Task
Supervised Classification on analcatdata_dmft

Supervised Classification on analcatdata_dmft

Task 3877 Supervised Classification analcatdata_dmft 559 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

559 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7113, kappa: -0.0288, kb_relative_information_score: -147.0658, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6465, predictive_accuracy: 0.7905, prior_entropy: 0.7123, recall: 0.7905, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.7149, kappa: -0.0158, kb_relative_information_score: -147.9573, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6704, predictive_accuracy: 0.7892, prior_entropy: 0.7123, recall: 0.7892, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.7188, kb_relative_information_score: -92.9825, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, f_measure: 0.7188, kb_relative_information_score: -84.7991, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.7181, kappa: -0.0025, kb_relative_information_score: -113.5892, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6487, predictive_accuracy: 0.8043, prior_entropy: 0.7123, recall: 0.8043, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.7188, kb_relative_information_score: -72.7956, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3973, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.7125, kappa: -0.0241, kb_relative_information_score: -134.3817, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6469, predictive_accuracy: 0.793, prior_entropy: 0.7123, recall: 0.793, relative_absolute_error: 1.0283, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: -1.4695, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: -20.6943, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: -1.4695, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.7119, kappa: -0.0265, kb_relative_information_score: -107.6877, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6467, predictive_accuracy: 0.7917, prior_entropy: 0.7123, recall: 0.7917, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.7113, kappa: -0.0288, kb_relative_information_score: -106.4991, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6465, predictive_accuracy: 0.7905, prior_entropy: 0.7123, recall: 0.7905, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.0344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9118, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.7188, kb_relative_information_score: -76.3388, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.7188, kb_relative_information_score: -73.5759, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.399, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.7188, kb_relative_information_score: -76.3388, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4582, f_measure: 0.6912, kappa: -0.0785, kb_relative_information_score: -202.4633, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6554, predictive_accuracy: 0.7365, prior_entropy: 0.7123, recall: 0.7365, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4499, root_relative_squared_error: 1.1367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, f_measure: 0.7188, kb_relative_information_score: -93.7729, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.7188, kb_relative_information_score: -76.3388, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.7188, kb_relative_information_score: -76.3388, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.7188, kb_relative_information_score: -6.8071, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.6949, kappa: -0.0603, kb_relative_information_score: -218.1383, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6638, predictive_accuracy: 0.7353, prior_entropy: 0.7123, recall: 0.7353, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4552, root_relative_squared_error: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4491, f_measure: 0.6728, kappa: -0.0965, kb_relative_information_score: -229.1925, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6553, predictive_accuracy: 0.6926, prior_entropy: 0.7123, recall: 0.6926, relative_absolute_error: 1.0658, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.484, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.7182, kappa: -0.0033, kb_relative_information_score: -73.6562, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6839, predictive_accuracy: 0.788, prior_entropy: 0.7123, recall: 0.788, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.0453, scimark_benchmark: 1922.3298, usercpu_time_millis: 3765.625, usercpu_time_millis_training: 3765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1461.2356, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1461.2356, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.7188, kb_relative_information_score: -102.6209, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4017, root_relative_squared_error: 1.015, scimark_benchmark: 1862.8608, usercpu_time_millis: 3171.875, usercpu_time_millis_training: 3171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.7188, kb_relative_information_score: -102.6209, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4017, root_relative_squared_error: 1.015, scimark_benchmark: 1787.9841, usercpu_time_millis: 3750, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.7188, kb_relative_information_score: -102.6209, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4017, root_relative_squared_error: 1.015, scimark_benchmark: 1378.8485, usercpu_time_millis: 4000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1589.266, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1338.3884, usercpu_time_millis: 210, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1368.4098, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1513.1975, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.7182, kappa: -0.0033, kb_relative_information_score: -73.6767, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6839, predictive_accuracy: 0.788, prior_entropy: 0.7123, recall: 0.788, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.0453, scimark_benchmark: 1665.974, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.6927, kappa: -0.075, kb_relative_information_score: -188.8731, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6563, predictive_accuracy: 0.739, prior_entropy: 0.7123, recall: 0.739, relative_absolute_error: 1.0341, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.1389, scimark_benchmark: 1367.4639, usercpu_time_millis: 2330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.7125, kappa: -0.0241, kb_relative_information_score: 176.768, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6469, predictive_accuracy: 0.793, prior_entropy: 0.7123, recall: 0.793, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.455, root_relative_squared_error: 1.1496, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, usercpu_time_millis: 17.32, usercpu_time_millis_testing: 5.04, usercpu_time_millis_training: 12.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, usercpu_time_millis: 128.88, usercpu_time_millis_testing: 61.63, usercpu_time_millis_training: 67.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, usercpu_time_millis: 37.82, usercpu_time_millis_testing: 8.92, usercpu_time_millis_training: 28.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.7188, kb_relative_information_score: -76.3388, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.006, scimark_benchmark: 1286.7522, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1477.233, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.7188, kb_relative_information_score: -95.6605, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4008, root_relative_squared_error: 1.0125, scimark_benchmark: 1238.0975, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.7188, kb_relative_information_score: -72.2585, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0059, scimark_benchmark: 1387.3723, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4634, f_measure: 0.687, kappa: -0.0715, kb_relative_information_score: -200.75, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6619, predictive_accuracy: 0.7177, prior_entropy: 0.7123, recall: 0.7177, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4628, root_relative_squared_error: 1.1693, scimark_benchmark: 1373.8949, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.7188, kb_relative_information_score: -63.759, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.002, scimark_benchmark: 1290.8298, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.7169, kappa: -0.0074, kb_relative_information_score: -4.5434, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6483, predictive_accuracy: 0.8018, prior_entropy: 0.7123, recall: 0.8018, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.397, root_relative_squared_error: 1.0031, scimark_benchmark: 884.8116, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.7175, kappa: -0.005, kb_relative_information_score: -14.9903, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6485, predictive_accuracy: 0.803, prior_entropy: 0.7123, recall: 0.803, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3983, root_relative_squared_error: 1.0062, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4559, f_measure: 0.6942, kappa: -0.0651, kb_relative_information_score: -202.7528, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6615, predictive_accuracy: 0.7365, prior_entropy: 0.7123, recall: 0.7365, relative_absolute_error: 1.0443, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.1356, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: -1.4695, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.7188, kb_relative_information_score: -76.3388, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.006, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.7188, kb_relative_information_score: -96.6649, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4008, root_relative_squared_error: 1.0126, scimark_benchmark: 1925.3565, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.7188, kb_relative_information_score: -72.2585, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0059, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4634, f_measure: 0.687, kappa: -0.0715, kb_relative_information_score: -200.75, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6619, predictive_accuracy: 0.7177, prior_entropy: 0.7123, recall: 0.7177, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4628, root_relative_squared_error: 1.1693, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.7188, kb_relative_information_score: -63.759, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.002, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.7175, kappa: -0.005, kb_relative_information_score: -14.9903, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6485, predictive_accuracy: 0.803, prior_entropy: 0.7123, recall: 0.803, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3983, root_relative_squared_error: 1.0062, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.6912, kappa: -0.0785, kb_relative_information_score: -203.166, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6554, predictive_accuracy: 0.7365, prior_entropy: 0.7123, recall: 0.7365, relative_absolute_error: 1.0444, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.45, root_relative_squared_error: 1.1371, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: -1.4695, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.7188, kb_relative_information_score: -72.2585, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0059, scimark_benchmark: 1370.9452, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.7188, kb_relative_information_score: -95.0371, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4003, root_relative_squared_error: 1.0114, scimark_benchmark: 1834.908, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.7188, kb_relative_information_score: -63.759, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.002, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.7188, kb_relative_information_score: -63.759, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.002, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, f_measure: 0.7188, kb_relative_information_score: -62.9752, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.0022, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.7169, kappa: -0.0074, kb_relative_information_score: -4.5434, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6483, predictive_accuracy: 0.8018, prior_entropy: 0.7123, recall: 0.8018, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.397, root_relative_squared_error: 1.0031, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.7188, kb_relative_information_score: -75.7701, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0121, scimark_benchmark: 1788.6668, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.7188, kb_relative_information_score: -71.5134, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.0049, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1214.6457, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.7188, kb_relative_information_score: -72.2585, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0059, scimark_benchmark: 944.6872, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 867.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.7169, kappa: -0.0074, kb_relative_information_score: -74.9938, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6483, predictive_accuracy: 0.8018, prior_entropy: 0.7123, recall: 0.8018, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0132, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.7009, kappa: -0.0605, kb_relative_information_score: -135.1012, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6534, predictive_accuracy: 0.7629, prior_entropy: 0.7123, recall: 0.7629, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0722, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.6985, kappa: -0.0485, kb_relative_information_score: -181.36, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6682, predictive_accuracy: 0.739, prior_entropy: 0.7123, recall: 0.739, relative_absolute_error: 1.0279, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4355, root_relative_squared_error: 1.1003, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.7188, kb_relative_information_score: -92.5072, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.0119, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.7125, kappa: -0.0241, kb_relative_information_score: -102.8376, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6469, predictive_accuracy: 0.793, prior_entropy: 0.7123, recall: 0.793, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.0367, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.7113, kappa: -0.0288, kb_relative_information_score: -106.4991, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6465, predictive_accuracy: 0.7905, prior_entropy: 0.7123, recall: 0.7905, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.0344, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4661, f_measure: 0.6896, kappa: -0.0887, kb_relative_information_score: 15.5874, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6495, predictive_accuracy: 0.739, prior_entropy: 0.7123, recall: 0.739, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.2907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.7188, kb_relative_information_score: -9.0502, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0034, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.7175, kappa: -0.005, kb_relative_information_score: -14.9903, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6485, predictive_accuracy: 0.803, prior_entropy: 0.7123, recall: 0.803, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3983, root_relative_squared_error: 1.0062, scimark_benchmark: 1870.7932,

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