OpenML
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 3848 Supervised Classification squash-unstored 496 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

496 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.748, kappa: 0.4925, kb_relative_information_score: 21.1144, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7512, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9584, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.6928, kappa: 0.3846, kb_relative_information_score: 19.3162, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6953, predictive_accuracy: 0.6923, prior_entropy: 0.996, recall: 0.6923, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8757, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 14.76, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8202, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6923, kappa: 0.381, kb_relative_information_score: 19.127, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6923, predictive_accuracy: 0.6923, prior_entropy: 0.996, recall: 0.6923, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.0905, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 21.0869, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0558, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7308, kappa: 0.4583, kb_relative_information_score: 15.778, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7308, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9364, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.6886, kappa: 0.3735, kb_relative_information_score: 20.271, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6933, predictive_accuracy: 0.6923, prior_entropy: 0.996, recall: 0.6923, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0018, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.3769, kb_relative_information_score: -0.1942, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0027, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7312, kappa: 0.4615, kb_relative_information_score: 17.1836, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7337, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9422, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8462, kappa: 0.6905, kb_relative_information_score: 28.5395, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.996, recall: 0.8462, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7214, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7692, kappa: 0.5357, kb_relative_information_score: 26.9909, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.996, recall: 0.7692, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9193, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.593, kappa: 0.1802, kb_relative_information_score: 3.6182, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.5938, predictive_accuracy: 0.5962, prior_entropy: 0.996, recall: 0.5962, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0513, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.7503, kappa: 0.4985, kb_relative_information_score: 21.4309, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7697, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 17.4884, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9872, scimark_benchmark: 927.2917, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 17.4884, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9872, scimark_benchmark: 936.3373, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 14.76, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8202, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7312, kappa: 0.4615, kb_relative_information_score: 17.1836, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7337, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9422, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8462, kappa: 0.6905, kb_relative_information_score: 28.5473, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.996, recall: 0.8462, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.721, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7692, kappa: 0.5357, kb_relative_information_score: 26.9909, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.996, recall: 0.7692, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9193, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 926.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.593, kappa: 0.1802, kb_relative_information_score: 3.6182, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.5938, predictive_accuracy: 0.5962, prior_entropy: 0.996, recall: 0.5962, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0513, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.7503, kappa: 0.4985, kb_relative_information_score: 21.4309, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7697, scimark_benchmark: 935.5664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 14.76, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8202, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 19.5805, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.758, scimark_benchmark: 931.7096, usercpu_time_millis: 1000, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7887, kappa: 0.5757, kb_relative_information_score: 19.2634, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7895, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7564, scimark_benchmark: 935.5664, usercpu_time_millis: 460, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.7887, kappa: 0.5757, kb_relative_information_score: 19.2378, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7895, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.758, scimark_benchmark: 939.3535, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7308, kappa: 0.4583, kb_relative_information_score: 18.1373, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7308, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7938, scimark_benchmark: 928.7131, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 18.5424, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.816, scimark_benchmark: 889.4922, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.824, kappa: 0.6465, kb_relative_information_score: 33.6176, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8372, predictive_accuracy: 0.8269, prior_entropy: 0.996, recall: 0.8269, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8115, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.824, kappa: 0.6465, kb_relative_information_score: 33.1673, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8372, predictive_accuracy: 0.8269, prior_entropy: 0.996, recall: 0.8269, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8332, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8443, kappa: 0.6867, kb_relative_information_score: 35.2001, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8529, predictive_accuracy: 0.8462, prior_entropy: 0.996, recall: 0.8462, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7854, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8256, kappa: 0.6486, kb_relative_information_score: 33.393, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8298, predictive_accuracy: 0.8269, prior_entropy: 0.996, recall: 0.8269, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8054, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7881, kappa: 0.5731, kb_relative_information_score: 30.3969, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8063, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.3769, kb_relative_information_score: -0.1942, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0027, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8068, kappa: 0.6108, kb_relative_information_score: 32.0002, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8084, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8694, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8068, kappa: 0.6108, kb_relative_information_score: 31.8746, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8084, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8756, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7881, kappa: 0.5731, kb_relative_information_score: 29.8095, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8918, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7881, kappa: 0.5731, kb_relative_information_score: 29.0784, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.896, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.7308, kappa: 0.4647, kb_relative_information_score: 21.9045, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7395, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0049, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.748, kappa: 0.4925, kb_relative_information_score: 21.1144, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7512, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9584, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6538, kappa: 0.3036, kb_relative_information_score: 6.6037, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6538, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9226, scimark_benchmark: 923.7471, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5385, kappa: 0.0824, kb_relative_information_score: 1.8543, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.5449, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0038, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7312, kappa: 0.4615, kb_relative_information_score: 17.1836, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7337, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9422, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8462, kappa: 0.6905, kb_relative_information_score: 28.5473, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.996, recall: 0.8462, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.721, scimark_benchmark: 919.6941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7692, kappa: 0.5357, kb_relative_information_score: 26.9909, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.996, recall: 0.7692, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9193, scimark_benchmark: 933.5515, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.593, kappa: 0.1802, kb_relative_information_score: 3.6182, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.5938, predictive_accuracy: 0.5962, prior_entropy: 0.996, recall: 0.5962, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0513, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.7503, kappa: 0.4985, kb_relative_information_score: 21.4309, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7697, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 17.4884, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9872, scimark_benchmark: 946.6409, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 14.76, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8202, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7312, kappa: 0.4615, kb_relative_information_score: 17.1836, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7337, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9422, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1333.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 14.76, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8202, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.593, kappa: 0.1802, kb_relative_information_score: 3.6182, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.5938, predictive_accuracy: 0.5962, prior_entropy: 0.996, recall: 0.5962, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0513, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7312, kappa: 0.4615, kb_relative_information_score: 17.1836, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7337, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9422, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.7503, kappa: 0.4985, kb_relative_information_score: 21.4309, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7697, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8462, kappa: 0.6905, kb_relative_information_score: 28.5395, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.996, recall: 0.8462, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7214, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 14.76, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8202, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7312, kappa: 0.4615, kb_relative_information_score: 17.1836, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7337, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9422, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7503, kappa: 0.5015, kb_relative_information_score: 19.8046, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.949, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 16.5951, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9861, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.7503, kappa: 0.4985, kb_relative_information_score: 21.4309, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7697, scimark_benchmark: 1393.8432,

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