predictive_accuracy: 0.52, prior_entropy: 1.5392, recall: 0.52, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.541, kappa: 0.2884, kb_relative_information_score: 372.0014, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5391, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.5262, kappa: 0.2645, kb_relative_information_score: 382.681, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5249, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.5129, kappa: 0.2459, kb_relative_information_score: 406.2314, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5113, predictive_accuracy: 0.5173, prior_entropy: 1.5392, recall: 0.5173, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.5277, kappa: 0.2671, kb_relative_information_score: 386.834, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5262, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.4899, kappa: 0.2108, kb_relative_information_score: 395.8564, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4882, predictive_accuracy: 0.4942, prior_entropy: 1.5392, recall: 0.4942, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.5323, kappa: 0.2757, kb_relative_information_score: 390.7713, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5303, predictive_accuracy: 0.5356, prior_entropy: 1.5392, recall: 0.5356, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.5251, kappa: 0.2648, kb_relative_information_score: 367.4332, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.5221, kappa: 0.2596, kb_relative_information_score: 387.8796, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5197, predictive_accuracy: 0.5261, prior_entropy: 1.5392, recall: 0.5261, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.5278, kappa: 0.2672, kb_relative_information_score: 387.3264, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5263, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.5268, kappa: 0.2662, kb_relative_information_score: 376.0226, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5258, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.5341, kappa: 0.2779, kb_relative_information_score: 391.1455, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5319, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.5292, kappa: 0.2711, kb_relative_information_score: 369.3728, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5269, predictive_accuracy: 0.5336, prior_entropy: 1.5392, recall: 0.5336, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.5255, kappa: 0.2633, kb_relative_information_score: 381.6445, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5242, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5354, kappa: 0.2792, kb_relative_information_score: 370.4932, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5342, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.5348, kappa: 0.2792, kb_relative_information_score: 395.5509, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5329, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.4871, kappa: 0.2062, kb_relative_information_score: 397.1869, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4846, predictive_accuracy: 0.4915, prior_entropy: 1.5392, recall: 0.4915, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.5397, kappa: 0.2872, kb_relative_information_score: 406.8435, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5381, predictive_accuracy: 0.5424, prior_entropy: 1.5392, recall: 0.5424, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.5269, kappa: 0.266, kb_relative_information_score: 387.5252, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5254, predictive_accuracy: 0.5302, prior_entropy: 1.5392, recall: 0.5302, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.5408, kappa: 0.2878, kb_relative_information_score: 370.8332, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5394, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5277, kappa: 0.2687, kb_relative_information_score: 400.2671, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5259, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.5074, kappa: 0.2364, kb_relative_information_score: 398.7384, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5059, predictive_accuracy: 0.5139, prior_entropy: 1.5392, recall: 0.5139, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4958, kappa: 0.2202, kb_relative_information_score: 394.4145, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4937, predictive_accuracy: 0.5003, prior_entropy: 1.5392, recall: 0.5003, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.5246, kappa: 0.263, kb_relative_information_score: 373.0216, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.5203, kappa: 0.2563, kb_relative_information_score: 408.4687, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5186, predictive_accuracy: 0.5234, prior_entropy: 1.5392, recall: 0.5234, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.4752, kappa: 0.189, kb_relative_information_score: 374.9846, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4745, predictive_accuracy: 0.4766, prior_entropy: 1.5392, recall: 0.4766, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5819, root_relative_squared_error: 1.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.5329, kappa: 0.2764, kb_relative_information_score: 391.6879, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5308, predictive_accuracy: 0.5363, prior_entropy: 1.5392, recall: 0.5363, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5408, kappa: 0.2878, kb_relative_information_score: 370.6319, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5394, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.5266, kappa: 0.2665, kb_relative_information_score: 393.918, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5251, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.5016, kappa: 0.2282, kb_relative_information_score: 397.955, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4997, predictive_accuracy: 0.5064, prior_entropy: 1.5392, recall: 0.5064, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5257, kappa: 0.2648, kb_relative_information_score: 390.9974, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5239, predictive_accuracy: 0.5295, prior_entropy: 1.5392, recall: 0.5295, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.5253, kappa: 0.2639, kb_relative_information_score: 373.3642, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5237, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.5368, kappa: 0.2816, kb_relative_information_score: 366.7607, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5359, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5354, kappa: 0.2795, kb_relative_information_score: 366.0986, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5346, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.4861, kappa: 0.2065, kb_relative_information_score: 401.0526, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.484, predictive_accuracy: 0.4915, prior_entropy: 1.5392, recall: 0.4915, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.5251, kappa: 0.2648, kb_relative_information_score: 367.7459, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.4798, kappa: 0.1963, kb_relative_information_score: 391.4651, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4784, predictive_accuracy: 0.4834, prior_entropy: 1.5392, recall: 0.4834, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5645, root_relative_squared_error: 1.2164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5346, kappa: 0.2789, kb_relative_information_score: 393.1728, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5325, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.5264, kappa: 0.2659, kb_relative_information_score: 374.4181, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5249, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.527, kappa: 0.2676, kb_relative_information_score: 399.8185, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.525, predictive_accuracy: 0.5316, prior_entropy: 1.5392, recall: 0.5316, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.5246, kappa: 0.263, kb_relative_information_score: 372.9025, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.5354, kappa: 0.2792, kb_relative_information_score: 370.0401, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5342, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.5361, kappa: 0.2812, kb_relative_information_score: 393.1383, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.534, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5232, kappa: 0.2618, kb_relative_information_score: 367.6205, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5211, predictive_accuracy: 0.5268, prior_entropy: 1.5392, recall: 0.5268, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.5348, kappa: 0.2791, kb_relative_information_score: 391.9478, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5327, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.4887, kappa: 0.2112, kb_relative_information_score: 402.3595, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4867, predictive_accuracy: 0.4942, prior_entropy: 1.5392, recall: 0.4942, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.5258, kappa: 0.2657, kb_relative_information_score: 368.416, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5237, predictive_accuracy: 0.5295, prior_entropy: 1.5392, recall: 0.5295, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5408, kappa: 0.2878, kb_relative_information_score: 370.6319, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5394, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5004, kappa: 0.2259, kb_relative_information_score: 394.9832, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4984, predictive_accuracy: 0.5037, prior_entropy: 1.5392, recall: 0.5037, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.5354, kappa: 0.2792, kb_relative_information_score: 370.0401, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5342, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.5324, kappa: 0.2761, kb_relative_information_score: 403.3086, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5303, predictive_accuracy: 0.5356, prior_entropy: 1.5392, recall: 0.5356, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.5324, kappa: 0.2759, kb_relative_information_score: 395.425, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5307, predictive_accuracy: 0.535, prior_entropy: 1.5392, recall: 0.535, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.5354, kappa: 0.2792, kb_relative_information_score: 370.3529, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5342, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.537, kappa: 0.2818, kb_relative_information_score: 370.6855, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5358, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.5247, kappa: 0.2633, kb_relative_information_score: 391.2472, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5229, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.4997, kappa: 0.225, kb_relative_information_score: 394.5845, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4976, predictive_accuracy: 0.5031, prior_entropy: 1.5392, recall: 0.5031, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.5213, kappa: 0.2583, kb_relative_information_score: 388.0412, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5189, predictive_accuracy: 0.5255, prior_entropy: 1.5392, recall: 0.5255, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.5234, kappa: 0.2613, kb_relative_information_score: 373.0784, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5216, predictive_accuracy: 0.5261, prior_entropy: 1.5392, recall: 0.5261, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.5368, kappa: 0.2816, kb_relative_information_score: 366.7607, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5359, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.4957, kappa: 0.2209, kb_relative_information_score: 402.7327, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4931, predictive_accuracy: 0.5024, prior_entropy: 1.5392, recall: 0.5024, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.5026, kappa: 0.2301, kb_relative_information_score: 395.9739, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5005, predictive_accuracy: 0.5071, prior_entropy: 1.5392, recall: 0.5071, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.52, kappa: 0.2571, kb_relative_information_score: 408.9271, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5184, predictive_accuracy: 0.5234, prior_entropy: 1.5392, recall: 0.5234, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.4948, kappa: 0.2185, kb_relative_information_score: 386.9794, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4928, predictive_accuracy: 0.4997, prior_entropy: 1.5392, recall: 0.4997, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4865, root_relative_squared_error: 1.0482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.5035, kappa: 0.2304, kb_relative_information_score: 386.9013, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5017, predictive_accuracy: 0.5078, prior_entropy: 1.5392, recall: 0.5078, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.5122, kappa: 0.2447, kb_relative_information_score: 403.9766, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5106, predictive_accuracy: 0.5166, prior_entropy: 1.5392, recall: 0.5166, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.0444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.5408, kappa: 0.2878, kb_relative_information_score: 370.5204, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5394, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.5251, kappa: 0.2648, kb_relative_information_score: 367.805, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.5301, kappa: 0.2714, kb_relative_information_score: 375.3007, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5287, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5354, kappa: 0.2795, kb_relative_information_score: 366.2325, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5346, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.541, kappa: 0.2884, kb_relative_information_score: 371.8674, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5391, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.4949, kappa: 0.2189, kb_relative_information_score: 387.2751, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4928, predictive_accuracy: 0.4997, prior_entropy: 1.5392, recall: 0.4997, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4867, root_relative_squared_error: 1.0486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.5358, kappa: 0.2805, kb_relative_information_score: 377.0247, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5338, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.5076, kappa: 0.238, kb_relative_information_score: 411.4945, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5063, predictive_accuracy: 0.5119, prior_entropy: 1.5392, recall: 0.5119, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5073, kappa: 0.24, kb_relative_information_score: 382.7801, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5052, predictive_accuracy: 0.5126, prior_entropy: 1.5392, recall: 0.5126, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.5307, kappa: 0.2732, kb_relative_information_score: 389.7637, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5286, predictive_accuracy: 0.5343, prior_entropy: 1.5392, recall: 0.5343, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.5314, kappa: 0.2742, kb_relative_information_score: 395.5103, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5296, predictive_accuracy: 0.5343, prior_entropy: 1.5392, recall: 0.5343, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.5111, kappa: 0.2416, kb_relative_information_score: 394.2161, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5091, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.5408, kappa: 0.2878, kb_relative_information_score: 370.5204, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5394, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.5263, kappa: 0.2657, kb_relative_information_score: 374.3652, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5248, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.5246, kappa: 0.2629, kb_relative_information_score: 390.7667, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5229, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.5402, kappa: 0.2884, kb_relative_information_score: 407.7347, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5387, predictive_accuracy: 0.5424, prior_entropy: 1.5392, recall: 0.5424, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.5301, kappa: 0.2714, kb_relative_information_score: 375.139, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5287, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.5246, kappa: 0.263, kb_relative_information_score: 373.1009, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.4994, kappa: 0.2244, kb_relative_information_score: 389.8253, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4971, predictive_accuracy: 0.5031, prior_entropy: 1.5392, recall: 0.5031, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.5099, kappa: 0.2401, kb_relative_information_score: 392.6129, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5075, predictive_accuracy: 0.5146, prior_entropy: 1.5392, recall: 0.5146, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.4807, kappa: 0.2027, kb_relative_information_score: 407.1494, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4814, predictive_accuracy: 0.4888, prior_entropy: 1.5392, recall: 0.4888, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.1317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.5063, kappa: 0.2344, kb_relative_information_score: 390.6452, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5045, predictive_accuracy: 0.5098, prior_entropy: 1.5392, recall: 0.5098, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.5251, kappa: 0.2648, kb_relative_information_score: 367.7459, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5361, kappa: 0.2812, kb_relative_information_score: 393.4011, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.534, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9616,

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

OpenML APIs