Task
Supervised Classification on aids

Supervised Classification on aids

Task 3503 Supervised Classification aids 498 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

498 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, build_cpu_time: 0.0029, build_memory: 757168448, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 3.2382, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.0221, scimark_benchmark: 932.1063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 1347.5461, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1364.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 2.0139, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0296, scimark_benchmark: 1405.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 2.0139, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0296, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 1325.7874, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 2.0139, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0296, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 879.4299, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.5989, kappa: 0.28, kb_relative_information_score: 9.0814, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7371, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9495, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.7126, kappa: 0.44, kb_relative_information_score: 6.1752, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7451, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 2.4861, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6588, kappa: 0.32, kb_relative_information_score: 8.2506, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6623, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.5536, kappa: 0.12, kb_relative_information_score: 6, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5637, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3267, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6588, kappa: 0.32, kb_relative_information_score: 8.2506, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6623, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 10.6263, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.0718, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 15.5036, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1419, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.5824, kappa: 0.24, kb_relative_information_score: 9.0699, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6875, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9528, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6264, kappa: 0.32, kb_relative_information_score: 16, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.75, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1662, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.5226, kappa: 0.12, kb_relative_information_score: -0.4044, mean_absolute_error: 0.5079, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5874, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 13.954, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0243, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3208, f_measure: 0.4253, kappa: -0.12, kb_relative_information_score: -7.5558, mean_absolute_error: 0.568, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4332, predictive_accuracy: 0.44, prior_entropy: 1, recall: 0.44, relative_absolute_error: 1.136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6187, root_relative_squared_error: 1.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 927.2917, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4472, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 10.1939, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4376, f_measure: 0.4792, kappa: -0.04, kb_relative_information_score: -2.2567, mean_absolute_error: 0.519, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4799, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5687, root_relative_squared_error: 1.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.22, f_measure: 0.2172, kappa: -0.56, kb_relative_information_score: -28, mean_absolute_error: 0.78, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2159, predictive_accuracy: 0.22, prior_entropy: 1, recall: 0.22, relative_absolute_error: 1.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8832, root_relative_squared_error: 1.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.5925, kappa: 0.24, kb_relative_information_score: 8.7863, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6645, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 8.8458, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.3559, kappa: -0.28, kb_relative_information_score: -4.0183, mean_absolute_error: 0.5325, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3563, predictive_accuracy: 0.36, prior_entropy: 1, recall: 0.36, relative_absolute_error: 1.065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5773, root_relative_squared_error: 1.1546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 936.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.6779, kappa: 0.36, kb_relative_information_score: 16.0805, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6847, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9621, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 13.5507, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.5226, kappa: 0.12, kb_relative_information_score: -0.4044, mean_absolute_error: 0.5079, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5874, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.0824, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, f_measure: 0.3929, kb_relative_information_score: -0.7456, mean_absolute_error: 0.506, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0263, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 12.6245, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 13.5507, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6588, kappa: 0.32, kb_relative_information_score: 8.2506, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6623, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.618, kappa: 0.28, kb_relative_information_score: 5.0777, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6819, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.6604, kappa: 0.36, kb_relative_information_score: 6.4325, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7339, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.465, root_relative_squared_error: 0.93, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3744, f_measure: 0.3633, kappa: -0.2, kb_relative_information_score: -9.1412, mean_absolute_error: 0.5919, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3701, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.1837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7176, root_relative_squared_error: 1.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4128, f_measure: 0.4792, kappa: 0.04, kb_relative_information_score: -1.5753, mean_absolute_error: 0.5187, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5291, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 1.0375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4424, f_measure: 0.5226, kappa: 0.12, kb_relative_information_score: 0.4399, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5874, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.5824, kappa: 0.24, kb_relative_information_score: 5.9402, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6875, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9747, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.6847, kappa: 0.4, kb_relative_information_score: 12.9813, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.748, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9249, scimark_benchmark: 801.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.4598, kappa: -0.08, kb_relative_information_score: 0.0795, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4599, predictive_accuracy: 0.46, prior_entropy: 1, recall: 0.46, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.26, f_measure: 0.2597, kappa: -0.48, kb_relative_information_score: -24, mean_absolute_error: 0.74, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2596, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8602, root_relative_squared_error: 1.7205, scimark_benchmark: 1455.5282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.5994, kappa: 0.2, kb_relative_information_score: 7.1917, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6006, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.091, scimark_benchmark: 1030.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.6486, kappa: 0.32, kb_relative_information_score: 6.4851, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6838, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9336, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 934.695, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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