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: 0.998, f_measure: 0.9919, kappa: 0.9878, kb_relative_information_score: 5392.6362, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 1.7151, recall: 0.9919, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5389.755, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5398.4345, mean_absolute_error: 0.0037, 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: 0.0112, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5376.032, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5368.6163, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5408.124, mean_absolute_error: 0.003, 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: 0.0091, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.0572, mean_absolute_error: 0.0048, 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: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 5401.8676, mean_absolute_error: 0.0035, 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: 0.0104, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5399.1219, mean_absolute_error: 0.0035, 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: 0.0107, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5398.5639, mean_absolute_error: 0.0037, 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: 0.0111, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5412.9237, mean_absolute_error: 0.0025, 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: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.1229, mean_absolute_error: 0.0049, 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: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5313.807, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 5325.9348, mean_absolute_error: 0.0115, 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: 0.0347, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5412.1639, mean_absolute_error: 0.0025, 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: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 534.1631, mean_absolute_error: 0.3415, 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: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5370.4279, mean_absolute_error: 0.0058, 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: 0.0176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5409.1884, mean_absolute_error: 0.0029, 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: 0.0087, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 5359.2954, mean_absolute_error: 0.0069, 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: 0.0207, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5435.3072, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9906, kappa: 0.9859, kb_relative_information_score: 5082.3201, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 1.7151, recall: 0.9907, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5391.8372, mean_absolute_error: 0.0051, 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: 0.0155, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5367.0741, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9888, kappa: 0.9831, kb_relative_information_score: 4829.7653, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1.7151, recall: 0.9888, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5386.8084, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9878, kappa: 0.9817, kb_relative_information_score: 4805.1492, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 1.7151, recall: 0.9879, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5390.0448, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0409, root_relative_squared_error: 0.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5365.6684, mean_absolute_error: 0.0077, 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: 0.0231, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5399.3818, mean_absolute_error: 0.0035, 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: 0.0105, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5343.0575, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5329.8328, mean_absolute_error: 0.0112, 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: 0.0339, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5388.0044, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.1766, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5389.8791, mean_absolute_error: 0.0044, 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: 0.0134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 235.9854, mean_absolute_error: 0.3587, 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: 1.083, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 219.0561, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9972, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 1.087, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8575, kappa: 0.7879, kb_relative_information_score: 50.8979, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8779, predictive_accuracy: 0.86, prior_entropy: 1.7151, recall: 0.86, relative_absolute_error: 1.1149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 534.3676, mean_absolute_error: 0.3415, 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: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 420.2974, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5407.9334, mean_absolute_error: 0.003, 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: 0.0091, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.0138, mean_absolute_error: 0.0048, 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: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5364.0034, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5383.0956, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5132.5255, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5370.5714, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.1001, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.0311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5375.0977, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 421.3098, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5329.3388, mean_absolute_error: 0.0118, 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: 0.0356, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5369.245, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 220.8916, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 1.086, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 5433.1869, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9875, kb_relative_information_score: 5360.8734, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 1.7151, recall: 0.9918, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5407.5866, mean_absolute_error: 0.003, 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: 0.009, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5391.1279, mean_absolute_error: 0.0043, 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: 0.013, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9901, kappa: 0.9851, kb_relative_information_score: 5362.6981, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 1.7151, recall: 0.9901, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.1561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 196.4281, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0919, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.8358, mean_absolute_error: 0.0047, 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: 0.0141, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8247, kappa: 0.7503, kb_relative_information_score: 48.7671, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8581, predictive_accuracy: 0.8402, prior_entropy: 1.7151, recall: 0.8402, relative_absolute_error: 1.1131, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.383, mean_absolute_error: 0.0047, 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: 0.0143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5374.967, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.3514, mean_absolute_error: 0.0047, 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: 0.0143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.6563, kappa: 0.4835, kb_relative_information_score: 2304.3783, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6636, predictive_accuracy: 0.6607, prior_entropy: 1.7151, recall: 0.6607, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5397.8499, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5405.8846, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.048, root_relative_squared_error: 0.1179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 5437.5904, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 398.7111, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0564, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5365.4936, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5267.0575, mean_absolute_error: 0.0175, 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: 0.0528, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5357.9934, mean_absolute_error: 0.0086, 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: 0.0258, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8586, kappa: 0.7898, kb_relative_information_score: 49.7621, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8771, predictive_accuracy: 0.8613, prior_entropy: 1.7151, recall: 0.8613, relative_absolute_error: 1.1151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5370.6341, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 200.9208, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9818, kappa: 0.9725, kb_relative_information_score: 5264.1281, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9828, predictive_accuracy: 0.9817, prior_entropy: 1.7151, recall: 0.9817, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5377.2038, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5403.1502, mean_absolute_error: 0.0033, 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: 0.0101, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5411.8682, mean_absolute_error: 0.0025, 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: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.914, kappa: 0.8719, kb_relative_information_score: 4678.0777, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9223, predictive_accuracy: 0.9148, prior_entropy: 1.7151, recall: 0.9148, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5389.3708, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5408.2682, mean_absolute_error: 0.0029, 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: 0.0089, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5375.2524, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5376.1931, mean_absolute_error: 0.0064, 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: 0.0194, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9855, kappa: 0.9781, kb_relative_information_score: 4807.8762, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.7151, recall: 0.9855, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5371.8812, mean_absolute_error: 0.0057, 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: 0.0172, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5389.3688, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 194.1904, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0924, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5311.949, mean_absolute_error: 0.0129, 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: 0.039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9907, kappa: 0.9859, kb_relative_information_score: 5374.3943, mean_absolute_error: 0.0055, 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: 0.0165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.6719, kappa: 0.51, kb_relative_information_score: 2469.8332, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.689, predictive_accuracy: 0.6783, prior_entropy: 1.7151, recall: 0.6783, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5384.4917, mean_absolute_error: 0.0058, 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: 0.0174, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5409.3477, mean_absolute_error: 0.0034, 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: 0.0102, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5405.0808, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.04, root_relative_squared_error: 0.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5416.272, mean_absolute_error: 0.0023, 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: 0.0071, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 212.0753, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 1.0885, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.0233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5312.6189, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5274.5947, mean_absolute_error: 0.0168, 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: 0.0507, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.7585, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5410.9239, mean_absolute_error: 0.0026, 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: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 473.6365, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5393.7272, mean_absolute_error: 0.0041, 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: 0.0123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1277,

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