Task
Supervised Classification on analcatdata_marketing

Supervised Classification on analcatdata_marketing

Task 3849 Supervised Classification analcatdata_marketing 542 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5655, kappa: -0.007, kb_relative_information_score: -4.8708, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5574, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0178, scimark_benchmark: 1314.7093, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5655, kappa: -0.007, kb_relative_information_score: -4.8708, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5574, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0178, scimark_benchmark: 1371.174, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5584, kappa: -0.0143, kb_relative_information_score: -1.669, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5365, predictive_accuracy: 0.6703, prior_entropy: 0.901, recall: 0.6703, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0302, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1333.1149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.5613, kappa: -0.0133, kb_relative_information_score: 20.5369, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5454, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0667, scimark_benchmark: 1264.9916, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5552, kappa: -0.0153, kb_relative_information_score: -9.8172, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5189, predictive_accuracy: 0.6731, prior_entropy: 0.901, recall: 0.6731, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0092, scimark_benchmark: 1281.7531, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 1341.3551, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5703, kappa: -0.0202, kb_relative_information_score: -25.8771, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5587, predictive_accuracy: 0.5879, prior_entropy: 0.901, recall: 0.5879, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1169, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 1322.7257, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.5613, kappa: -0.0133, kb_relative_information_score: 20.5369, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5454, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0667, scimark_benchmark: 1393.8432, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1343.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.5816, kappa: -0.0024, kb_relative_information_score: -16.4971, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5666, predictive_accuracy: 0.6154, prior_entropy: 0.901, recall: 0.6154, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0912, scimark_benchmark: 1342.8584, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5552, kappa: -0.0153, kb_relative_information_score: -9.8172, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5189, predictive_accuracy: 0.6731, prior_entropy: 0.901, recall: 0.6731, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0092, scimark_benchmark: 1316.5396, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 1303.5632, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5655, kappa: -0.007, kb_relative_information_score: -4.8708, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5574, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0178, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5703, kappa: -0.0202, kb_relative_information_score: -25.8771, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5587, predictive_accuracy: 0.5879, prior_entropy: 0.901, recall: 0.5879, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1169, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4729, f_measure: 0.5762, kappa: -0.0157, kb_relative_information_score: -50.7169, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5592, predictive_accuracy: 0.6236, prior_entropy: 0.901, recall: 0.6236, relative_absolute_error: 1.0696, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0635, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5584, kappa: -0.0143, kb_relative_information_score: -1.669, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5365, predictive_accuracy: 0.6703, prior_entropy: 0.901, recall: 0.6703, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0302, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5655, kappa: -0.007, kb_relative_information_score: -4.8708, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5574, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0178, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5703, kappa: -0.0202, kb_relative_information_score: -25.8771, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5587, predictive_accuracy: 0.5879, prior_entropy: 0.901, recall: 0.5879, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1169, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.576, kappa: -0.0066, kb_relative_information_score: -24.1625, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5648, predictive_accuracy: 0.5934, prior_entropy: 0.901, recall: 0.5934, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.1076, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.6094, kappa: 0.0645, kb_relative_information_score: -17.1287, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5992, predictive_accuracy: 0.6401, prior_entropy: 0.901, recall: 0.6401, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0626, scimark_benchmark: 1887.4343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4692, f_measure: 0.5755, kappa: 0.0005, kb_relative_information_score: -2.7007, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.568, predictive_accuracy: 0.5852, prior_entropy: 0.901, recall: 0.5852, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.2989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.6015, kappa: 0.0515, kb_relative_information_score: -11.6528, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.603, predictive_accuracy: 0.6648, prior_entropy: 0.901, recall: 0.6648, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0177, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5824, kappa: 0.0185, kb_relative_information_score: -1.5215, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5758, predictive_accuracy: 0.5907, prior_entropy: 0.901, recall: 0.5907, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6398, root_relative_squared_error: 1.3762, scimark_benchmark: 1546.9841, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.5523, kappa: -0.0442, kb_relative_information_score: -13.2247, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5153, predictive_accuracy: 0.6511, prior_entropy: 0.901, recall: 0.6511, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0229, scimark_benchmark: 935.5664, usercpu_time_millis: 10650, usercpu_time_millis_testing: 2880, usercpu_time_millis_training: 7770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.5639, kappa: -0.0123, kb_relative_information_score: -10.2452, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5507, predictive_accuracy: 0.6648, prior_entropy: 0.901, recall: 0.6648, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0159, scimark_benchmark: 931.7096, usercpu_time_millis: 22310, usercpu_time_millis_testing: 7120, usercpu_time_millis_training: 15190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5552, kappa: -0.0153, kb_relative_information_score: -9.8172, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5189, predictive_accuracy: 0.6731, prior_entropy: 0.901, recall: 0.6731, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0092, scimark_benchmark: 938.988, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5552, kappa: -0.0153, kb_relative_information_score: -9.8172, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5189, predictive_accuracy: 0.6731, prior_entropy: 0.901, recall: 0.6731, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0092, scimark_benchmark: 879.4299, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.5657, kappa: 0.0026, kb_relative_information_score: 64.6691, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5736, predictive_accuracy: 0.6758, prior_entropy: 0.901, recall: 0.6758, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1444, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5584, kappa: -0.0143, kb_relative_information_score: -1.669, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5365, predictive_accuracy: 0.6703, prior_entropy: 0.901, recall: 0.6703, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0302, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.5735, kappa: 0.0052, kb_relative_information_score: -4.5866, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5739, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0078, scimark_benchmark: 939.3535, usercpu_time_millis: 6090, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 4220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.5694, kappa: -0.0316, kb_relative_information_score: -30.7473, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5501, predictive_accuracy: 0.6209, prior_entropy: 0.901, recall: 0.6209, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0918, scimark_benchmark: 889.4922, usercpu_time_millis: 1360, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5359, f_measure: 0.5767, kappa: 0.0156, kb_relative_information_score: 58.1694, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5883, predictive_accuracy: 0.6731, prior_entropy: 0.901, recall: 0.6731, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.1402, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.5557, kb_relative_information_score: -0.287, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.574, kappa: -0.0109, kb_relative_information_score: -25.6944, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5629, predictive_accuracy: 0.5907, prior_entropy: 0.901, recall: 0.5907, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.1399, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.5703, kappa: -0.0202, kb_relative_information_score: -29.469, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5587, predictive_accuracy: 0.5879, prior_entropy: 0.901, recall: 0.5879, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5304, root_relative_squared_error: 1.1409, scimark_benchmark: 936.7184, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.6005, kappa: 0.0511, kb_relative_information_score: 0.7893, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.6048, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4662, root_relative_squared_error: 1.0029, scimark_benchmark: 920.3788, usercpu_time_millis: 3050, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 934.5964, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 926.5462, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,

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