OpenML
Supervised Classification on analcatdata_gsssexsurvey

Supervised Classification on analcatdata_gsssexsurvey

Task 3717 Supervised Classification analcatdata_gsssexsurvey 506 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: 0.4969, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 2.5424, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0114, scimark_benchmark: 1296.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 6.4698, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9927, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 2.5424, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0114, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.6946, kappa: 0.031, kb_relative_information_score: 42.3858, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.721, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1323, 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: 0.5788, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 6.4698, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9927, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: -4.5734, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0097, scimark_benchmark: 1322.3407, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.6978, kappa: 0.0393, kb_relative_information_score: -4.6249, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6784, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.0521, scimark_benchmark: 1316.5396, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 6.4698, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9927, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: -4.5734, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0097, scimark_benchmark: 1332.9478, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.6978, kappa: 0.0393, kb_relative_information_score: -4.6249, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6784, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.0521, scimark_benchmark: 1306.9281, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6526, kappa: -0.0972, kb_relative_information_score: -40.6355, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6127, predictive_accuracy: 0.7044, prior_entropy: 0.7667, recall: 0.7044, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0475, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.6562, kappa: -0.053, kb_relative_information_score: -32.0262, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6375, predictive_accuracy: 0.6792, prior_entropy: 0.7667, recall: 0.6792, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.1619, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4509, f_measure: 0.7135, kappa: 0.0876, kb_relative_information_score: -21.9378, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7268, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 1.0626, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0422, scimark_benchmark: 1337.4384, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1329.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.6843, kappa: -0.0053, kb_relative_information_score: -11.146, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6517, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0252, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: -4.5734, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0097, scimark_benchmark: 1336.4564, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.6978, kappa: 0.0393, kb_relative_information_score: -4.6249, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6784, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.0521, scimark_benchmark: 1322.0065, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.6562, kappa: -0.053, kb_relative_information_score: -32.0262, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6375, predictive_accuracy: 0.6792, prior_entropy: 0.7667, recall: 0.6792, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.1619, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.6946, kappa: 0.031, kb_relative_information_score: 42.3858, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.721, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1323, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.6946, kappa: 0.031, kb_relative_information_score: 42.3858, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.721, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1323, scimark_benchmark: 1336.2908, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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: 0.5457, f_measure: 0.7004, kappa: 0.0692, kb_relative_information_score: -24.9219, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6832, predictive_accuracy: 0.7296, prior_entropy: 0.7667, recall: 0.7296, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.0786, scimark_benchmark: 1348.1311, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 6.4698, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9927, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.7004, kappa: 0.0692, kb_relative_information_score: -24.9219, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6832, predictive_accuracy: 0.7296, prior_entropy: 0.7667, recall: 0.7296, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.0786, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.7004, kappa: 0.0692, kb_relative_information_score: -24.9219, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6832, predictive_accuracy: 0.7296, prior_entropy: 0.7667, recall: 0.7296, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.0786, scimark_benchmark: 1281.7531, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.7135, kappa: 0.0876, kb_relative_information_score: 4.5978, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7268, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9988, scimark_benchmark: 1317.0962, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4855, f_measure: 0.6877, kappa: 0.0064, kb_relative_information_score: -1.5079, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6638, predictive_accuracy: 0.7673, prior_entropy: 0.7667, recall: 0.7673, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.0217, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6526, kappa: -0.0972, kb_relative_information_score: -40.6355, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6127, predictive_accuracy: 0.7044, prior_entropy: 0.7667, recall: 0.7044, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0475, scimark_benchmark: 1340.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.6834, kb_relative_information_score: -1.6671, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6082, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0009, scimark_benchmark: 891.9953, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.6847, kappa: 0.0116, kb_relative_information_score: -14.6631, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6614, predictive_accuracy: 0.7233, prior_entropy: 0.7667, recall: 0.7233, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.0988, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.6834, kb_relative_information_score: -10.751, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6082, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.0075, scimark_benchmark: 1351.6526, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.6946, kappa: 0.031, kb_relative_information_score: 42.3858, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.721, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1323, scimark_benchmark: 1449.4352, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4813, f_measure: 0.6803, kappa: -0.0124, kb_relative_information_score: -0.0347, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6071, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0261, scimark_benchmark: 1303.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 2.5424, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0114, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.6783, kappa: -0.0139, kb_relative_information_score: -10.5495, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6506, predictive_accuracy: 0.7233, prior_entropy: 0.7667, recall: 0.7233, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4565, root_relative_squared_error: 1.1018, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 39.0909, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.1484, scimark_benchmark: 1301.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.6935, kappa: 0.0236, kb_relative_information_score: -9.6, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6735, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.0067, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.6969, kappa: 0.0429, kb_relative_information_score: -4.7868, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.676, predictive_accuracy: 0.7421, prior_entropy: 0.7667, recall: 0.7421, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.0236, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4618, f_measure: 0.6834, kb_relative_information_score: -1.2757, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6082, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0009, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.6562, kappa: -0.053, kb_relative_information_score: -32.0262, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6375, predictive_accuracy: 0.6792, prior_entropy: 0.7667, recall: 0.6792, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.1619, scimark_benchmark: 1342.362, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.6834, kb_relative_information_score: -2.2148, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6082, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.415, root_relative_squared_error: 1.0017, scimark_benchmark: 1334.8495, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.6861, kappa: 0.0065, kb_relative_information_score: -8.815, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6597, predictive_accuracy: 0.7358, prior_entropy: 0.7667, recall: 0.7358, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.437, root_relative_squared_error: 1.0546, scimark_benchmark: 1331.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 2.5424, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0114, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.6888, kappa: 0.0217, kb_relative_information_score: -10.0089, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6658, predictive_accuracy: 0.7296, prior_entropy: 0.7667, recall: 0.7296, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.0917, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.6621, kappa: 0.0416, kb_relative_information_score: -24.1487, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6711, predictive_accuracy: 0.6541, prior_entropy: 0.7667, recall: 0.6541, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.4097, scimark_benchmark: 926.6704,

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