Task
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: 0.6009, build_cpu_time: 0.1331, build_memory: 1048566049.6, f_measure: 0.6629, kappa: 0.2266, kb_relative_information_score: 24.396, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7012, predictive_accuracy: 0.7094, prior_entropy: 0.9204, recall: 0.7094, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.98, scimark_benchmark: 944.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, build_cpu_time: 0.0579, build_memory: 1349178735.2, f_measure: 0.6629, kappa: 0.2266, kb_relative_information_score: 25.5895, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7012, predictive_accuracy: 0.7094, prior_entropy: 0.9204, recall: 0.7094, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9774, scimark_benchmark: 896.6249,
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: 0.5768, 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: 0.5779, 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: 0.4558, 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: 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: -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: 0.5768, 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: 0.6139, 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: -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: 0.4853, 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: -4.8081, 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: 0.5779, 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: 0.6139, 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: 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: 0.6259, 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: -4.2633, 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: -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: 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: 0.4558, 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: 0.4558, 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: 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: 0.4558, 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: 0.4853, 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: 936.4883,
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: 0.4558, 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: 0.5853, 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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6554, kappa: 0.2065, kb_relative_information_score: 25.546, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6772, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9694,
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: 1850.8887,
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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1048, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, 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: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.6217, kappa: 0.1327, kb_relative_information_score: 74.9475, mean_absolute_error: 0.325, 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: 0.7296, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.6288, kappa: 0.142, kb_relative_information_score: 15.1873, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6299, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.532, kb_relative_information_score: 3.7672, mean_absolute_error: 0.4315, 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: 0.9687, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938,
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: 905.2959,
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: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 942.2392,
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: 938.191,
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: 904.6764, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, 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: 931.4089,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Fold #10 not defined by task.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
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: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6605, kappa: 0.2204, kb_relative_information_score: 98.4763, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.695, predictive_accuracy: 0.7063, prior_entropy: 0.9204, recall: 0.7063, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.542, root_relative_squared_error: 1.1488, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.5914, kappa: 0.0882, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, usercpu_time_millis: 14.678, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 13.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.5961, kappa: 0.0783, kb_relative_information_score: 63.1831, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6112, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.2371, usercpu_time_millis: 1.941, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.6171, kappa: 0.1209, kb_relative_information_score: 70.2418, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6317, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.22, usercpu_time_millis: 0.383, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.6506, kappa: 0.2012, kb_relative_information_score: 96.1234, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.694, predictive_accuracy: 0.7031, prior_entropy: 0.9204, recall: 0.7031, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1549, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.6663, kappa: 0.2293, kb_relative_information_score: 93.7706, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6805, predictive_accuracy: 0.7, prior_entropy: 0.9204, recall: 0.7, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.161, usercpu_time_millis: 14.18, usercpu_time_millis_testing: 3.894, usercpu_time_millis_training: 10.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.6123, kappa: 0.1192, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6485, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, usercpu_time_millis: 12.925, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 12.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.6523, kappa: 0.1976, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6496, 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, usercpu_time_millis: 2.441, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 1.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, 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: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, usercpu_time_millis: 2.675, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.6332, kappa: 0.1629, kb_relative_information_score: 86.7119, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.672, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.179, usercpu_time_millis: 65.871, usercpu_time_millis_testing: 4.152, usercpu_time_millis_training: 61.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.6628, kappa: 0.2247, kb_relative_information_score: 98.4763, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6935, predictive_accuracy: 0.7063, prior_entropy: 0.9204, recall: 0.7063, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.542, root_relative_squared_error: 1.1488, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.6382, kappa: 0.1737, kb_relative_information_score: 89.0648, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6773, predictive_accuracy: 0.6938, prior_entropy: 0.9204, recall: 0.6938, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.173, usercpu_time_millis: 2.442, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.6508, kappa: 0.1995, kb_relative_information_score: 93.7706, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6857, predictive_accuracy: 0.7, prior_entropy: 0.9204, recall: 0.7, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.161, usercpu_time_millis: 3.94, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.6294, kappa: 0.1456, 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, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.118,
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, usercpu_time_millis: 15.109, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 12.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.6435, kappa: 0.1828, kb_relative_information_score: 89.0648, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6748, predictive_accuracy: 0.6938, prior_entropy: 0.9204, recall: 0.6938, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.173, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, 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: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5361, kappa: -0.0001, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, 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: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, usercpu_time_millis: 1.371, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, 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: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, usercpu_time_millis: 1.778, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.5968, kappa: 0.0926, kb_relative_information_score: 74.9475, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.644, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.2084, usercpu_time_millis: 29.746, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 29.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.6378, kappa: 0.1752, kb_relative_information_score: 91.4177, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6863, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.167, usercpu_time_millis: 0.348, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.6015, kappa: 0.097, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.635, 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, usercpu_time_millis: 17.285, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 16.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5515, kappa: 0.018, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5938, 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, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6401, kappa: 0.1814, kb_relative_information_score: 93.7706, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6941, predictive_accuracy: 0.7, prior_entropy: 0.9204, recall: 0.7, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.161, usercpu_time_millis: 0.49, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 86.7119, mean_absolute_error: 0.3094, 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: 0.6945, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.179, usercpu_time_millis: 5.383, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 5.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.6411, kappa: 0.1723, kb_relative_information_score: 79.6533, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6534, 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, usercpu_time_millis: 368.355, usercpu_time_millis_testing: 7.219, usercpu_time_millis_training: 361.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, 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: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 86.7119, mean_absolute_error: 0.3094, 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: 0.6945, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.179, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.6469, kappa: 0.1839, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6513, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.5533, kappa: 0.037, kb_relative_information_score: 71.2734, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7816, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, 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: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.5345, kappa: -0.0062, kb_relative_information_score: 3.6033, mean_absolute_error: 0.4396, 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: 0.9868, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.624, kappa: 0.1387, kb_relative_information_score: 26.8698, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6474, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9795,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.5392, kappa: 0.0124, kb_relative_information_score: -0.9575, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7788, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.532, kb_relative_information_score: 0.5314, mean_absolute_error: 0.4396, 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: 0.9868, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9918,
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,
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: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.559, kappa: 0.0236, kb_relative_information_score: 2.5993, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5892, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0115, scimark_benchmark: 968.4438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 935.2923, 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: 968.5641, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 8.8482, mean_absolute_error: 0.427, 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: 0.9586, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0115, scimark_benchmark: 1306.9957, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.6219, kappa: 0.1262, kb_relative_information_score: 9.5111, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6215, predictive_accuracy: 0.6563, prior_entropy: 0.9204, recall: 0.6563, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5447, kappa: 0.0185, kb_relative_information_score: 70.2418, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6681, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.22, scimark_benchmark: 1542.7682, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.6336, kappa: 0.1535, kb_relative_information_score: 14.732, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6374, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0163, scimark_benchmark: 1273.2625, usercpu_time_millis: 40, usercpu_time_millis_testing: 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: 1130.9881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1515.524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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