Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8509, kappa: 0.7765, kb_relative_information_score: 3690.8077, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.852, predictive_accuracy: 0.8519, prior_entropy: 1.7151, recall: 0.8519, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 17.1809, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 5.5597, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, kappa: 0.4961, kb_relative_information_score: 1398.0775, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6957, prior_entropy: 1.7151, recall: 0.6957, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 18.232, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 146.5777, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8133, kappa: 0.7181, kb_relative_information_score: 3382.503, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8156, predictive_accuracy: 0.8158, prior_entropy: 1.7151, recall: 0.8158, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 26.026, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9527, kappa: 0.9285, kb_relative_information_score: 4609.2588, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9533, predictive_accuracy: 0.9529, prior_entropy: 1.7151, recall: 0.9529, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 7.8424, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.6602, kappa: 0.5234, kb_relative_information_score: 2513.6242, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7056, predictive_accuracy: 0.7045, prior_entropy: 1.7151, recall: 0.7045, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9566, kappa: 0.9344, kb_relative_information_score: 4810.4261, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 1.7151, recall: 0.9567, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 138.9325, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, kappa: 0.5015, kb_relative_information_score: 1382.5292, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7, prior_entropy: 1.7151, recall: 0.7, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 34.2174, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 213.6554, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9352, kappa: 0.9017, kb_relative_information_score: 4056.8644, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9379, predictive_accuracy: 0.9357, prior_entropy: 1.7151, recall: 0.9357, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.843, kappa: 0.762, kb_relative_information_score: 3888.4753, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8438, predictive_accuracy: 0.8438, prior_entropy: 1.7151, recall: 0.8438, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.239, root_relative_squared_error: 0.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8628, kappa: 0.7923, kb_relative_information_score: 4028.5425, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8633, predictive_accuracy: 0.8631, prior_entropy: 1.7151, recall: 0.8631, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0009, kb_relative_information_score: 33.7863, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3957, prior_entropy: 1.7151, recall: 0.3957, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9356, kappa: 0.9025, kb_relative_information_score: 4430.961, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9357, predictive_accuracy: 0.9357, prior_entropy: 1.7151, recall: 0.9357, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.4174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9893, kappa: 0.9839, kb_relative_information_score: 5137.914, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 1.7151, recall: 0.9894, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, kappa: 0.4937, kb_relative_information_score: 1195.4225, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6952, prior_entropy: 1.7151, recall: 0.6952, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5372.5922, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5393.7379, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5405.734, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.039, root_relative_squared_error: 0.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5380.2157, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.041, root_relative_squared_error: 0.1008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5262.2885, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5341.3086, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, kappa: 0.5456, kb_relative_information_score: 2138.7826, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.726, prior_entropy: 1.7151, recall: 0.726, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5376.0835, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 5241.4134, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5404.6092, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5216.1002, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5329.5214, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5314.0708, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.7515, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5245.0709, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5385.7257, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.994, kappa: 0.9909, kb_relative_information_score: 5331.6731, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5346.0656, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5234.0989, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5056.8649, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5140.1399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9897, kappa: 0.9845, kb_relative_information_score: 4967.7367, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 1.7151, recall: 0.9897, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9666, kappa: 0.9496, kb_relative_information_score: 4125.0992, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 1.7151, recall: 0.9666, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5402.1084, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5307.8493, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5402.8638, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.1078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5309.9176, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5379.8434, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5159.0964, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9907, kappa: 0.9859, kb_relative_information_score: 5369.9146, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 1.7151, recall: 0.9907, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5319.2168, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5168.4502, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.1713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5389.6081, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5250.9394, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5279.5439, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.1436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 4959.4554, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.7151, recall: 0.9896, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 8.8472, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5171.9781, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5335.7508, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5367.9483, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5381.62, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5327.1848, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.983, kappa: 0.9745, kb_relative_information_score: 4618.2399, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 1.7151, recall: 0.9831, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.3253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 11.8793, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 31.2334, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 39.72, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -521.089, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.1514, prior_entropy: 1.7151, recall: 0.1514, relative_absolute_error: 1.281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.6514, root_relative_squared_error: 1.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9828, kappa: 0.9741, kb_relative_information_score: 4814.4605, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9832, predictive_accuracy: 0.983, prior_entropy: 1.7151, recall: 0.983, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 17.2752, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 29.9615, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0009, kb_relative_information_score: 62.813, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3928, prior_entropy: 1.7151, recall: 0.3928, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8924, kappa: 0.8376, kb_relative_information_score: 4384.1862, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8925, predictive_accuracy: 0.8924, prior_entropy: 1.7151, recall: 0.8924, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kappa: -0.0009, kb_relative_information_score: 31.286, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3957, prior_entropy: 1.7151, recall: 0.3957, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 117.1702, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 68.1017, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8836, kappa: 0.8226, kb_relative_information_score: 2982.4213, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8947, predictive_accuracy: 0.8838, prior_entropy: 1.7151, recall: 0.8838, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.6465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8541, kappa: 0.7817, kb_relative_information_score: 3840.1845, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8555, predictive_accuracy: 0.8548, prior_entropy: 1.7151, recall: 0.8548, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -521.089, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.1514, prior_entropy: 1.7151, recall: 0.1514, relative_absolute_error: 1.281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.6514, root_relative_squared_error: 1.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 49.7287, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 8.5955, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0009, kb_relative_information_score: 22.8672, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3928, prior_entropy: 1.7151, recall: 0.3928, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8375, kappa: 0.7549, kb_relative_information_score: 3186.6541, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8379, predictive_accuracy: 0.8389, prior_entropy: 1.7151, recall: 0.8389, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8692, kappa: 0.802, kb_relative_information_score: 4077.4125, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8694, predictive_accuracy: 0.8693, prior_entropy: 1.7151, recall: 0.8693, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kappa: -0.0011, kb_relative_information_score: 27.7149, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3975, prior_entropy: 1.7151, recall: 0.3975, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8158, kappa: 0.7216, kb_relative_information_score: 3261.0063, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8233, predictive_accuracy: 0.8198, prior_entropy: 1.7151, recall: 0.8198, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, kb_relative_information_score: 43.2872, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8114, kappa: 0.7098, kb_relative_information_score: 3886.2311, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8511, predictive_accuracy: 0.7997, prior_entropy: 1.7151, recall: 0.7997, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, kappa: 0.499, kb_relative_information_score: 1869.3196, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6974, prior_entropy: 1.7151, recall: 0.6974, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 74.011, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9553, kappa: 0.9325, kb_relative_information_score: 4955.6638, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 1.7151, recall: 0.9553, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, kappa: 0.1526, kb_relative_information_score: 140.0347, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4936, prior_entropy: 1.7151, recall: 0.4936, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, kappa: 0.5506, kb_relative_information_score: 1477.8658, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7293, prior_entropy: 1.7151, recall: 0.7293, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 14.1229, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 73.2186, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 283.5287, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4095, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kappa: -0.0009, kb_relative_information_score: 79.9424, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3957, prior_entropy: 1.7151, recall: 0.3957, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8606, kappa: 0.7902, kb_relative_information_score: 3967.7722, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 1.7151, recall: 0.8609, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5617,

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

OpenML bootcamp

From your own software

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

OpenML APIs