OpenML
Supervised Classification on AP_Breast_Prostate

Supervised Classification on AP_Breast_Prostate

Task 3956 Supervised Classification AP_Breast_Prostate 76 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 slow study_123 study_15 study_20 under100k
Issue #Downvotes for this reason By


Metric:

76 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 385.2231, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9903, kappa: 0.9648, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9879, kappa: 0.9562, kb_relative_information_score: 384.6888, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9878, predictive_accuracy: 0.9879, prior_entropy: 0.6547, recall: 0.9879, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.2945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9951, kappa: 0.9824, kb_relative_information_score: 391.9003, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6547, recall: 0.9952, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.683, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9903, kappa: 0.9652, kb_relative_information_score: 226.9032, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9855, kappa: 0.9478, kb_relative_information_score: 385.9742, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 0.6547, recall: 0.9855, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9879, kappa: 0.9568, kb_relative_information_score: 388.5483, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.988, predictive_accuracy: 0.9879, prior_entropy: 0.6547, recall: 0.9879, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.2946, scimark_benchmark: 1150.4212, usercpu_time_millis: 1870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.757, kb_relative_information_score: 3.0474, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.3731, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 373.453, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.094, root_relative_squared_error: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9879, kappa: 0.9562, kb_relative_information_score: 389.0245, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9878, predictive_accuracy: 0.9879, prior_entropy: 0.6547, recall: 0.9879, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.11, root_relative_squared_error: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.667, kappa: -0.0007, kb_relative_information_score: -251.7034, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.7215, predictive_accuracy: 0.6295, prior_entropy: 0.6547, recall: 0.6295, relative_absolute_error: 1.326, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.6316, scimark_benchmark: 1586.7278, usercpu_time_millis: 1263875, usercpu_time_millis_testing: 82953.125, usercpu_time_millis_training: 1180921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9903, kappa: 0.9648, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638, scimark_benchmark: 1922.3298, usercpu_time_millis: 12265.625, usercpu_time_millis_testing: 5843.75, usercpu_time_millis_training: 6421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9951, kappa: 0.9824, kb_relative_information_score: 402.0123, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6547, recall: 0.9952, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1865, scimark_benchmark: 1922.3298, usercpu_time_millis: 13187.5, usercpu_time_millis_testing: 5859.375, usercpu_time_millis_training: 7328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.757, kb_relative_information_score: 111.953, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.0957, scimark_benchmark: 1922.3298, usercpu_time_millis: 32093.75, usercpu_time_millis_testing: 16406.25, usercpu_time_millis_training: 15687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.757, kb_relative_information_score: 111.953, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.0957, scimark_benchmark: 1280.301, usercpu_time_millis: 35218.75, usercpu_time_millis_testing: 13781.25, usercpu_time_millis_training: 21437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.757, kb_relative_information_score: 12.9946, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0012, scimark_benchmark: 1336.0164, usercpu_time_millis: 1270010, usercpu_time_millis_testing: 57790, usercpu_time_millis_training: 1212220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.757, kb_relative_information_score: 111.953, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.0957, scimark_benchmark: 1391.8132, usercpu_time_millis: 28740, usercpu_time_millis_testing: 13320, usercpu_time_millis_training: 15420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.757, kb_relative_information_score: 111.953, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.0957, scimark_benchmark: 1388.2582, usercpu_time_millis: 57310, usercpu_time_millis_testing: 28900, usercpu_time_millis_training: 28410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9903, kappa: 0.9648, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638, scimark_benchmark: 1618.623, usercpu_time_millis: 17400, usercpu_time_millis_testing: 8310, usercpu_time_millis_training: 9090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9951, kappa: 0.9824, kb_relative_information_score: 402.0123, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6547, recall: 0.9952, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1865, scimark_benchmark: 1385.3035, usercpu_time_millis: 16780, usercpu_time_millis_testing: 8220, usercpu_time_millis_training: 8560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.667, kappa: -0.0007, kb_relative_information_score: -251.7034, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.7215, predictive_accuracy: 0.6295, prior_entropy: 0.6547, recall: 0.6295, relative_absolute_error: 1.326, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.6316, scimark_benchmark: 1665.974, usercpu_time_millis: 489281.25, usercpu_time_millis_testing: 130640.625, usercpu_time_millis_training: 358640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.683, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285, scimark_benchmark: 1149.6232, usercpu_time_millis: 9130, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 9030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9904, kappa: 0.9656, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9905, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638, scimark_benchmark: 1331.7367, usercpu_time_millis: 5300, usercpu_time_millis_testing: 2970, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9903, kappa: 0.9652, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638, scimark_benchmark: 1344.4057, usercpu_time_millis: 2400, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.683, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285, scimark_benchmark: 1506.9398, usercpu_time_millis: 6220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 6120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.757, kb_relative_information_score: 14.0088, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.0016, scimark_benchmark: 1286.0761, usercpu_time_millis: 445430, usercpu_time_millis_testing: 107670, usercpu_time_millis_training: 337760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9856, kappa: 0.9484, kb_relative_information_score: 383.3585, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 0.6547, recall: 0.9855, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.3249, scimark_benchmark: 1314.3562, usercpu_time_millis: 770230, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 770110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9903, kappa: 0.9648, kb_relative_information_score: 390.9621, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.2632, scimark_benchmark: 1356.1194, usercpu_time_millis: 10310, usercpu_time_millis_testing: 8950, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.6831, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285, scimark_benchmark: 1373.8007, usercpu_time_millis: 160230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9879, kappa: 0.9562, kb_relative_information_score: 388.3117, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9878, predictive_accuracy: 0.9879, prior_entropy: 0.6547, recall: 0.9879, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2949, scimark_benchmark: 954.6061, usercpu_time_millis: 8070, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 7990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9783, kappa: 0.9222, kb_relative_information_score: 365.0741, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9784, predictive_accuracy: 0.9782, prior_entropy: 0.6547, recall: 0.9782, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3887, scimark_benchmark: 870.1937, usercpu_time_millis: 3330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9902, kappa: 0.9644, kb_relative_information_score: 360.0773, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2743, scimark_benchmark: 1058.8316, usercpu_time_millis: 2470, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9904, kappa: 0.9656, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9905, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638, scimark_benchmark: 1152.3719, usercpu_time_millis: 11580, usercpu_time_millis_testing: 3180, usercpu_time_millis_training: 8400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.2067, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.228, scimark_benchmark: 889.7968, usercpu_time_millis: 3900, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9904, kappa: 0.9656, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9905, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638, scimark_benchmark: 1373.1173, usercpu_time_millis: 5120, usercpu_time_millis_testing: 2870, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9903, kappa: 0.9652, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638, scimark_benchmark: 1347.4023, usercpu_time_millis: 1970, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.757, kb_relative_information_score: 12.9946, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0012, scimark_benchmark: 1003.3823, usercpu_time_millis: 524100, usercpu_time_millis_testing: 118100, usercpu_time_millis_training: 406000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9856, kappa: 0.9484, kb_relative_information_score: 383.3585, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 0.6547, recall: 0.9855, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.3249, scimark_benchmark: 1143.2331, usercpu_time_millis: 912260, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 912160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9903, kappa: 0.9648, kb_relative_information_score: 390.9621, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.2632, scimark_benchmark: 724.949, usercpu_time_millis: 14270, usercpu_time_millis_testing: 12730, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.6831, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285, scimark_benchmark: 1304.4008, usercpu_time_millis: 160630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.983, kappa: 0.9387, kb_relative_information_score: 378.0515, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.983, predictive_accuracy: 0.9831, prior_entropy: 0.6547, recall: 0.9831, relative_absolute_error: 0.0695, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.3497, scimark_benchmark: 610.6584, usercpu_time_millis: 7960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9855, kappa: 0.9478, kb_relative_information_score: 378.2384, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 0.6547, recall: 0.9855, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.3192, scimark_benchmark: 659.2495, usercpu_time_millis: 3560, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9902, kappa: 0.9644, kb_relative_information_score: 359.5936, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.272, scimark_benchmark: 729.445, usercpu_time_millis: 3140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.988, kappa: 0.9572, kb_relative_information_score: 389.0245, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9883, predictive_accuracy: 0.9879, prior_entropy: 0.6547, recall: 0.9879, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.11, root_relative_squared_error: 0.295, scimark_benchmark: 939.518, usercpu_time_millis: 13720, usercpu_time_millis_testing: 3090, usercpu_time_millis_training: 10630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.2067, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.228, scimark_benchmark: 891.9015, usercpu_time_millis: 3450, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 397.683, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285, scimark_benchmark: 1181.115, usercpu_time_millis: 23920, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 23870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 394.0747, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2281, scimark_benchmark: 868.876, usercpu_time_millis: 17780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 389.1175, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.2137, scimark_benchmark: 1197.4445, usercpu_time_millis: 19460, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 19390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9879, kappa: 0.9568, kb_relative_information_score: 387.7654, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.988, predictive_accuracy: 0.9879, prior_entropy: 0.6547, recall: 0.9879, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2995, scimark_benchmark: 1241.7337, usercpu_time_millis: 12510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.683, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285, scimark_benchmark: 1128.8005, usercpu_time_millis: 18890, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 18870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.6831, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285, scimark_benchmark: 1358.2402, usercpu_time_millis: 154150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 154140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.757, kb_relative_information_score: 12.9968, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.6938, predictive_accuracy: 0.8329, prior_entropy: 0.6547, recall: 0.8329, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0012, scimark_benchmark: 1511.4144, usercpu_time_millis: 225480, usercpu_time_millis_testing: 57420, usercpu_time_millis_training: 168060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 396.4793, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.2084, scimark_benchmark: 1370.1389, usercpu_time_millis: 12620, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 12120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9902, kappa: 0.9644, kb_relative_information_score: 386.5584, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.2636, scimark_benchmark: 967.1741, usercpu_time_millis: 25230, usercpu_time_millis_testing: 25230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 393.5153, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.2187, scimark_benchmark: 1369.2857, usercpu_time_millis: 13390, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 12780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9903, kappa: 0.9648, kb_relative_information_score: 393.5073, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2253, scimark_benchmark: 1356.6799, usercpu_time_millis: 13420, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 12850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9879, kappa: 0.9568, kb_relative_information_score: 389.0245, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.988, predictive_accuracy: 0.9879, prior_entropy: 0.6547, recall: 0.9879, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.11, root_relative_squared_error: 0.295, scimark_benchmark: 1613.929, usercpu_time_millis: 10340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9854, kappa: 0.9472, kb_relative_information_score: 377.4526, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9854, predictive_accuracy: 0.9855, prior_entropy: 0.6547, recall: 0.9855, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.3251, scimark_benchmark: 1570.8266, usercpu_time_millis: 10990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9951, kappa: 0.9824, kb_relative_information_score: 402.0123, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6547, recall: 0.9952, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1865, scimark_benchmark: 1328.0041, usercpu_time_millis: 12490, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 12400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 368.4204, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.25, scimark_benchmark: 1373.9292, usercpu_time_millis: 12420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9951, kappa: 0.9824, kb_relative_information_score: 402.0123, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6547, recall: 0.9952, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1865, scimark_benchmark: 1384.7732, usercpu_time_millis: 20740, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 20630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9951, kappa: 0.9824, kb_relative_information_score: 399.597, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6547, recall: 0.9952, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.1862, scimark_benchmark: 1410.4387, usercpu_time_millis: 12920, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 12650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 389.1469, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.237, scimark_benchmark: 1166.3151, usercpu_time_millis: 24380, usercpu_time_millis_testing: 24380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9927, kappa: 0.9734, kb_relative_information_score: 393.0784, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2373, scimark_benchmark: 1390.2217, usercpu_time_millis: 30290, usercpu_time_millis_testing: 30290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9903, kappa: 0.9652, kb_relative_information_score: 393.3538, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2638, scimark_benchmark: 1183.263, usercpu_time_millis: 830, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9856, kappa: 0.9484, kb_relative_information_score: 384.219, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 0.6547, recall: 0.9855, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.3228, scimark_benchmark: 1072.1566, usercpu_time_millis: 21740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 21720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9856, kappa: 0.9484, kb_relative_information_score: 383.3584, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 0.6547, recall: 0.9855, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.3249, scimark_benchmark: 1558.4112, usercpu_time_millis: 526290, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 526240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9927, kappa: 0.9737, kb_relative_information_score: 397.683, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6547, recall: 0.9927, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2285, scimark_benchmark: 1061.8194, usercpu_time_millis: 6950, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 6800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9951, kappa: 0.9824, kb_relative_information_score: 402.0123, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6547, recall: 0.9952, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1865, scimark_benchmark: 918.391, usercpu_time_millis: 3700, usercpu_time_millis_testing: 2850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9879, kappa: 0.9562, kb_relative_information_score: 388.7904, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9878, predictive_accuracy: 0.9879, prior_entropy: 0.6547, recall: 0.9879, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2948, scimark_benchmark: 883.6949, usercpu_time_millis: 5310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9951, kappa: 0.9824, kb_relative_information_score: 402.0123, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6547, recall: 0.9952, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1865, scimark_benchmark: 865.739, usercpu_time_millis: 9550, usercpu_time_millis_testing: 3080, usercpu_time_millis_training: 6470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9902, kappa: 0.9644, kb_relative_information_score: 353.642, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2865, scimark_benchmark: 999.8873, usercpu_time_millis: 1610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9854, kappa: 0.9472, kb_relative_information_score: 379.2431, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9854, predictive_accuracy: 0.9855, prior_entropy: 0.6547, recall: 0.9855, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.3229, scimark_benchmark: 992.7441, usercpu_time_millis: 1160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9903, kappa: 0.9648, kb_relative_information_score: 390.9621, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.2632, scimark_benchmark: 1087.9186, usercpu_time_millis: 11980, usercpu_time_millis_testing: 11980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9903, kappa: 0.9652, kb_relative_information_score: 392.8775, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6547, recall: 0.9903, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.2634, scimark_benchmark: 1200.7997, usercpu_time_millis: 1770, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1740,

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