Task
Supervised Classification on auto93

Supervised Classification on auto93

Task 3725 Supervised Classification auto93 512 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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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: 0.6436, 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: 0.9143, 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: 0.9204, 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: 0.9099, 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: 0.9099, 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: 0.9025, 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: 0.9155, 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: 0.9099, 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: 0.9099, 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: 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: 938.0414,
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: 0.9099, 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: 0.9155, 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: 0.9025, 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: 1313.5633,
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: 0.8665, 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: 1354.5533,
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: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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: 1303.5632,
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: 1339.2472,
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: 908.2231,
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: 1313.8988,
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: 1333.202,
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: 930.5999,
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: 908.2231,
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: 0.9143, 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: 0.9099, 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: 0.9099, 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: 0.5286, 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: 1342.8632, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1346.2927, usercpu_time_millis: 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: 1332.9478, 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: 1309.4998,
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: 1374.9737, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 1350.2591,
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: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.6715, kappa: 0.3107, kb_relative_information_score: 20.1109, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7756, predictive_accuracy: 0.7204, prior_entropy: 0.9573, recall: 0.7204, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9849, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.696, kappa: 0.3451, kb_relative_information_score: 24.1169, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.724, predictive_accuracy: 0.7204, prior_entropy: 0.9573, recall: 0.7204, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.994, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 42.7808, mean_absolute_error: 0.2587, 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: 0.5504, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7984, kappa: 0.5814, kb_relative_information_score: 49.3557, mean_absolute_error: 0.2159, 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: 0.4592, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.748, kappa: 0.4609, kb_relative_information_score: 46.5792, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8145, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8124, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8177, kappa: 0.6128, kb_relative_information_score: 44.1775, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8184, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7748, kappa: 0.5217, kb_relative_information_score: 46.7162, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7756, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.762, kappa: 0.4903, kb_relative_information_score: 44.8542, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7612, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0039, scimark_benchmark: 998.4083, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1101.4637, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.7531, kappa: 0.4658, kb_relative_information_score: 36.0221, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7629, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.8, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8358, kappa: 0.6464, kb_relative_information_score: 58.6821, mean_absolute_error: 0.1701, 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: 0.3619, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8485, kappa: 0.6756, kb_relative_information_score: 50.1879, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8484, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6431, scimark_benchmark: 931.7096, usercpu_time_millis: 1920, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 1130,
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: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, 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: 934.695, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4791, kb_relative_information_score: 16.511, mean_absolute_error: 0.3763, 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: 0.8006, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.2663, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7766, kappa: 0.5322, kb_relative_information_score: 43.3509, mean_absolute_error: 0.2491, 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: 0.5299, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8534, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8082, kappa: 0.5968, kb_relative_information_score: 51.4385, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.813, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8577, scimark_benchmark: 935.6052,

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