OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261557 runs submitted
0 likes downloaded by 3 people , 4 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

261557 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.6025, kappa: 0.1418, kb_relative_information_score: 78.2548, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7919, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.904, scimark_benchmark: 1375.886, usercpu_time_millis: 0.533, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.5213, kb_relative_information_score: -0.6037, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1375.4704, usercpu_time_millis: 0.277, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8205, kappa: 0.5916, kb_relative_information_score: 152.195, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8694, predictive_accuracy: 0.8369, prior_entropy: 0.9279, recall: 0.8369, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.82, scimark_benchmark: 1371.0379, usercpu_time_millis: 3.222, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7317, kappa: 0.3964, kb_relative_information_score: 110.5876, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8215, predictive_accuracy: 0.7704, prior_entropy: 0.9279, recall: 0.7704, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8635, scimark_benchmark: 1376.3105, usercpu_time_millis: 3.628, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 3.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.5213, kb_relative_information_score: 70.899, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9143, scimark_benchmark: 1353.2907, usercpu_time_millis: 3.255, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 2.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.5213, kb_relative_information_score: 7.4376, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9853, scimark_benchmark: 1374.2166, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.5213, kb_relative_information_score: 60.9027, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9249, scimark_benchmark: 1375.6371, usercpu_time_millis: 1.552, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: -0.2465, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1377.1314, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.5213, kb_relative_information_score: 29.8879, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9595, scimark_benchmark: 1368.5023, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.7702, kappa: 0.4801, kb_relative_information_score: 143.2041, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8459, predictive_accuracy: 0.7987, prior_entropy: 0.9279, recall: 0.7987, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8299, scimark_benchmark: 1377.3038, usercpu_time_millis: 1.23, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.5213, kb_relative_information_score: -2.2055, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1370.296, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8744, kappa: 0.7142, kb_relative_information_score: 214.599, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8999, predictive_accuracy: 0.8819, prior_entropy: 0.9279, recall: 0.8819, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7407, scimark_benchmark: 1370.8962, usercpu_time_millis: 5.067, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 4.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9665, kappa: 0.9251, kb_relative_information_score: 330.2241, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5739, scimark_benchmark: 1368.8797, usercpu_time_millis: 2.88, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9732, kappa: 0.9404, kb_relative_information_score: 363.1111, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9735, predictive_accuracy: 0.9734, prior_entropy: 0.9279, recall: 0.9734, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5238, scimark_benchmark: 1372.323, usercpu_time_millis: 3.576, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 3.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.5213, kb_relative_information_score: 37.8663, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9509, scimark_benchmark: 1369.8297, usercpu_time_millis: 0.283, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.6648, kappa: 0.2596, kb_relative_information_score: 84.1617, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8009, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8983, scimark_benchmark: 1367.6507, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2071, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1366.5029, usercpu_time_millis: 1.091, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, f_measure: 0.5213, kb_relative_information_score: -4.0443, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1375.1087, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5213, kb_relative_information_score: 18.1587, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9743, scimark_benchmark: 1377.1342, usercpu_time_millis: 1.197, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8977, kappa: 0.7678, kb_relative_information_score: 238.0981, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9111, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7115, scimark_benchmark: 1373.1712, usercpu_time_millis: 3.701, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 3.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9834, kappa: 0.9631, kb_relative_information_score: 379.8515, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4936, scimark_benchmark: 1370.2326, usercpu_time_millis: 4.17, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 3.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9339, kappa: 0.8513, kb_relative_information_score: 306.3658, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9371, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.6095, scimark_benchmark: 1374.2588, usercpu_time_millis: 5.422, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 4.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.7865, kappa: 0.515, kb_relative_information_score: 137.642, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8408, predictive_accuracy: 0.8087, prior_entropy: 0.9279, recall: 0.8087, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8325, scimark_benchmark: 1365.959, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9496, kappa: 0.8874, kb_relative_information_score: 315.8364, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9504, predictive_accuracy: 0.9501, prior_entropy: 0.9279, recall: 0.9501, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5994, scimark_benchmark: 1370.9552, usercpu_time_millis: 0.954, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.258, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1373.3485, usercpu_time_millis: 0.676, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.6825, kappa: 0.2861, kb_relative_information_score: 76.5514, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7476, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9058, scimark_benchmark: 1378.5325, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 550.0893, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.081, root_relative_squared_error: 0.1706, scimark_benchmark: 1372.2855, usercpu_time_millis: 2.234, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.5213, kb_relative_information_score: -1.2112, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1369.9383, usercpu_time_millis: 1.457, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.9589, kb_relative_information_score: 319.7599, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9822, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5859, scimark_benchmark: 1371.6923, usercpu_time_millis: 5.103, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 4.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5213, kb_relative_information_score: -0.1338, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1376.4814, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.5213, kb_relative_information_score: -0.6471, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1376.7925, usercpu_time_millis: 0.624, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.7904, kappa: 0.5245, kb_relative_information_score: 149.5686, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8548, predictive_accuracy: 0.8136, prior_entropy: 0.9279, recall: 0.8136, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8213, scimark_benchmark: 1371.4631, usercpu_time_millis: 4.116, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 3.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.5213, kb_relative_information_score: -2.7673, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9994, scimark_benchmark: 1370.6105, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 1.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9048, kappa: 0.7841, kb_relative_information_score: 236.2486, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9175, predictive_accuracy: 0.9085, prior_entropy: 0.9279, recall: 0.9085, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7113, scimark_benchmark: 1365.769, usercpu_time_millis: 0.566, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.68, kappa: 0.2909, kb_relative_information_score: 94.1658, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8131, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8854, scimark_benchmark: 1377.4014, usercpu_time_millis: 3.184, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.6254, kappa: 0.182, kb_relative_information_score: 61.0038, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7767, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9169, scimark_benchmark: 1369.7068, usercpu_time_millis: 1.403, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9109, kappa: 0.7986, kb_relative_information_score: 267.5559, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9181, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.669, scimark_benchmark: 1369.8239, usercpu_time_millis: 4.745, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 4.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8229, kappa: 0.597, kb_relative_information_score: 167.2572, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8432, predictive_accuracy: 0.8336, prior_entropy: 0.9279, recall: 0.8336, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8023, scimark_benchmark: 1376.5729, usercpu_time_millis: 4.298, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 3.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9052, kappa: 0.7868, kb_relative_information_score: 293.3603, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9074, predictive_accuracy: 0.9068, prior_entropy: 0.9279, recall: 0.9068, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6399, scimark_benchmark: 1374.57, usercpu_time_millis: 2.796, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.5213, kb_relative_information_score: -3.5915, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.997, scimark_benchmark: 1374.0689, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.5808, kappa: 0.063, kb_relative_information_score: 25.4983, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5979, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.976, scimark_benchmark: 1374.3283, usercpu_time_millis: 0.232, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.5466, kappa: 0.0408, kb_relative_information_score: 49.8341, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7366, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9375, scimark_benchmark: 1378.0072, usercpu_time_millis: 0.714, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.99, kappa: 0.9779, kb_relative_information_score: 472.955, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3491, scimark_benchmark: 1376.7396, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9425, kappa: 0.8708, kb_relative_information_score: 308.2579, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9451, predictive_accuracy: 0.9434, prior_entropy: 0.9279, recall: 0.9434, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6067, scimark_benchmark: 1382.7216, usercpu_time_millis: 5.894, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 5.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.5213, kb_relative_information_score: 12.2552, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9811, scimark_benchmark: 1377.7844, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 1.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5213, kb_relative_information_score: -0.5465, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1378.4243, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.5213, kb_relative_information_score: 36.5357, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9517, scimark_benchmark: 1381.428, usercpu_time_millis: 0.589, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5213, kb_relative_information_score: -6.1977, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0049, scimark_benchmark: 1384.5476, usercpu_time_millis: 1.262, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.5905, kappa: 0.117, kb_relative_information_score: 59.967, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7577, predictive_accuracy: 0.6872, prior_entropy: 0.9279, recall: 0.6872, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9264, scimark_benchmark: 1371.2122, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.6632, kappa: 0.2575, kb_relative_information_score: 98.9492, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.808, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8808, scimark_benchmark: 1368.3913, usercpu_time_millis: 0.652, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2037, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1370.5687, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.5213, kb_relative_information_score: 29.7274, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9595, scimark_benchmark: 1375.3607, usercpu_time_millis: 0.806, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8772, kappa: 0.7207, kb_relative_information_score: 198.104, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8968, predictive_accuracy: 0.8835, prior_entropy: 0.9279, recall: 0.8835, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7631, scimark_benchmark: 1370.2629, usercpu_time_millis: 4.417, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 3.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9193, kappa: 0.8173, kb_relative_information_score: 252.1217, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9283, predictive_accuracy: 0.9218, prior_entropy: 0.9279, recall: 0.9218, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6908, scimark_benchmark: 1369.0739, usercpu_time_millis: 1.704, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.6296, kappa: 0.1912, kb_relative_information_score: 72.9068, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7883, predictive_accuracy: 0.7088, prior_entropy: 0.9279, recall: 0.7088, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9095, scimark_benchmark: 1375.0922, usercpu_time_millis: 3.537, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 3.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.7556, kappa: 0.4478, kb_relative_information_score: 114.6665, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8321, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8579, scimark_benchmark: 1374.9293, usercpu_time_millis: 3.355, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 2.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9129, kappa: 0.8032, kb_relative_information_score: 250.5383, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9189, predictive_accuracy: 0.9151, prior_entropy: 0.9279, recall: 0.9151, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6917, scimark_benchmark: 1343.6102, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.5213, kb_relative_information_score: -3.9871, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9994, scimark_benchmark: 1370.6036, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: -0.672, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1370.5861, usercpu_time_millis: 0.296, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.5327, kappa: 0.0191, kb_relative_information_score: 55.0551, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7769, predictive_accuracy: 0.6622, prior_entropy: 0.9279, recall: 0.6622, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9308, scimark_benchmark: 1376.5807, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.6882, kappa: 0.3074, kb_relative_information_score: 97.0904, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8156, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8805, scimark_benchmark: 1367.8973, usercpu_time_millis: 1.531, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.6663, kappa: 0.2617, kb_relative_information_score: 83.8874, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7944, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8965, scimark_benchmark: 1372.3058, usercpu_time_millis: 1.255, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9666, kappa: 0.9254, kb_relative_information_score: 417.1673, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4536, scimark_benchmark: 1376.3806, usercpu_time_millis: 2.168, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.6594, kappa: 0.247, kb_relative_information_score: 70.3167, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7846, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9058, scimark_benchmark: 1375.4331, usercpu_time_millis: 1.705, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.5213, kb_relative_information_score: 16.1805, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9762, scimark_benchmark: 1370.9469, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.5213, kb_relative_information_score: -5.2116, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991, scimark_benchmark: 1357.9806, usercpu_time_millis: 0.341, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.5213, kb_relative_information_score: 17.3366, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9757, scimark_benchmark: 1371.8774, usercpu_time_millis: 0.876, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 411.7744, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4387, scimark_benchmark: 1370.2348, usercpu_time_millis: 6.765, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 5.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.5213, kb_relative_information_score: 25.2639, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9663, scimark_benchmark: 1376.0973, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.5213, kb_relative_information_score: 74.872, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9102, scimark_benchmark: 1378.0363, usercpu_time_millis: 3.741, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.5213, kb_relative_information_score: 18.6779, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9737, scimark_benchmark: 1368.6136, usercpu_time_millis: 2.226, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 586.4879, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1099, scimark_benchmark: 1374.8007, usercpu_time_millis: 2.857, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.9555, kb_relative_information_score: 374.0128, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5084, scimark_benchmark: 1378.6118, usercpu_time_millis: 1.757, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 1.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5213, kb_relative_information_score: -3.5872, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1375.6682, usercpu_time_millis: 1.454, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.5213, kb_relative_information_score: 20.3706, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9715, scimark_benchmark: 1377.3331, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7821, kappa: 0.5053, kb_relative_information_score: 140.2133, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8385, predictive_accuracy: 0.8053, prior_entropy: 0.9279, recall: 0.8053, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8307, scimark_benchmark: 1374.6527, usercpu_time_millis: 4.887, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 4.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.7838, kappa: 0.5098, kb_relative_information_score: 148.6008, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8518, predictive_accuracy: 0.8087, prior_entropy: 0.9279, recall: 0.8087, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.8236, scimark_benchmark: 1373.5259, usercpu_time_millis: 2.21, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 2.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 47.5364, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9372, scimark_benchmark: 1374.6606, usercpu_time_millis: 1.5, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.5213, kb_relative_information_score: 25.3344, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9651, scimark_benchmark: 1374.2957, usercpu_time_millis: 1.407, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.5347, kappa: 0.0187, kb_relative_information_score: 41.454, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6626, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9464, scimark_benchmark: 1374.6303, usercpu_time_millis: 1.824, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.5213, kb_relative_information_score: -5.0567, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9998, scimark_benchmark: 1374.5646, usercpu_time_millis: 0.629, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5213, kb_relative_information_score: 0.0452, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1375.8014, usercpu_time_millis: 0.516, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 61.6445, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.924, scimark_benchmark: 1374.8689, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1448, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1896.923, usercpu_time_millis: 1.273, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5213, kb_relative_information_score: -2.1259, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1887.2329, usercpu_time_millis: 0.589, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9525, kappa: 0.8931, kb_relative_information_score: 278.6605, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9565, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6501, scimark_benchmark: 2025.3992, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.5213, kb_relative_information_score: 29.3085, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9593, scimark_benchmark: 1782.4952, usercpu_time_millis: 1.032, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 26.713, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4308, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9678, scimark_benchmark: 1767.4979, usercpu_time_millis: 2.194, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.7346, kappa: 0.4035, kb_relative_information_score: 127.3752, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8317, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8475, scimark_benchmark: 1773.9157, usercpu_time_millis: 1.424, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.7246, kappa: 0.3826, kb_relative_information_score: 123.7829, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.828, predictive_accuracy: 0.7671, prior_entropy: 0.9279, recall: 0.7671, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8534, scimark_benchmark: 1867.041, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5213, kb_relative_information_score: 0.1965, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1928.9871, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1023, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1746.3778, usercpu_time_millis: 1.319, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.956, kappa: 0.901, kb_relative_information_score: 289.7819, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9594, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6338, scimark_benchmark: 1743.471, usercpu_time_millis: 6.447, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 5.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5213, kb_relative_information_score: -2.2282, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1818.607, usercpu_time_millis: 1.334, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.5439, kappa: 0.0379, kb_relative_information_score: 63.4633, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7791, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9193, scimark_benchmark: 1822.3029, usercpu_time_millis: 3.479, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9816, kappa: 0.9591, kb_relative_information_score: 394.4935, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4694, scimark_benchmark: 1807.8368, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5213, kb_relative_information_score: 19.3606, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9739, scimark_benchmark: 1686.5233, usercpu_time_millis: 2.002, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8021, kappa: 0.561, kb_relative_information_score: 274.949, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8022, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7355, scimark_benchmark: 1786.1151, usercpu_time_millis: 1.181, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7246, kappa: 0.3815, kb_relative_information_score: 209.0407, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7227, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8287, scimark_benchmark: 1796.3174, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.03,

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