Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 106203 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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106203 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, f_measure: 0.6506, kappa: 0.2184, kb_relative_information_score: 47.1071, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6924, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8077, kappa: 0.5656, kb_relative_information_score: 268.676, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8578, predictive_accuracy: 0.8257, prior_entropy: 0.9312, recall: 0.8257, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9228, kappa: 0.8294, kb_relative_information_score: 758.1448, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9228, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9218, kappa: 0.8278, kb_relative_information_score: 772.4683, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.922, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9174, kappa: 0.8173, kb_relative_information_score: 721.9618, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9173, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9208, kappa: 0.8253, kb_relative_information_score: 755.4968, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9209, predictive_accuracy: 0.9207, prior_entropy: 0.9312, recall: 0.9207, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9319, kappa: 0.849, kb_relative_information_score: 746.3655, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9319, predictive_accuracy: 0.9322, prior_entropy: 0.9312, recall: 0.9322, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9124, kappa: 0.8067, kb_relative_information_score: 721.8298, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9124, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9278, kappa: 0.8402, kb_relative_information_score: 737.9237, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9277, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.907, kappa: 0.7944, kb_relative_information_score: 720.4671, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9069, predictive_accuracy: 0.9071, prior_entropy: 0.9312, recall: 0.9071, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9218, kappa: 0.8275, kb_relative_information_score: 764.1764, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9219, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.228, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9092, kappa: 0.7993, kb_relative_information_score: 723.1215, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9091, predictive_accuracy: 0.9092, prior_entropy: 0.9312, recall: 0.9092, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.943, kappa: 0.8751, kb_relative_information_score: 824.6215, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9443, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9092, kappa: 0.7993, kb_relative_information_score: 719.9925, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9091, predictive_accuracy: 0.9092, prior_entropy: 0.9312, recall: 0.9092, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9261, kappa: 0.8374, kb_relative_information_score: 780.6877, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9265, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9059, kappa: 0.792, kb_relative_information_score: 716.7997, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9058, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9218, kappa: 0.8275, kb_relative_information_score: 773.0675, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9219, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9102, kappa: 0.8018, kb_relative_information_score: 719.1786, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9102, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9048, kappa: 0.7892, kb_relative_information_score: 708.5643, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9046, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9226, kappa: 0.8287, kb_relative_information_score: 729.8379, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9225, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9145, kappa: 0.8113, kb_relative_information_score: 724.405, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9145, predictive_accuracy: 0.9144, prior_entropy: 0.9312, recall: 0.9144, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9062, kappa: 0.7932, kb_relative_information_score: 713.7874, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9063, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9226, kappa: 0.8287, kb_relative_information_score: 731.3671, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9225, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9176, kappa: 0.8181, kb_relative_information_score: 721.3542, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9176, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9082, kappa: 0.7975, kb_relative_information_score: 714.4036, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9083, predictive_accuracy: 0.9081, prior_entropy: 0.9312, recall: 0.9081, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9028, kappa: 0.7852, kb_relative_information_score: 711.2891, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9027, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9092, kappa: 0.7993, kb_relative_information_score: 723.5032, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9091, predictive_accuracy: 0.9092, prior_entropy: 0.9312, recall: 0.9092, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9061, kappa: 0.7926, kb_relative_information_score: 717.1307, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9061, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9174, kappa: 0.8173, kb_relative_information_score: 727.3772, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9173, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9266, kappa: 0.8373, kb_relative_information_score: 747.6639, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9278, kappa: 0.8402, kb_relative_information_score: 737.6881, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9277, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9104, kappa: 0.8024, kb_relative_information_score: 720.698, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9105, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9328, kappa: 0.851, kb_relative_information_score: 748.44, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9329, predictive_accuracy: 0.9332, prior_entropy: 0.9312, recall: 0.9332, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9039, kappa: 0.7877, kb_relative_information_score: 713.8287, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9038, predictive_accuracy: 0.904, prior_entropy: 0.9312, recall: 0.904, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8976, kappa: 0.7735, kb_relative_information_score: 679.4507, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8974, predictive_accuracy: 0.8977, prior_entropy: 0.9312, recall: 0.8977, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9265, kappa: 0.8371, kb_relative_information_score: 742.7875, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9438, kappa: 0.8764, kb_relative_information_score: 825.7291, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9442, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9061, kappa: 0.7926, kb_relative_information_score: 717.0297, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9061, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9258, kappa: 0.8358, kb_relative_information_score: 735.2418, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9257, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9448, kappa: 0.8783, kb_relative_information_score: 822.885, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9449, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9136, kappa: 0.8099, kb_relative_information_score: 755.5808, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9141, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9247, kappa: 0.8336, kb_relative_information_score: 737.5306, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9247, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9309, kappa: 0.8468, kb_relative_information_score: 746.085, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9308, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9102, kappa: 0.8018, kb_relative_information_score: 719.5922, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9102, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.245, root_relative_squared_error: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9219, kappa: 0.828, kb_relative_information_score: 767.6701, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9222, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9154, kappa: 0.8129, kb_relative_information_score: 725.4213, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9153, predictive_accuracy: 0.9154, prior_entropy: 0.9312, recall: 0.9154, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.904, kappa: 0.7883, kb_relative_information_score: 709.7251, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9041, predictive_accuracy: 0.904, prior_entropy: 0.9312, recall: 0.904, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9126, kappa: 0.8075, kb_relative_information_score: 754.6445, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9129, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8956, kappa: 0.7695, kb_relative_information_score: 679.0036, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8956, prior_entropy: 0.9312, recall: 0.8956, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9062, kappa: 0.7932, kb_relative_information_score: 718.1072, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9063, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9093, kappa: 0.7999, kb_relative_information_score: 720.6918, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9094, predictive_accuracy: 0.9092, prior_entropy: 0.9312, recall: 0.9092, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9229, kappa: 0.8299, kb_relative_information_score: 753.7361, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.923, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9102, kappa: 0.8018, kb_relative_information_score: 715.4019, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9102, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9247, kappa: 0.8336, kb_relative_information_score: 736.7638, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9247, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.239, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.907, kappa: 0.7944, kb_relative_information_score: 720.3513, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9069, predictive_accuracy: 0.9071, prior_entropy: 0.9312, recall: 0.9071, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9124, kappa: 0.8069, kb_relative_information_score: 722.318, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9126, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8987, kappa: 0.7763, kb_relative_information_score: 677.1401, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8987, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.951, kappa: 0.8919, kb_relative_information_score: 843.449, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9176, kappa: 0.8181, kb_relative_information_score: 763.1386, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9176, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9258, kappa: 0.8358, kb_relative_information_score: 736.6838, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9257, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9196, kappa: 0.8224, kb_relative_information_score: 749.9102, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9196, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9185, kappa: 0.8197, kb_relative_information_score: 728.9845, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9184, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9209, kappa: 0.8261, kb_relative_information_score: 767.6701, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9214, predictive_accuracy: 0.9207, prior_entropy: 0.9312, recall: 0.9207, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9155, kappa: 0.8137, kb_relative_information_score: 759.5498, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9156, predictive_accuracy: 0.9154, prior_entropy: 0.9312, recall: 0.9154, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9313, kappa: 0.8487, kb_relative_information_score: 791.5703, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9316, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9071, kappa: 0.795, kb_relative_information_score: 713.2544, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9072, predictive_accuracy: 0.9071, prior_entropy: 0.9312, recall: 0.9071, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9113, kappa: 0.8042, kb_relative_information_score: 718.8848, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9113, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9062, kappa: 0.7932, kb_relative_information_score: 717.8413, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9063, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9102, kappa: 0.8018, kb_relative_information_score: 716.1931, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9102, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9238, kappa: 0.8316, kb_relative_information_score: 755.5639, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9237, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9134, kappa: 0.8088, kb_relative_information_score: 755.8942, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9134, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9278, kappa: 0.8402, kb_relative_information_score: 738.6177, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9277, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9428, kappa: 0.8742, kb_relative_information_score: 822.4559, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9433, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9209, kappa: 0.8258, kb_relative_information_score: 767.7258, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9212, predictive_accuracy: 0.9207, prior_entropy: 0.9312, recall: 0.9207, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9062, kappa: 0.7932, kb_relative_information_score: 714.9832, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9063, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9176, kappa: 0.8181, kb_relative_information_score: 755.0567, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9176, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9258, kappa: 0.8358, kb_relative_information_score: 738.4347, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9257, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9266, kappa: 0.8373, kb_relative_information_score: 749.6383, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9265, kappa: 0.8371, kb_relative_information_score: 743.8144, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9102, kappa: 0.8018, kb_relative_information_score: 719.5922, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9102, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.245, root_relative_squared_error: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9036, kappa: 0.7865, kb_relative_information_score: 707.435, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9035, predictive_accuracy: 0.904, prior_entropy: 0.9312, recall: 0.904, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9059, kappa: 0.792, kb_relative_information_score: 713.8849, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9058, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9232, kappa: 0.8314, kb_relative_information_score: 775.298, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9241, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9105, kappa: 0.8029, kb_relative_information_score: 723.4036, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9109, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9017, kappa: 0.7824, kb_relative_information_score: 708.9965, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9015, predictive_accuracy: 0.9019, prior_entropy: 0.9312, recall: 0.9019, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.903, kappa: 0.7858, kb_relative_information_score: 713.902, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.903, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9359, kappa: 0.8601, kb_relative_information_score: 811.427, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9384, predictive_accuracy: 0.9353, prior_entropy: 0.9312, recall: 0.9353, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9229, kappa: 0.8302, kb_relative_information_score: 772.9545, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9232, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9071, kappa: 0.795, kb_relative_information_score: 717.297, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9072, predictive_accuracy: 0.9071, prior_entropy: 0.9312, recall: 0.9071, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9312, kappa: 0.8485, kb_relative_information_score: 793.2993, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9315, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9258, kappa: 0.8358, kb_relative_information_score: 739.7953, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9257, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8945, kappa: 0.7667, kb_relative_information_score: 672.8673, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8944, predictive_accuracy: 0.8946, prior_entropy: 0.9312, recall: 0.8946, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9036, kappa: 0.7865, kb_relative_information_score: 706.7873, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9035, predictive_accuracy: 0.904, prior_entropy: 0.9312, recall: 0.904, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9246, kappa: 0.8331, kb_relative_information_score: 731.9735, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9245, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.93, kappa: 0.8453, kb_relative_information_score: 758.2504, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9299, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9304, kappa: 0.8472, kb_relative_information_score: 785.621, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9312, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9185, kappa: 0.8197, kb_relative_information_score: 729.2996, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9184, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8945, kappa: 0.7667, kb_relative_information_score: 675.6955, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8944, predictive_accuracy: 0.8946, prior_entropy: 0.9312, recall: 0.8946, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9154, kappa: 0.8129, kb_relative_information_score: 721.7653, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9153, predictive_accuracy: 0.9154, prior_entropy: 0.9312, recall: 0.9154, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5227,

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