OpenML
Supervised Classification on pc1_req

Supervised Classification on pc1_req

Task 4001 Supervised Classification pc1_req 494 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_107 study_15 study_20 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

494 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1317.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1295.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1332.9478, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6274, kappa: 0.1534, kb_relative_information_score: 22.9756, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6754, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.976, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 1286.2211, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.6406, kappa: 0.1798, kb_relative_information_score: 19.6836, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6842, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9754, scimark_benchmark: 1374.9737, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 20.2337, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9855, scimark_benchmark: 1247.7354, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1316.6741, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6274, kappa: 0.1534, kb_relative_information_score: 22.9756, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6754, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.976, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 1347.3402, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1354.5533, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.3498, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0161, scimark_benchmark: 1331.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 1314.2279, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1330.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1292.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1308.6872, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1351.5471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1371.174, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1360.6367, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1316.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 1322.806, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1366.5484, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1322.7257, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 1281.7531, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1278.6629, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 20.2337, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9855, scimark_benchmark: 938.0414, usercpu_time_millis: 610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1352.1128, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: 6.0345, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9882, scimark_benchmark: 1328.1857, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1345.3152, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6459, kappa: 0.1841, kb_relative_information_score: 27.5647, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6627, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0015, scimark_benchmark: 1350.073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5463, kappa: 0.0247, kb_relative_information_score: 19.9177, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7802, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.012, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 909.1698, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5345, kappa: -0.0062, kb_relative_information_score: 5.1813, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5259, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9906, scimark_benchmark: 1309.4998, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.6125, kappa: 0.1092, kb_relative_information_score: 22.7056, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6223, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.061, scimark_benchmark: 1365.1392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 1331.2332, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.5706, kappa: 0.0221, kb_relative_information_score: 47.0516, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5715, predictive_accuracy: 0.6406, prior_entropy: 0.9204, recall: 0.6406, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.2474, scimark_benchmark: 937.6212, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.6094, kappa: 0.1053, kb_relative_information_score: 13.7488, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6251, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.004, scimark_benchmark: 885.0921, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: 5.414, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9894, scimark_benchmark: 1349.9917, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.6454, kappa: 0.1811, kb_relative_information_score: 23.5871, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6541, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0151, scimark_benchmark: 1308.3432, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.9565, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0138, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.5361, kappa: -0.0001, kb_relative_information_score: 1.9599, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5545, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9947, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.6406, kappa: 0.1798, kb_relative_information_score: 20.3887, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6842, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9778, scimark_benchmark: 1307.3764, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1322.4968, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.6318, kappa: 0.1515, kb_relative_information_score: 20.0248, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6436, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.006, scimark_benchmark: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.6109, kappa: 0.1121, kb_relative_information_score: 12.187, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6355, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9842, scimark_benchmark: 1360.1753, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.6336, kappa: 0.1615, kb_relative_information_score: 84.359, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6645, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1849, scimark_benchmark: 1317.1597, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 24.2285, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6707, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9737, scimark_benchmark: 1348.8637, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.5931, kappa: 0.0874, kb_relative_information_score: 6.1397, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6452, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9947, scimark_benchmark: 1328.8457, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: 19.1709, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.477, root_relative_squared_error: 1.011, scimark_benchmark: 1296.8947, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5697, f_measure: 0.6346, kappa: 0.1554, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6333, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.6365, kappa: 0.1633, kb_relative_information_score: 79.6533, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5646, root_relative_squared_error: 1.1967, scimark_benchmark: 1088.605, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.1842, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0002, scimark_benchmark: 1313.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5918, kappa: 0.0738, kb_relative_information_score: 7.8912, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6143, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0071, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1305.7138, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6217, kappa: 0.1327, kb_relative_information_score: 21.3092, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.642, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9844, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 16.248, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9841, scimark_benchmark: 909.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.6406, kappa: 0.1798, kb_relative_information_score: 19.363, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6842, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9778, scimark_benchmark: 1314.9535, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.6355, kappa: 0.169, kb_relative_information_score: 19.0282, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.679, predictive_accuracy: 0.6938, prior_entropy: 0.9204, recall: 0.6938, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9777, scimark_benchmark: 937.6212, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.6318, kappa: 0.1515, kb_relative_information_score: 20.0248, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6436, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.006, scimark_benchmark: 1333.6918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.6341, kappa: 0.1587, kb_relative_information_score: 19.1709, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6528, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0007, scimark_benchmark: 1316.7154, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5652, kappa: 0.1244, kb_relative_information_score: -25.2993, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6199, predictive_accuracy: 0.5531, prior_entropy: 0.9204, recall: 0.5531, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.06, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.5623, kappa: 0.079, kb_relative_information_score: -18.2049, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5928, predictive_accuracy: 0.55, prior_entropy: 0.9204, recall: 0.55, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0445, scimark_benchmark: 1301.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.6113, kappa: 0.1203, kb_relative_information_score: 79.6533, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.657, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5646, root_relative_squared_error: 1.1967, scimark_benchmark: 1334.8495, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 24.2425, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6707, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9738, scimark_benchmark: 1315.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.532, kb_relative_information_score: 0.9135, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0002, scimark_benchmark: 1334.8272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 1373.2982, 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