Task
Supervised Classification on trains

Supervised Classification on trains

Task 1815 Supervised Classification trains 345 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

345 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.6303, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.8871, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6317, root_relative_squared_error: 1.2634, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0568, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.696, root_relative_squared_error: 1.392, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.4949, kb_relative_information_score: -2.0752, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0826, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5798, kappa: 0.16, kb_relative_information_score: 2.7255, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.005, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6347, kappa: 0.28, kb_relative_information_score: 13.2478, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6486, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9614, scimark_benchmark: 943.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5798, kappa: 0.16, kb_relative_information_score: 2.7255, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.005, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.6303, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0568, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.696, root_relative_squared_error: 1.392, scimark_benchmark: 608.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 14.4407, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0327, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.4949, kb_relative_information_score: -2.0752, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0826, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6347, kappa: 0.28, kb_relative_information_score: 13.2478, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6486, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9614, scimark_benchmark: 917.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5798, kappa: 0.16, kb_relative_information_score: 2.7255, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.005, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.4792, kappa: -0.04, kb_relative_information_score: 2.413, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4799, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0245, scimark_benchmark: 938.4601, usercpu_time_millis: 400, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.5572, kappa: 0.12, kb_relative_information_score: 3.1649, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5616, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0107, scimark_benchmark: 901.6243, usercpu_time_millis: 220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 3.0074, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0185, scimark_benchmark: 928.7131, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.5169, kappa: 0.04, kb_relative_information_score: 2.0773, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5205, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.517, root_relative_squared_error: 1.034, scimark_benchmark: 939.7883, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4792, kappa: -0.04, kb_relative_information_score: -0.1704, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4799, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0881, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -1.9265, mean_absolute_error: 0.5143, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.519, root_relative_squared_error: 1.0381, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 8, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.6303, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.6303, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0568, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.696, root_relative_squared_error: 1.392, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 939.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.4949, kb_relative_information_score: -2.0752, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0826, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.52, kappa: 0.04, kb_relative_information_score: 1.1882, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0725, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6347, kappa: 0.28, kb_relative_information_score: 13.2478, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6486, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9614, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5798, kappa: 0.16, kb_relative_information_score: 2.7255, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.005, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.6303, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 933.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.52, kappa: 0.04, kb_relative_information_score: 1.1882, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0725, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6347, kappa: 0.28, kb_relative_information_score: 13.2478, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6486, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9614, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.6303, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 1339.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 14.4407, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0327, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.4949, kb_relative_information_score: -2.0752, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0826, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.52, kappa: 0.04, kb_relative_information_score: 1.1882, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0725, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1296.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 14.4407, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0327, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.52, kappa: 0.04, kb_relative_information_score: 1.1882, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0725, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 14.4407, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0327, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.4949, kb_relative_information_score: -2.0752, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0826, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.6303, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.52, kappa: 0.04, kb_relative_information_score: 1.1882, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0725, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.6303, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.52, kappa: 0.04, kb_relative_information_score: 1.1882, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0725, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6347, kappa: 0.28, kb_relative_information_score: 13.2478, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6486, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9614, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5798, kappa: 0.16, kb_relative_information_score: 2.7255, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.005, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5974, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6026, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1331.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0568, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.696, root_relative_squared_error: 1.392, scimark_benchmark: 1336.4564, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.4949, kb_relative_information_score: -2.0752, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0826, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.52, kappa: 0.04, kb_relative_information_score: 1.1882, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0725, scimark_benchmark: 1357.8069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5417, kappa: 0.12, kb_relative_information_score: 6.426, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5714, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1644, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6347, kappa: 0.28, kb_relative_information_score: 13.2478, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6486, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9614, scimark_benchmark: 1316.7198,

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