Task
Supervised Classification on auto_price

Supervised Classification on auto_price

Task 3611 Supervised Classification auto_price 522 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

522 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.023, build_memory: 143856970.6164, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 138.294, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3635, scimark_benchmark: 945.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0235, build_memory: 178388837.7862, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 138.294, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3635, scimark_benchmark: 895.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0338, build_memory: 1273005919.9497, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 138.4201, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3546, scimark_benchmark: 905.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 136.9909, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3447, scimark_benchmark: 1347.5461, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 136.9909, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3447, scimark_benchmark: 1337.4384, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1324.2313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1280.9535, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 144.3016, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3132, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0919, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3627, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 128.4989, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4504, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 136.9909, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3447, scimark_benchmark: 1343.3311, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0919, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3627, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0919, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3627, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0919, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3627, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 128.4989, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4504, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.6471, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.3175, scimark_benchmark: 1340.9446, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0919, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3627, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 136.9909, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3447, scimark_benchmark: 1338.5214, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 128.4989, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4504, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 137.0224, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4407, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 141.7907, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3073, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0919, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3627, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 134.2828, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4345, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 129.1561, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4928, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.3816, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -0.3177, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -0.3177, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9557, kappa: 0.9005, kb_relative_information_score: 133.2248, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8911, kappa: 0.7539, kb_relative_information_score: 122.137, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8931, predictive_accuracy: 0.8931, prior_entropy: 0.9264, recall: 0.8931, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9435, kappa: 0.8744, kb_relative_information_score: 136.9185, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 135.6504, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4559, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 136.3503, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4738, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 141.7907, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3073, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9295, kappa: 0.8408, kb_relative_information_score: 131.0847, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9325, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9111, kappa: 0.8001, kb_relative_information_score: 123.2741, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9115, predictive_accuracy: 0.912, prior_entropy: 0.9264, recall: 0.912, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 138.3377, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.873, kappa: 0.7144, kb_relative_information_score: 112.2027, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.873, predictive_accuracy: 0.8742, prior_entropy: 0.9264, recall: 0.8742, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.4431, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4627, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 136.9909, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3447, scimark_benchmark: 943.8235, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.6471, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.3175, scimark_benchmark: 927.2917, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.7358, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 128.4989, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4504, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 143.0561, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9489, kappa: 0.8847, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9513, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 145.0508, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 141.7907, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 135.585, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9368, kappa: 0.8585, kb_relative_information_score: 135.4395, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 136.8324, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 144.1208, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3515, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 144.3016, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3132, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.9059, kappa: 0.7906, kb_relative_information_score: 123.8211, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 0.9264, recall: 0.9057, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6486, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, usercpu_time_millis: 0.661, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, usercpu_time_millis: 0.663, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9303, kappa: 0.8437, kb_relative_information_score: 133.1158, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9306, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5554, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9557, kappa: 0.9005, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, usercpu_time_millis: 37.124, usercpu_time_millis_testing: 2.196, usercpu_time_millis_training: 34.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, usercpu_time_millis: 2.318, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 1.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.9307, kappa: 0.8451, kb_relative_information_score: 133.1158, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9306, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5554, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9492, kappa: 0.8858, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9501, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736, usercpu_time_millis: 0.347, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.3816, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3349, usercpu_time_millis: 6.136, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 4.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9557, kappa: 0.9005, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, usercpu_time_millis: 5.665, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 5.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, usercpu_time_millis: 1.06, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9617, kappa: 0.9135, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9643, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, usercpu_time_millis: 0.249, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.9059, kappa: 0.7906, kb_relative_information_score: 123.8211, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 0.9264, recall: 0.9057, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6486, usercpu_time_millis: 0.764, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.912, kappa: 0.8037, kb_relative_information_score: 126.1448, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9264, recall: 0.912, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6266, usercpu_time_millis: 0.274, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.5764, kappa: 0.0828, kb_relative_information_score: 40.1687, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7177, predictive_accuracy: 0.6792, prior_entropy: 0.9264, recall: 0.6792, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1959, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9376, kappa: 0.8623, kb_relative_information_score: 135.4395, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9394, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5295, usercpu_time_millis: 5.338, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 5.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, usercpu_time_millis: 1.119, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, usercpu_time_millis: 3.343, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736, usercpu_time_millis: 390.696, usercpu_time_millis_testing: 7.48, usercpu_time_millis_training: 383.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5971, kappa: 0.1161, kb_relative_information_score: 42.4924, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7052, predictive_accuracy: 0.6855, prior_entropy: 0.9264, recall: 0.6855, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5608, root_relative_squared_error: 1.1841, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, usercpu_time_millis: 2.519, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 2.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5253, kb_relative_information_score: 33.1976, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2306, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.384,

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