OpenML
Supervised Classification on auto93

Supervised Classification on auto93

Task 3725 Supervised Classification auto93 512 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

512 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 1417.3093, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8241, kappa: 0.6206, kb_relative_information_score: 49.028, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7283, scimark_benchmark: 1322.3407, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1316.6741, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1346.1568, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 50.365, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.817, scimark_benchmark: 1350.4825, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 66.4113, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.639, scimark_benchmark: 1338.5214, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 50.365, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.817, scimark_benchmark: 1339.3082, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1329.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1367.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6581, kappa: 0.2649, kb_relative_information_score: 16.9929, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6833, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9906, scimark_benchmark: 1318.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 66.4113, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.639, scimark_benchmark: 1292.514, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1325.6322, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 50.365, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.817, scimark_benchmark: 1260.1387, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 1397.3209, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8256, kappa: 0.625, kb_relative_information_score: 57.7206, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8266, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7367, scimark_benchmark: 1278.9821, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 1325.7014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1281.7531, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8241, kappa: 0.6206, kb_relative_information_score: 49.028, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7283, scimark_benchmark: 1341.5795, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6581, kappa: 0.2649, kb_relative_information_score: 16.9929, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6833, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9906, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8495, kappa: 0.6793, kb_relative_information_score: 60.3881, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8495, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.727, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7563, kappa: 0.4743, kb_relative_information_score: 28.8892, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7898, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7975, scimark_benchmark: 1331.8954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 66.4113, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.639, scimark_benchmark: 1315.933, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1311.9814, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 50.365, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.817, scimark_benchmark: 1342.1678, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 50.365, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.817, scimark_benchmark: 916.5769, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7053, kappa: 0.3663, kb_relative_information_score: 19.7765, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7417, predictive_accuracy: 0.7312, prior_entropy: 0.9573, recall: 0.7312, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9482, scimark_benchmark: 1347.388, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 883.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 1111.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 55.6567, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8212, scimark_benchmark: 944.0517, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8716, kappa: 0.7282, kb_relative_information_score: 59.9753, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8731, predictive_accuracy: 0.871, prior_entropy: 0.9573, recall: 0.871, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.687, scimark_benchmark: 912.5006, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6775, kappa: 0.3034, kb_relative_information_score: 18.4372, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6927, predictive_accuracy: 0.6989, prior_entropy: 0.9573, recall: 0.6989, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9696, scimark_benchmark: 934.4732, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.6321, kappa: 0.2123, kb_relative_information_score: 18.6912, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6304, predictive_accuracy: 0.6344, prior_entropy: 0.9573, recall: 0.6344, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6046, root_relative_squared_error: 1.248, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7883, kappa: 0.571, kb_relative_information_score: 41.5663, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8177, predictive_accuracy: 0.7849, prior_entropy: 0.9573, recall: 0.7849, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7727, scimark_benchmark: 1322.7383, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.4791, kb_relative_information_score: -0.2139, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0009, scimark_benchmark: 1316.7714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.7728, kappa: 0.5085, kb_relative_information_score: 49.2147, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.792, predictive_accuracy: 0.7849, prior_entropy: 0.9573, recall: 0.7849, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9572, scimark_benchmark: 1449.4352, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.6226, kappa: 0.184, kb_relative_information_score: 11.9074, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6269, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9824, scimark_benchmark: 1327.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7702, kappa: 0.5049, kb_relative_information_score: 37.4415, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.771, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9148, scimark_benchmark: 1337.3264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.7466, kappa: 0.4526, kb_relative_information_score: 29.0486, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7724, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7989, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7369, kappa: 0.4313, kb_relative_information_score: 27.2521, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7564, predictive_accuracy: 0.7527, prior_entropy: 0.9573, recall: 0.7527, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8222, scimark_benchmark: 1308.3432, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8588, kappa: 0.6971, kb_relative_information_score: 62.7443, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8594, predictive_accuracy: 0.8602, prior_entropy: 0.9573, recall: 0.8602, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7089, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.6482, kappa: 0.2412, kb_relative_information_score: 22.1045, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6461, predictive_accuracy: 0.6559, prior_entropy: 0.9573, recall: 0.6559, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1802, scimark_benchmark: 1341.4524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.6482, kappa: 0.2412, kb_relative_information_score: 22.1045, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6461, predictive_accuracy: 0.6559, prior_entropy: 0.9573, recall: 0.6559, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1802, scimark_benchmark: 1312.5307, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 55.7555, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8825, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8052, kappa: 0.583, kb_relative_information_score: 35.6194, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8048, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7514, scimark_benchmark: 1313.9606, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7647, kappa: 0.5017, kb_relative_information_score: 44.7254, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7666, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0008, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7735, kappa: 0.5162, kb_relative_information_score: 34.248, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.773, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8234, scimark_benchmark: 1352.1951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7443, kappa: 0.4624, kb_relative_information_score: 37.4974, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7494, predictive_accuracy: 0.7419, prior_entropy: 0.9573, recall: 0.7419, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9856, scimark_benchmark: 915.6729, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.8093, kappa: 0.618, kb_relative_information_score: 40.3583, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8488, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7672, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7766, kappa: 0.5322, kb_relative_information_score: 43.317, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7836, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8655, scimark_benchmark: 1353.1316, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 50.365, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.817, scimark_benchmark: 1342.2905, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.788, kappa: 0.5617, kb_relative_information_score: 48.8238, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8026, predictive_accuracy: 0.7849, prior_entropy: 0.9573, recall: 0.7849, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9401, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7984, kappa: 0.5814, kb_relative_information_score: 48.6039, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8101, predictive_accuracy: 0.7957, prior_entropy: 0.9573, recall: 0.7957, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.941, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8358, kappa: 0.6464, kb_relative_information_score: 59.386, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8383, predictive_accuracy: 0.8387, prior_entropy: 0.9573, recall: 0.8387, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7794, scimark_benchmark: 925.4974, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.8002, kappa: 0.5681, kb_relative_information_score: 52.5663, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8075, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8977, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.8002, kappa: 0.5681, kb_relative_information_score: 53.5752, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8075, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9081, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.6989, kappa: 0.3586, kb_relative_information_score: 26.7076, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6989, predictive_accuracy: 0.6989, prior_entropy: 0.9573, recall: 0.6989, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9594, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.6989, kappa: 0.3586, kb_relative_information_score: 26.7076, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6989, predictive_accuracy: 0.6989, prior_entropy: 0.9573, recall: 0.6989, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9594, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7193, kappa: 0.3955, kb_relative_information_score: -0.5633, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7522, predictive_accuracy: 0.7419, prior_entropy: 0.9573, recall: 0.7419, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9757, scimark_benchmark: 1321.6263,

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