Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 271 Supervised Classification soybean 321 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

321 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 1310.6554, usercpu_time_millis: 410, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 1366.7181, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, 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: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1347.1763, usercpu_time_millis: 410, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 37.656, build_memory: 1414772640, f_measure: 0.9022, kappa: 0.9013, kb_relative_information_score: 200.0264, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9181, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4414, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, build_cpu_time: 0.004, build_memory: 641806232, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, build_cpu_time: 0.005, build_memory: 122891768, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 0.049, build_memory: 154519680, f_measure: 0.897, kappa: 0.8963, kb_relative_information_score: 197.6518, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9146, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4242, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 0.049, build_memory: 272796344, f_measure: 0.897, kappa: 0.8963, kb_relative_information_score: 197.6518, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9146, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4242, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.172, build_memory: 57799776, f_measure: 0.9213, kappa: 0.9162, kb_relative_information_score: 203.7419, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.932, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3952, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.159, build_memory: 195402944, f_measure: 0.9213, kappa: 0.9162, kb_relative_information_score: 203.7542, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.932, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3951, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.334, build_memory: 1977863768, f_measure: 0.924, kappa: 0.9164, kb_relative_information_score: 206.4999, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9291, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.3738, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.188, build_memory: 581674408, f_measure: 0.9213, kappa: 0.9162, kb_relative_information_score: 203.7419, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.932, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3952, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 0.166, build_memory: 1698748856, f_measure: 0.9169, kappa: 0.9113, kb_relative_information_score: 202.9967, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9282, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3983, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 0.808, build_memory: 1165020424, f_measure: 0.9184, kappa: 0.9113, kb_relative_information_score: 203.2262, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9247, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.4111, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 0.053, build_memory: 432650488, f_measure: 0.897, kappa: 0.8963, kb_relative_information_score: 197.6518, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9146, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4242, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.51, build_memory: 88170848, f_measure: 0.9213, kappa: 0.9162, kb_relative_information_score: 203.7419, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.932, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3952, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 1281.7531, usercpu_time_millis: 16760, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 15460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1331.7953, usercpu_time_millis: 450, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1323.4116, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9413, kappa: 0.936, kb_relative_information_score: 209.3327, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9442, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.306, scimark_benchmark: 1318.2298, usercpu_time_millis: 1800, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8387, kappa: 0.8269, kb_relative_information_score: 28.1321, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9201, predictive_accuracy: 0.8444, prior_entropy: 3.8572, recall: 0.8444, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9977, scimark_benchmark: 1313.6093, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 885.0921, usercpu_time_millis: 1450, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8681, kappa: 0.857, kb_relative_information_score: 195.876, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8821, predictive_accuracy: 0.8711, prior_entropy: 3.8572, recall: 0.8711, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.4351, scimark_benchmark: 1314.9535, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1314.9535, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8483, kappa: 0.8422, kb_relative_information_score: 190.4482, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8957, predictive_accuracy: 0.8578, prior_entropy: 3.8572, recall: 0.8578, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.5044, scimark_benchmark: 1353.1316, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1357.483, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0257, kb_relative_information_score: 1.5735, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.0144, predictive_accuracy: 0.12, prior_entropy: 3.8572, recall: 0.12, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2188, root_relative_squared_error: 1.0016, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9271, kappa: 0.9212, kb_relative_information_score: 204.1788, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9319, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.3384, scimark_benchmark: 936.7184, usercpu_time_millis: 1160, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8588, kappa: 0.8663, kb_relative_information_score: 171.1653, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8771, predictive_accuracy: 0.88, prior_entropy: 3.8572, recall: 0.88, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.52, scimark_benchmark: 1342.1678, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 918.0213, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9212, kappa: 0.9117, kb_relative_information_score: 205.971, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9357, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.3786, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 1328.1857, usercpu_time_millis: 16400, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 15120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 1333.9912, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 1348.1311, usercpu_time_millis: 430, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1341.334, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1345.0202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 940.3347, usercpu_time_millis: 510, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 1356.4396, usercpu_time_millis: 16510, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 15220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1332.3382, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 942.3809, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 928.8135, usercpu_time_millis: 560, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 946.6409, usercpu_time_millis: 9940, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 9600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.2681, kappa: 0.3078, kb_relative_information_score: 69.676, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.2363, predictive_accuracy: 0.3822, prior_entropy: 3.8572, recall: 0.3822, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.9229, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 926.4745, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 926.6704, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9212, kappa: 0.9117, kb_relative_information_score: 205.971, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9357, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.3786, scimark_benchmark: 1335.974, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1354.5533, usercpu_time_millis: 400, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.5362, kappa: 0.5518, kb_relative_information_score: 100.947, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6077, predictive_accuracy: 0.6, prior_entropy: 3.8572, recall: 0.6, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.188, root_relative_squared_error: 0.8604, scimark_benchmark: 838.1477, usercpu_time_millis: 990, usercpu_time_millis_testing: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1310.3168, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 1364.991, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1317.5857, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1327.3335, usercpu_time_millis: 410, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 1345.6844, usercpu_time_millis: 1070, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1346.4374, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 946.9304, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 945.0194, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 945.6228, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 901.4991, usercpu_time_millis: 470, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.932, kappa: 0.9261, kb_relative_information_score: 206.452, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9362, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.3156, scimark_benchmark: 938.4601, usercpu_time_millis: 20220, usercpu_time_millis_testing: 8090, usercpu_time_millis_training: 12130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 943.1009, usercpu_time_millis: 580, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 943.1009, usercpu_time_millis: 10780, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 10400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 941.3847, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9212, kappa: 0.9117, kb_relative_information_score: 205.971, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9357, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.3786, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 730.6551, usercpu_time_millis: 780, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 941.6675, usercpu_time_millis: 460, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 936.2574, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 851.2074, usercpu_time_millis: 1450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1306.9281, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1310.6554, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1316.5668, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1340.9749, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9212, kappa: 0.9117, kb_relative_information_score: 205.971, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9357, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.3786, scimark_benchmark: 1350.2591, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1326.2019, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 1337.3324, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1313.5633, usercpu_time_millis: 410, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1337.1928, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,

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