Task
Supervised Classification on fri_c4_250_100

Supervised Classification on fri_c4_250_100

Task 4404 Supervised Classification fri_c4_250_100 209 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

209 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8073, kappa: 0.6091, kb_relative_information_score: 1352.5374, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 0.9898, recall: 0.8072, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7819, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7722, kappa: 0.5384, kb_relative_information_score: 1047.1397, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7726, predictive_accuracy: 0.772, prior_entropy: 0.9898, recall: 0.772, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8057, scimark_benchmark: 972.587, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7787, kappa: 0.5515, kb_relative_information_score: 1233.2431, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7791, predictive_accuracy: 0.7784, prior_entropy: 0.9898, recall: 0.7784, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8208, scimark_benchmark: 934.3687, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 904.0772, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 931.771, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.805, kappa: 0.6048, kb_relative_information_score: 1038.7762, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8054, predictive_accuracy: 0.8048, prior_entropy: 0.9898, recall: 0.8048, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.747, scimark_benchmark: 938.191, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.6274, kappa: 0.2437, kb_relative_information_score: 357.6972, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6344, predictive_accuracy: 0.6376, prior_entropy: 0.9898, recall: 0.6376, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9805, scimark_benchmark: 932.2692, usercpu_time_millis: 190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7495, kappa: 0.4916, kb_relative_information_score: 1140.8471, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7496, prior_entropy: 0.9898, recall: 0.7496, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9138, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 932.438, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 974.2014, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7425, kappa: 0.476, kb_relative_information_score: 450.2596, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7472, prior_entropy: 0.9898, recall: 0.7472, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8776, scimark_benchmark: 937.5117, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8073, kappa: 0.6091, kb_relative_information_score: 1352.5374, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 0.9898, recall: 0.8072, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7819, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7722, kappa: 0.5384, kb_relative_information_score: 1047.1397, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7726, predictive_accuracy: 0.772, prior_entropy: 0.9898, recall: 0.772, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8057, scimark_benchmark: 908.9569, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7787, kappa: 0.5515, kb_relative_information_score: 1233.2431, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7791, predictive_accuracy: 0.7784, prior_entropy: 0.9898, recall: 0.7784, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8208, scimark_benchmark: 938.1282, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 930.404, usercpu_time_millis: 230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 926.5462, usercpu_time_millis: 210, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.805, kappa: 0.6048, kb_relative_information_score: 1038.7762, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8054, predictive_accuracy: 0.8048, prior_entropy: 0.9898, recall: 0.8048, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.747, scimark_benchmark: 930.404, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.6274, kappa: 0.2437, kb_relative_information_score: 357.6972, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6344, predictive_accuracy: 0.6376, prior_entropy: 0.9898, recall: 0.6376, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9805, scimark_benchmark: 938.4601, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7495, kappa: 0.4916, kb_relative_information_score: 1140.8471, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7496, prior_entropy: 0.9898, recall: 0.7496, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9138, scimark_benchmark: 945.6228, usercpu_time_millis: 1030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7425, kappa: 0.476, kb_relative_information_score: 450.2596, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7472, prior_entropy: 0.9898, recall: 0.7472, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8776, scimark_benchmark: 936.3213, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7392, kappa: 0.4693, kb_relative_information_score: 483.3646, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7463, predictive_accuracy: 0.744, prior_entropy: 0.9898, recall: 0.744, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8738, scimark_benchmark: 936.2574, usercpu_time_millis: 14660, usercpu_time_millis_testing: 5880, usercpu_time_millis_training: 8780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7296, kappa: 0.4496, kb_relative_information_score: 477.6918, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7349, predictive_accuracy: 0.734, prior_entropy: 0.9898, recall: 0.734, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8781, scimark_benchmark: 859.5223, usercpu_time_millis: 7540, usercpu_time_millis_testing: 2800, usercpu_time_millis_training: 4740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7072, kappa: 0.404, kb_relative_information_score: 463.0538, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7119, predictive_accuracy: 0.712, prior_entropy: 0.9898, recall: 0.712, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8866, scimark_benchmark: 935.3212, usercpu_time_millis: 3660, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.6957, kappa: 0.3804, kb_relative_information_score: 474.1668, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8923, scimark_benchmark: 933.9, usercpu_time_millis: 1680, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.664, kappa: 0.3157, kb_relative_information_score: 423.3298, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6647, predictive_accuracy: 0.6672, prior_entropy: 0.9898, recall: 0.6672, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9275, scimark_benchmark: 920.3788, usercpu_time_millis: 730, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8041, kappa: 0.6021, kb_relative_information_score: 1483.2267, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.804, predictive_accuracy: 0.8044, prior_entropy: 0.9898, recall: 0.8044, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8233, scimark_benchmark: 929.0296, usercpu_time_millis: 1480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8019, kappa: 0.5977, kb_relative_information_score: 1458.7145, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8018, predictive_accuracy: 0.802, prior_entropy: 0.9898, recall: 0.802, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8137, scimark_benchmark: 941.9549, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8023, kappa: 0.5986, kb_relative_information_score: 1422.2041, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9898, recall: 0.8024, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8022, scimark_benchmark: 894.7131, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7803, kappa: 0.5533, kb_relative_information_score: 1287.4081, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7802, predictive_accuracy: 0.7808, prior_entropy: 0.9898, recall: 0.7808, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8157, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7848, kappa: 0.5623, kb_relative_information_score: 1188.2753, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.785, predictive_accuracy: 0.7856, prior_entropy: 0.9898, recall: 0.7856, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7983, scimark_benchmark: 926.5859, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0524, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8071, kappa: 0.6082, kb_relative_information_score: 1516.386, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.807, predictive_accuracy: 0.8072, prior_entropy: 0.9898, recall: 0.8072, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8252, scimark_benchmark: 938.3115, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8085, kappa: 0.6109, kb_relative_information_score: 1488.3164, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8084, predictive_accuracy: 0.8088, prior_entropy: 0.9898, recall: 0.8088, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8141, scimark_benchmark: 941.9549, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7952, kappa: 0.5843, kb_relative_information_score: 1395.0955, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7951, predictive_accuracy: 0.7952, prior_entropy: 0.9898, recall: 0.7952, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8357, scimark_benchmark: 935.6052, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7726, kappa: 0.5381, kb_relative_information_score: 1277.6874, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7724, predictive_accuracy: 0.7728, prior_entropy: 0.9898, recall: 0.7728, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8659, scimark_benchmark: 929.0296, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7168, kappa: 0.4232, kb_relative_information_score: 1032.1235, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7185, predictive_accuracy: 0.7196, prior_entropy: 0.9898, recall: 0.7196, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9394, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 253.9206, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7799, kappa: 0.5543, kb_relative_information_score: 1359.7121, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7806, predictive_accuracy: 0.7796, prior_entropy: 0.9898, recall: 0.7796, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9272, scimark_benchmark: 922.8232, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7709, kappa: 0.5366, kb_relative_information_score: 590.9199, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7722, predictive_accuracy: 0.7704, prior_entropy: 0.9898, recall: 0.7704, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8443, scimark_benchmark: 894.7131, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6102, kappa: 0.2108, kb_relative_information_score: 214.1583, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6197, predictive_accuracy: 0.6236, prior_entropy: 0.9898, recall: 0.6236, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9636, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8073, kappa: 0.6091, kb_relative_information_score: 1352.5374, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 0.9898, recall: 0.8072, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7819, scimark_benchmark: 934.929, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7722, kappa: 0.5384, kb_relative_information_score: 1047.1397, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7726, predictive_accuracy: 0.772, prior_entropy: 0.9898, recall: 0.772, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8057, scimark_benchmark: 933.0918, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7787, kappa: 0.5515, kb_relative_information_score: 1233.2431, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7791, predictive_accuracy: 0.7784, prior_entropy: 0.9898, recall: 0.7784, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8208, scimark_benchmark: 938.9926, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 938.5476, usercpu_time_millis: 310, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 952.4682, usercpu_time_millis: 220, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.805, kappa: 0.6048, kb_relative_information_score: 1038.7762, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8054, predictive_accuracy: 0.8048, prior_entropy: 0.9898, recall: 0.8048, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.747, scimark_benchmark: 946.9304, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.6274, kappa: 0.2437, kb_relative_information_score: 357.6972, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6344, predictive_accuracy: 0.6376, prior_entropy: 0.9898, recall: 0.6376, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9805, scimark_benchmark: 879.4299, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 879.4299, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7495, kappa: 0.4916, kb_relative_information_score: 1140.8471, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7496, prior_entropy: 0.9898, recall: 0.7496, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9138, scimark_benchmark: 910.6607, usercpu_time_millis: 1000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7425, kappa: 0.476, kb_relative_information_score: 450.2596, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7472, prior_entropy: 0.9898, recall: 0.7472, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8776, scimark_benchmark: 942.3809, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8073, kappa: 0.6091, kb_relative_information_score: 1352.5374, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 0.9898, recall: 0.8072, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7819, scimark_benchmark: 936.4883, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.4021, kb_relative_information_score: -0.722, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 949.7766, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7722, kappa: 0.5384, kb_relative_information_score: 1047.1397, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7726, predictive_accuracy: 0.772, prior_entropy: 0.9898, recall: 0.772, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8057, scimark_benchmark: 932.1893, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 906.4475, usercpu_time_millis: 320, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 1292.514, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7722, kappa: 0.5384, kb_relative_information_score: 1047.1397, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7726, predictive_accuracy: 0.772, prior_entropy: 0.9898, recall: 0.772, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8057, scimark_benchmark: 1357.1971, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8248, kappa: 0.646, kb_relative_information_score: 1464.6757, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8265, predictive_accuracy: 0.8244, prior_entropy: 0.9898, recall: 0.8244, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6954, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1339.2472, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1322.5413, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1286.2211, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 1316.3384, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8248, kappa: 0.646, kb_relative_information_score: 1464.6757, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8265, predictive_accuracy: 0.8244, prior_entropy: 0.9898, recall: 0.8244, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6954, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8248, kappa: 0.646, kb_relative_information_score: 1464.6757, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8265, predictive_accuracy: 0.8244, prior_entropy: 0.9898, recall: 0.8244, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6954, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1374.9737, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8073, kappa: 0.6091, kb_relative_information_score: 1352.5374, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 0.9898, recall: 0.8072, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7819, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.6274, kappa: 0.2437, kb_relative_information_score: 357.6972, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6344, predictive_accuracy: 0.6376, prior_entropy: 0.9898, recall: 0.6376, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9805, scimark_benchmark: 1313.11, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1339.2472, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1333.0982, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1325.8468, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.805, kappa: 0.6048, kb_relative_information_score: 1038.7762, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8054, predictive_accuracy: 0.8048, prior_entropy: 0.9898, recall: 0.8048, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.747, scimark_benchmark: 1327.3335, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1332.7986, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7495, kappa: 0.4916, kb_relative_information_score: 1140.8471, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7496, prior_entropy: 0.9898, recall: 0.7496, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9138, scimark_benchmark: 1322.1893, usercpu_time_millis: 1030, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7425, kappa: 0.476, kb_relative_information_score: 450.2596, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7472, prior_entropy: 0.9898, recall: 0.7472, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8776, scimark_benchmark: 1354.5533, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5904, kappa: 0.1687, kb_relative_information_score: 406.4851, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.5903, predictive_accuracy: 0.5904, prior_entropy: 0.9898, recall: 0.5904, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6287, root_relative_squared_error: 1.2665, scimark_benchmark: 1320.2063, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7874, kappa: 0.5689, kb_relative_information_score: 1395.906, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7876, predictive_accuracy: 0.7872, prior_entropy: 0.9898, recall: 0.7872, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9161, scimark_benchmark: 1364.991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7787, kappa: 0.5515, kb_relative_information_score: 1233.2431, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7791, predictive_accuracy: 0.7784, prior_entropy: 0.9898, recall: 0.7784, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8208, scimark_benchmark: 1321.8132, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7708, kappa: 0.535, kb_relative_information_score: 1207.3477, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7709, predictive_accuracy: 0.7708, prior_entropy: 0.9898, recall: 0.7708, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8616, scimark_benchmark: 1337.1928, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8248, kappa: 0.646, kb_relative_information_score: 1464.6757, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8265, predictive_accuracy: 0.8244, prior_entropy: 0.9898, recall: 0.8244, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6954, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1324.2313, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1343.7262, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.805, kappa: 0.6048, kb_relative_information_score: 1038.7762, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8054, predictive_accuracy: 0.8048, prior_entropy: 0.9898, recall: 0.8048, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.747, scimark_benchmark: 1303.9481, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7495, kappa: 0.4916, kb_relative_information_score: 1140.8471, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7496, prior_entropy: 0.9898, recall: 0.7496, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9138, scimark_benchmark: 1332.6745, usercpu_time_millis: 990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.824, kappa: 0.6442, kb_relative_information_score: 1472.1583, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8255, predictive_accuracy: 0.8236, prior_entropy: 0.9898, recall: 0.8236, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6985, scimark_benchmark: 1260.1387, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7495, kappa: 0.4916, kb_relative_information_score: 1140.8471, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7495, predictive_accuracy: 0.7496, prior_entropy: 0.9898, recall: 0.7496, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9138, scimark_benchmark: 1352.4218, usercpu_time_millis: 1000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6059, kappa: 0.2132, kb_relative_information_score: 613.2269, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6333, predictive_accuracy: 0.6304, prior_entropy: 0.9898, recall: 0.6304, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2247, scimark_benchmark: 1298.7011, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,

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