OpenML
Supervised Classification on pwLinear

Supervised Classification on pwLinear

Task 3587 Supervised Classification pwLinear 543 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

543 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 81.8749, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7672, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8849, kappa: 0.7696, kb_relative_information_score: 152.9509, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8852, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6818, scimark_benchmark: 945.3151, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8749, kappa: 0.7495, kb_relative_information_score: 149.9548, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8752, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.707, scimark_benchmark: 929.566, usercpu_time_millis: 370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.865, kappa: 0.7298, kb_relative_information_score: 150.8722, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6549, scimark_benchmark: 911.3823, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8484, kappa: 0.6981, kb_relative_information_score: 121.2302, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.861, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7208, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.9839, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7026, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8363, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, scimark_benchmark: 917.1386, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8299, kappa: 0.6595, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, scimark_benchmark: 939.0833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 0.07, build_memory: 700591188.8, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.616, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7143, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 0.0964, build_memory: 1377478595.2, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.616, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7143, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 0.0792, build_memory: 792813783.2, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.616, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7143, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, build_cpu_time: 0.0668, build_memory: 579305456, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.5552, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7161, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 0.0142, build_memory: 375699133.6, f_measure: 0.885, kappa: 0.7699, kb_relative_information_score: 147.8284, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6339, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, build_cpu_time: 0.0176, build_memory: 367151552, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 149.9259, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8751, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6394, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, build_cpu_time: 0.0429, build_memory: 980985246.4, f_measure: 0.88, kappa: 0.7599, kb_relative_information_score: 151.5719, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6347, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, build_cpu_time: 0.0265, build_memory: 82283420.8, f_measure: 0.88, kappa: 0.7599, kb_relative_information_score: 151.3628, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6383, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, build_cpu_time: 0.0347, build_memory: 849938580.8, f_measure: 0.88, kappa: 0.7599, kb_relative_information_score: 151.3628, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6383, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0038, build_memory: 553263824, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0098, build_memory: 21154351.2, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0026, build_memory: 1981458356.8, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0014, build_memory: 1901255820, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0011, build_memory: 1148920339.2, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0594, build_memory: 442391213.6, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0392, build_memory: 640115912.8, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0562, build_memory: 680338692, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0996, build_memory: 2212932446.4, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0841, build_memory: 515497422.4, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 0.0156, build_memory: 591541830.4, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 126.3533, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6803, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 0.0136, build_memory: 862694488.8, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 126.3533, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6803, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, build_cpu_time: 0.0206, build_memory: 257050191.2, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 126.6145, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6778, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.0087, build_memory: 1682176596, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 126.6085, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6451, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, build_cpu_time: 0.004, build_memory: 454368700, f_measure: 0.8446, kappa: 0.6891, kb_relative_information_score: 119.3933, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8464, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, build_cpu_time: 0.0156, build_memory: 806299332.8, f_measure: 0.6848, kappa: 0.3689, kb_relative_information_score: 60.2314, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6849, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9511, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, build_cpu_time: 0.0157, build_memory: 1585791852.8, f_measure: 0.6848, kappa: 0.3689, kb_relative_information_score: 60.2553, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6849, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9509, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, build_cpu_time: 0.0152, build_memory: 280234500.8, f_measure: 0.6848, kappa: 0.3689, kb_relative_information_score: 60.2553, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6849, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9509, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, build_cpu_time: 0.0166, build_memory: 474106983.2, f_measure: 0.6848, kappa: 0.3689, kb_relative_information_score: 60.2553, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6849, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9509, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, build_cpu_time: 0.0191, build_memory: 2997791479.2, f_measure: 0.6848, kappa: 0.3689, kb_relative_information_score: 60.2553, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6849, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9509, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, build_cpu_time: 1.2887, build_memory: 43817091.2, f_measure: 0.8199, kappa: 0.6395, kb_relative_information_score: 129.6234, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9994, recall: 0.82, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7573, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 2.0441, build_memory: 988587111.2, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 135.0387, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8455, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7469, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, build_cpu_time: 3.6404, build_memory: 99607107.2, f_measure: 0.855, kappa: 0.7098, kb_relative_information_score: 139.7492, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8551, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7462, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, build_cpu_time: 17.5154, build_memory: 27968236, f_measure: 0.8699, kappa: 0.7396, kb_relative_information_score: 148.4825, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7122, scimark_benchmark: 919.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, build_cpu_time: 14.4453, build_memory: 1017983558.4, f_measure: 0.88, kappa: 0.7598, kb_relative_information_score: 151.4318, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6944, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, build_cpu_time: 7.0564, build_memory: 2930793852.8, f_measure: 0.875, kappa: 0.7497, kb_relative_information_score: 150.1789, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7017, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 3.527, build_memory: 212228325.6, f_measure: 0.87, kappa: 0.7398, kb_relative_information_score: 147.5572, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7194, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, build_cpu_time: 1.9833, build_memory: 104987461.6, f_measure: 0.87, kappa: 0.7398, kb_relative_information_score: 148.5532, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7051, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, build_cpu_time: 0.1359, build_memory: 462834950.4, f_measure: 0.89, kappa: 0.7798, kb_relative_information_score: 151.8816, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6491, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, build_cpu_time: 0.2353, build_memory: 827401673.6, f_measure: 0.885, kappa: 0.7699, kb_relative_information_score: 152.0817, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6627, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 0.6318, build_memory: 475479100.8, f_measure: 0.865, kappa: 0.7298, kb_relative_information_score: 147.6274, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7028, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, build_cpu_time: 1.0056, build_memory: 1309748068.8, f_measure: 0.8749, kappa: 0.7495, kb_relative_information_score: 150.3465, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8752, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.6994, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 1.8823, build_memory: 873422814.4, f_measure: 0.8799, kappa: 0.7595, kb_relative_information_score: 152.224, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8805, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6857, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 0.0722, build_memory: 124993728.8, f_measure: 0.87, kappa: 0.7399, kb_relative_information_score: 148.2208, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6832, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 0.0879, build_memory: 443621116, f_measure: 0.87, kappa: 0.7399, kb_relative_information_score: 148.2208, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6832, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, build_cpu_time: 0.0618, build_memory: 727422492.8, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 149.3511, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8751, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6723, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, build_cpu_time: 0.0437, build_memory: 687873201.6, f_measure: 0.875, kappa: 0.7497, kb_relative_information_score: 148.2947, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6634, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, build_cpu_time: 0.0169, build_memory: 1591567877.6, f_measure: 0.8698, kappa: 0.7393, kb_relative_information_score: 148.706, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8711, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7002, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, build_cpu_time: 0.0507, build_memory: 301827960.8, f_measure: 0.86, kappa: 0.7199, kb_relative_information_score: 142.4229, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7357, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 0.0617, build_memory: 595522288.8, f_measure: 0.88, kappa: 0.7596, kb_relative_information_score: 151.2582, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6911, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, build_cpu_time: 0.132, build_memory: 820972175.2, f_measure: 0.8849, kappa: 0.7696, kb_relative_information_score: 152.9509, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8852, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6818, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, build_cpu_time: 0.2573, build_memory: 285397365.6, f_measure: 0.8749, kappa: 0.7495, kb_relative_information_score: 149.9548, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8752, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.707, scimark_benchmark: 941.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 0.0168, build_memory: 49346557.6, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 138.3614, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8418, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7098, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 0.011, build_memory: 739578058.4, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 138.3614, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8418, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7098, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, build_cpu_time: 0.0528, build_memory: 208281283.2, f_measure: 0.8449, kappa: 0.6894, kb_relative_information_score: 129.9646, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7079, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, build_cpu_time: 0.6929, build_memory: 743216728, f_measure: 0.885, kappa: 0.7697, kb_relative_information_score: 152.0449, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6833, scimark_benchmark: 939.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, build_cpu_time: 0.3875, build_memory: 1220555073.6, f_measure: 0.875, kappa: 0.7497, kb_relative_information_score: 148.7383, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7049, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, build_cpu_time: 0.1827, build_memory: 1927599293.6, f_measure: 0.865, kappa: 0.7298, kb_relative_information_score: 147.353, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.706, scimark_benchmark: 936.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, build_cpu_time: 0.0795, build_memory: 1298892614.4, f_measure: 0.865, kappa: 0.7298, kb_relative_information_score: 150.8722, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6549, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, build_cpu_time: 0.2062, build_memory: 1132400307.2, f_measure: 0.8484, kappa: 0.6981, kb_relative_information_score: 121.2302, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.861, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7208, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, build_cpu_time: 0.0622, build_memory: 920050992.8, f_measure: 0.89, kappa: 0.7797, kb_relative_information_score: 153.8375, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8901, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6412, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, build_cpu_time: 0.0014, build_memory: 1873357720, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.9839, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7026, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.0378, build_memory: 858268735.2, f_measure: 0.885, kappa: 0.7699, kb_relative_information_score: 123.3177, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.5987, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, build_cpu_time: 0.0043, build_memory: 94298061.6, f_measure: 0.84, kappa: 0.6803, kb_relative_information_score: 121.1699, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8415, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7183, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 0.0002, build_memory: 1092536936, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 138.3614, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8418, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7098, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, build_cpu_time: 0.0187, build_memory: 275047724.8, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8363, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, build_cpu_time: 0.0097, build_memory: 920657212, f_measure: 0.8348, kappa: 0.6692, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8356, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, build_cpu_time: 0.0134, build_memory: 518238088, f_measure: 0.8299, kappa: 0.6595, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 0.0036, build_memory: 109346008.8, f_measure: 0.85, kappa: 0.6997, kb_relative_information_score: 130.7362, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6529, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, build_cpu_time: 0.0008, build_memory: 668349736, f_measure: 0.6897, kappa: 0.3787, kb_relative_information_score: 49.0096, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6899, predictive_accuracy: 0.69, prior_entropy: 0.9994, recall: 0.69, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8743, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 0.0119, build_memory: 578405884, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 124.9567, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6201, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, build_cpu_time: 0.0078, build_memory: 363890501.6, f_measure: 0.8547, kappa: 0.7091, kb_relative_information_score: 120.7062, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8564, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6645, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.0005, build_memory: 524125380.8, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, build_cpu_time: 0.0019, build_memory: 241064681.6, f_measure: 0.8699, kappa: 0.7396, kb_relative_information_score: 138.4069, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6765, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.479, build_cpu_time: 0.0003, build_memory: 1022335278.4, f_measure: 0.3501, kb_relative_information_score: -0.0687, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0002, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 0.1228, build_memory: 169570468.8, f_measure: 0.8449, kappa: 0.6894, kb_relative_information_score: 135.0285, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6986, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 0.0621, build_memory: 793646215.2, f_measure: 0.8446, kappa: 0.6891, kb_relative_information_score: 135.1974, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8464, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7067, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 0.1207, build_memory: 876337272, f_measure: 0.8496, kappa: 0.699, kb_relative_information_score: 135.99, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8519, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6967, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, build_cpu_time: 0.3062, build_memory: 369849068, f_measure: 0.8449, kappa: 0.6894, kb_relative_information_score: 135.0975, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6872, scimark_benchmark: 935.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, build_cpu_time: 0.553, build_memory: 3074095310.4, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 135.0874, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6893, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, build_cpu_time: 1.0394, build_memory: 999645798.4, f_measure: 0.8497, kappa: 0.6992, kb_relative_information_score: 135.2929, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.851, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6832, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.1675, build_memory: 751056685.6, f_measure: 0.8599, kappa: 0.7196, kb_relative_information_score: 122.6197, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6189, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, build_cpu_time: 0.0628, build_memory: 1390244414.4, f_measure: 0.86, kappa: 0.7197, kb_relative_information_score: 122.6008, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6226, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, build_cpu_time: 0.0371, build_memory: 2225482692, f_measure: 0.855, kappa: 0.71, kb_relative_information_score: 121.1902, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8555, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6334, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, build_cpu_time: 0.0207, build_memory: 318058603.2, f_measure: 0.855, kappa: 0.7097, kb_relative_information_score: 123.8923, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6279, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 0.0138, build_memory: 179215988, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 125.4833, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8751, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6194, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.0269, build_memory: 1314117019.2, f_measure: 0.88, kappa: 0.7596, kb_relative_information_score: 126.485, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6005, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 0.0556, build_memory: 2773967127.2, f_measure: 0.89, kappa: 0.7798, kb_relative_information_score: 126.0754, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5888, scimark_benchmark: 941.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, build_cpu_time: 0.0743, build_memory: 434696716, f_measure: 0.89, kappa: 0.7798, kb_relative_information_score: 123.6652, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.5942, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, build_cpu_time: 0.0949, build_memory: 287344223.2, f_measure: 0.89, kappa: 0.7798, kb_relative_information_score: 123.6652, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.5942, scimark_benchmark: 941.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, build_cpu_time: 4.7624, build_memory: 730088695.2, f_measure: 0.8899, kappa: 0.7795, kb_relative_information_score: 118.8473, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.599, scimark_benchmark: 941.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, build_cpu_time: 2.5168, build_memory: 2353143525.6, f_measure: 0.8949, kappa: 0.7896, kb_relative_information_score: 119.1213, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8953, predictive_accuracy: 0.895, prior_entropy: 0.9994, recall: 0.895, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.5991, scimark_benchmark: 914.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 1.2963, build_memory: 446352547.2, f_measure: 0.89, kappa: 0.7799, kb_relative_information_score: 118.0556, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8902, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6048, scimark_benchmark: 914.2677,

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