Task
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 146800 Supervised Classification MiceProtein 9545 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8478, kappa: 0.8251, kb_relative_information_score: 879.8433, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8512, predictive_accuracy: 0.8472, prior_entropy: 2.9931, recall: 0.8472, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9084, kappa: 0.8951, kb_relative_information_score: 813.3041, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9092, predictive_accuracy: 0.9083, prior_entropy: 2.9931, recall: 0.9083, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9667, kappa: 0.9618, kb_relative_information_score: 885.0033, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 2.9931, recall: 0.9667, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8949, kappa: 0.8792, kb_relative_information_score: 729.8208, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8977, predictive_accuracy: 0.8944, prior_entropy: 2.9931, recall: 0.8944, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.897, kappa: 0.8824, kb_relative_information_score: 869.7272, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8978, predictive_accuracy: 0.8972, prior_entropy: 2.9931, recall: 0.8972, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9392, kappa: 0.9301, kb_relative_information_score: 748.5575, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9404, predictive_accuracy: 0.9389, prior_entropy: 2.9931, recall: 0.9389, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9639, kappa: 0.9587, kb_relative_information_score: 859.271, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.964, predictive_accuracy: 0.9639, prior_entropy: 2.9931, recall: 0.9639, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 970.7598, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9827, predictive_accuracy: 0.9824, prior_entropy: 2.9931, recall: 0.9824, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8588, kappa: 0.8389, kb_relative_information_score: 842.6487, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8596, predictive_accuracy: 0.8593, prior_entropy: 2.9931, recall: 0.8593, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9473, kappa: 0.9396, kb_relative_information_score: 818.0752, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9479, predictive_accuracy: 0.9472, prior_entropy: 2.9931, recall: 0.9472, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9308, kappa: 0.9205, kb_relative_information_score: 827.543, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9318, predictive_accuracy: 0.9306, prior_entropy: 2.9931, recall: 0.9306, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9843, kappa: 0.982, kb_relative_information_score: 891.5257, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9908, kappa: 0.9894, kb_relative_information_score: 941.6309, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9602, kappa: 0.9544, kb_relative_information_score: 655.1498, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9605, predictive_accuracy: 0.9602, prior_entropy: 2.9931, recall: 0.9602, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8959, kappa: 0.8801, kb_relative_information_score: 479.3723, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9002, predictive_accuracy: 0.8954, prior_entropy: 2.9931, recall: 0.8954, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9685, kappa: 0.964, kb_relative_information_score: 840.3831, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.976, kappa: 0.9724, kb_relative_information_score: 883.4558, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 2.9931, recall: 0.9759, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 960.275, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8331, kappa: 0.8081, kb_relative_information_score: 878.2017, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8377, predictive_accuracy: 0.8324, prior_entropy: 2.9931, recall: 0.8324, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9005, kappa: 0.8855, kb_relative_information_score: 781.1503, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9027, predictive_accuracy: 0.9, prior_entropy: 2.9931, recall: 0.9, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.938, kappa: 0.929, kb_relative_information_score: 893.5296, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9384, predictive_accuracy: 0.938, prior_entropy: 2.9931, recall: 0.938, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.897, kappa: 0.8824, kb_relative_information_score: 868.2099, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8979, predictive_accuracy: 0.8972, prior_entropy: 2.9931, recall: 0.8972, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9317, kappa: 0.9216, kb_relative_information_score: 876.0006, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9322, predictive_accuracy: 0.9315, prior_entropy: 2.9931, recall: 0.9315, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8817, kappa: 0.8643, kb_relative_information_score: 920.4233, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.883, predictive_accuracy: 0.8815, prior_entropy: 2.9931, recall: 0.8815, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9695, kappa: 0.965, kb_relative_information_score: 920.2661, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 2.9931, recall: 0.9694, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8309, kappa: 0.806, kb_relative_information_score: 848.7593, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8333, predictive_accuracy: 0.8306, prior_entropy: 2.9931, recall: 0.8306, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8831, kappa: 0.8654, kb_relative_information_score: 757.6305, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8861, predictive_accuracy: 0.8824, prior_entropy: 2.9931, recall: 0.8824, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8743, kappa: 0.8558, kb_relative_information_score: 808.1528, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8759, predictive_accuracy: 0.8741, prior_entropy: 2.9931, recall: 0.8741, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9566, kappa: 0.9502, kb_relative_information_score: 781.9852, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9572, predictive_accuracy: 0.9565, prior_entropy: 2.9931, recall: 0.9565, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9105, kappa: 0.8972, kb_relative_information_score: 653.8384, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9127, predictive_accuracy: 0.9102, prior_entropy: 2.9931, recall: 0.9102, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9732, kappa: 0.9693, kb_relative_information_score: 905.1328, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9735, predictive_accuracy: 0.9731, prior_entropy: 2.9931, recall: 0.9731, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9685, kappa: 0.964, kb_relative_information_score: 948.201, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9501, kappa: 0.9428, kb_relative_information_score: 850.6873, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9505, predictive_accuracy: 0.95, prior_entropy: 2.9931, recall: 0.95, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8398, kappa: 0.8167, kb_relative_information_score: 883.6363, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8401, predictive_accuracy: 0.8398, prior_entropy: 2.9931, recall: 0.8398, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9371, kappa: 0.928, kb_relative_information_score: 957.2534, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9377, predictive_accuracy: 0.937, prior_entropy: 2.9931, recall: 0.937, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9319, kappa: 0.9216, kb_relative_information_score: 811.2421, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9331, predictive_accuracy: 0.9315, prior_entropy: 2.9931, recall: 0.9315, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8769, kappa: 0.8591, kb_relative_information_score: 921.125, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8774, predictive_accuracy: 0.8769, prior_entropy: 2.9931, recall: 0.8769, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9732, kappa: 0.9693, kb_relative_information_score: 928.2728, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9734, predictive_accuracy: 0.9731, prior_entropy: 2.9931, recall: 0.9731, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9409, kappa: 0.9322, kb_relative_information_score: 752.3891, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9416, predictive_accuracy: 0.9407, prior_entropy: 2.9931, recall: 0.9407, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9704, kappa: 0.9661, kb_relative_information_score: 893.9972, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9707, predictive_accuracy: 0.9704, prior_entropy: 2.9931, recall: 0.9704, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8987, kappa: 0.8834, kb_relative_information_score: 776.2632, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9009, predictive_accuracy: 0.8981, prior_entropy: 2.9931, recall: 0.8981, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9667, kappa: 0.9618, kb_relative_information_score: 920.8429, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 2.9931, recall: 0.9667, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8849, kappa: 0.8686, kb_relative_information_score: 822.2503, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8855, predictive_accuracy: 0.8852, prior_entropy: 2.9931, recall: 0.8852, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9428, kappa: 0.9343, kb_relative_information_score: 760.2861, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.944, predictive_accuracy: 0.9426, prior_entropy: 2.9931, recall: 0.9426, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8622, kappa: 0.8421, kb_relative_information_score: 845.6759, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8631, predictive_accuracy: 0.862, prior_entropy: 2.9931, recall: 0.862, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 974.554, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.2827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9815, kappa: 0.9788, kb_relative_information_score: 976.8158, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 2.9931, recall: 0.9815, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.987, kappa: 0.9852, kb_relative_information_score: 964.4175, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9872, predictive_accuracy: 0.987, prior_entropy: 2.9931, recall: 0.987, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8612, kappa: 0.841, kb_relative_information_score: 806.6565, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8626, predictive_accuracy: 0.8611, prior_entropy: 2.9931, recall: 0.8611, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9565, kappa: 0.9502, kb_relative_information_score: 808.7366, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9567, predictive_accuracy: 0.9565, prior_entropy: 2.9931, recall: 0.9565, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9223, kappa: 0.911, kb_relative_information_score: 859.1692, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9227, predictive_accuracy: 0.9222, prior_entropy: 2.9931, recall: 0.9222, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8649, kappa: 0.8453, kb_relative_information_score: 910.497, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8656, predictive_accuracy: 0.8648, prior_entropy: 2.9931, recall: 0.8648, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8614, kappa: 0.841, kb_relative_information_score: 907.887, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8629, predictive_accuracy: 0.8611, prior_entropy: 2.9931, recall: 0.8611, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9409, kappa: 0.9322, kb_relative_information_score: 839.65, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9417, predictive_accuracy: 0.9407, prior_entropy: 2.9931, recall: 0.9407, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9871, kappa: 0.9852, kb_relative_information_score: 902.657, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 2.9931, recall: 0.987, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9861, kappa: 0.9841, kb_relative_information_score: 937.444, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8303, kappa: 0.8062, kb_relative_information_score: 854.8378, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8325, predictive_accuracy: 0.8306, prior_entropy: 2.9931, recall: 0.8306, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.7892, kappa: 0.7584, kb_relative_information_score: 826.2135, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7903, predictive_accuracy: 0.7889, prior_entropy: 2.9931, recall: 0.7889, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9594, kappa: 0.9534, kb_relative_information_score: 906.1037, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9598, predictive_accuracy: 0.9593, prior_entropy: 2.9931, recall: 0.9593, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9686, kappa: 0.964, kb_relative_information_score: 871.9941, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8883, kappa: 0.8718, kb_relative_information_score: 832.5949, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8893, predictive_accuracy: 0.888, prior_entropy: 2.9931, recall: 0.888, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.171, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9833, kappa: 0.9809, kb_relative_information_score: 890.0112, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 2.9931, recall: 0.9833, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.4052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8761, kappa: 0.858, kb_relative_information_score: 808.5775, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8773, predictive_accuracy: 0.8759, prior_entropy: 2.9931, recall: 0.8759, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9686, kappa: 0.964, kb_relative_information_score: 648.6832, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.969, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9648, kappa: 0.9597, kb_relative_information_score: 889.2541, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.965, predictive_accuracy: 0.9648, prior_entropy: 2.9931, recall: 0.9648, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9667, kappa: 0.9619, kb_relative_information_score: 833.9545, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 2.9931, recall: 0.9667, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8991, kappa: 0.8845, kb_relative_information_score: 714.0387, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9022, predictive_accuracy: 0.8991, prior_entropy: 2.9931, recall: 0.8991, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9601, kappa: 0.9544, kb_relative_information_score: 790.1317, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9604, predictive_accuracy: 0.9602, prior_entropy: 2.9931, recall: 0.9602, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9528, kappa: 0.946, kb_relative_information_score: 917.0737, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9528, prior_entropy: 2.9931, recall: 0.9528, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9528, kappa: 0.946, kb_relative_information_score: 776.3331, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9534, predictive_accuracy: 0.9528, prior_entropy: 2.9931, recall: 0.9528, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9685, kappa: 0.964, kb_relative_information_score: 881.289, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9722, kappa: 0.9682, kb_relative_information_score: 833.5486, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 2.9931, recall: 0.9722, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.962, kappa: 0.9566, kb_relative_information_score: 926.287, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 2.9931, recall: 0.962, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.126, root_relative_squared_error: 0.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8945, kappa: 0.8792, kb_relative_information_score: 740.52, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8983, predictive_accuracy: 0.8944, prior_entropy: 2.9931, recall: 0.8944, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.865, kappa: 0.8453, kb_relative_information_score: 907.2115, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8658, predictive_accuracy: 0.8648, prior_entropy: 2.9931, recall: 0.8648, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8939, kappa: 0.8781, kb_relative_information_score: 776.6754, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8966, predictive_accuracy: 0.8935, prior_entropy: 2.9931, recall: 0.8935, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9566, kappa: 0.9502, kb_relative_information_score: 907.3258, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 2.9931, recall: 0.9565, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9454, kappa: 0.9375, kb_relative_information_score: 843.9473, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.946, predictive_accuracy: 0.9454, prior_entropy: 2.9931, recall: 0.9454, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9, kappa: 0.8856, kb_relative_information_score: 939.4859, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 2.9931, recall: 0.9, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.963, kappa: 0.9576, kb_relative_information_score: 811.959, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9632, predictive_accuracy: 0.963, prior_entropy: 2.9931, recall: 0.963, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.8725, kappa: 0.8537, kb_relative_information_score: 790.735, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8744, predictive_accuracy: 0.8722, prior_entropy: 2.9931, recall: 0.8722, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.5548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9447, kappa: 0.9364, kb_relative_information_score: 889.706, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9454, predictive_accuracy: 0.9444, prior_entropy: 2.9931, recall: 0.9444, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9528, kappa: 0.946, kb_relative_information_score: 914.4968, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9531, predictive_accuracy: 0.9528, prior_entropy: 2.9931, recall: 0.9528, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9796, kappa: 0.9767, kb_relative_information_score: 792.3359, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 2.9931, recall: 0.9796, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9759, kappa: 0.9724, kb_relative_information_score: 905.164, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 2.9931, recall: 0.9759, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8075, kappa: 0.7808, kb_relative_information_score: 841.7902, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8101, predictive_accuracy: 0.8083, prior_entropy: 2.9931, recall: 0.8083, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9484, kappa: 0.9407, kb_relative_information_score: 879.4384, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.949, predictive_accuracy: 0.9481, prior_entropy: 2.9931, recall: 0.9481, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8897, kappa: 0.8739, kb_relative_information_score: 875.1199, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8904, predictive_accuracy: 0.8898, prior_entropy: 2.9931, recall: 0.8898, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 926.3768, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9464, kappa: 0.9385, kb_relative_information_score: 896.5498, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9468, predictive_accuracy: 0.9463, prior_entropy: 2.9931, recall: 0.9463, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9778, kappa: 0.9746, kb_relative_information_score: 712.1128, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 2.9931, recall: 0.9778, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8716, kappa: 0.8527, kb_relative_information_score: 790.2811, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8746, predictive_accuracy: 0.8713, prior_entropy: 2.9931, recall: 0.8713, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.5555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9639, kappa: 0.9587, kb_relative_information_score: 924.7933, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9641, predictive_accuracy: 0.9639, prior_entropy: 2.9931, recall: 0.9639, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9852, kappa: 0.983, kb_relative_information_score: 908.8695, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 2.9931, recall: 0.9852, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9639, kappa: 0.9587, kb_relative_information_score: 692.3004, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9642, predictive_accuracy: 0.9639, prior_entropy: 2.9931, recall: 0.9639, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8845, kappa: 0.8675, kb_relative_information_score: 796.4963, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8859, predictive_accuracy: 0.8843, prior_entropy: 2.9931, recall: 0.8843, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.5454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9852, kappa: 0.983, kb_relative_information_score: 878.3105, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 2.9931, recall: 0.9852, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.8974, kappa: 0.8824, kb_relative_information_score: 840.6554, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8981, predictive_accuracy: 0.8972, prior_entropy: 2.9931, recall: 0.8972, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9806, kappa: 0.9778, kb_relative_information_score: 914.2435, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9808, predictive_accuracy: 0.9806, prior_entropy: 2.9931, recall: 0.9806, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.898, kappa: 0.8824, kb_relative_information_score: 787.0169, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9013, predictive_accuracy: 0.8972, prior_entropy: 2.9931, recall: 0.8972, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.5549,

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