OpenML
Supervised Classification on chscase_geyser1

Supervised Classification on chscase_geyser1

Task 4463 Supervised Classification chscase_geyser1 227 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1378.3787, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.672, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8798, kappa: 0.7461, kb_relative_information_score: 1257.72, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.888, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6584, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8796, kappa: 0.7458, kb_relative_information_score: 1434.8951, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8886, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6507, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8968, kappa: 0.782, kb_relative_information_score: 1744.3303, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9092, predictive_accuracy: 0.8996, prior_entropy: 0.9694, recall: 0.8996, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6479, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1369.6538, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6715, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8881, kappa: 0.7636, kb_relative_information_score: 1446.0327, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8994, predictive_accuracy: 0.891, prior_entropy: 0.9694, recall: 0.891, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6234, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9004, kappa: 0.7899, kb_relative_information_score: 1461.2103, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9068, predictive_accuracy: 0.9023, prior_entropy: 0.9694, recall: 0.9023, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5978, scimark_benchmark: 934.3687, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1354.6349, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6707, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8416, kappa: 0.6676, kb_relative_information_score: 1364.9273, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8415, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7175, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8968, kappa: 0.782, kb_relative_information_score: 1744.3303, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9092, predictive_accuracy: 0.8996, prior_entropy: 0.9694, recall: 0.8996, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6479, scimark_benchmark: 938.5498, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8968, kappa: 0.782, kb_relative_information_score: 1744.3303, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9092, predictive_accuracy: 0.8996, prior_entropy: 0.9694, recall: 0.8996, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6479, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1369.6538, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6715, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8416, kappa: 0.6676, kb_relative_information_score: 1364.9273, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8415, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7175, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1378.3787, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.672, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8798, kappa: 0.7461, kb_relative_information_score: 1257.72, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.888, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6584, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8796, kappa: 0.7458, kb_relative_information_score: 1434.8951, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8886, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6507, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8968, kappa: 0.782, kb_relative_information_score: 1744.3303, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9092, predictive_accuracy: 0.8996, prior_entropy: 0.9694, recall: 0.8996, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6479, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8968, kappa: 0.782, kb_relative_information_score: 1744.3303, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9092, predictive_accuracy: 0.8996, prior_entropy: 0.9694, recall: 0.8996, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6479, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1366.3967, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6713, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1369.6538, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6715, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8881, kappa: 0.7636, kb_relative_information_score: 1446.0327, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8994, predictive_accuracy: 0.891, prior_entropy: 0.9694, recall: 0.891, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6234, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9004, kappa: 0.7899, kb_relative_information_score: 1461.2103, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9068, predictive_accuracy: 0.9023, prior_entropy: 0.9694, recall: 0.9023, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5978, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1369.6538, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6715, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8728, kappa: 0.7312, kb_relative_information_score: 1354.6349, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8866, predictive_accuracy: 0.8766, prior_entropy: 0.9694, recall: 0.8766, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6707, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8416, kappa: 0.6676, kb_relative_information_score: 1364.9273, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8415, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7175, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8867, kappa: 0.7607, kb_relative_information_score: 1450.7506, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8952, predictive_accuracy: 0.8892, prior_entropy: 0.9694, recall: 0.8892, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6188, scimark_benchmark: 901.4991, usercpu_time_millis: 200, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8848, kappa: 0.7568, kb_relative_information_score: 1450.9861, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8933, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6188, scimark_benchmark: 906.5979, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8876, kappa: 0.7626, kb_relative_information_score: 1451.7968, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8962, predictive_accuracy: 0.8901, prior_entropy: 0.9694, recall: 0.8901, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6185, scimark_benchmark: 905.3417, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8826, kappa: 0.7522, kb_relative_information_score: 1449.2627, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8904, predictive_accuracy: 0.8851, prior_entropy: 0.9694, recall: 0.8851, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6212, scimark_benchmark: 921.2615, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8854, kappa: 0.7582, kb_relative_information_score: 1447.5473, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8929, predictive_accuracy: 0.8878, prior_entropy: 0.9694, recall: 0.8878, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6202, scimark_benchmark: 930.0399, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8797, kappa: 0.746, kb_relative_information_score: 1485.5205, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8882, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6481, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8797, kappa: 0.746, kb_relative_information_score: 1485.5205, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8882, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6481, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8797, kappa: 0.746, kb_relative_information_score: 1485.5205, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8882, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6481, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8797, kappa: 0.746, kb_relative_information_score: 1485.5205, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8882, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6481, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8797, kappa: 0.746, kb_relative_information_score: 1485.5205, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8882, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6481, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.4544, kb_relative_information_score: -1.1405, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8818, kappa: 0.7504, kb_relative_information_score: 1671.2949, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8917, predictive_accuracy: 0.8847, prior_entropy: 0.9694, recall: 0.8847, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6862, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8968, kappa: 0.782, kb_relative_information_score: 1744.3303, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9092, predictive_accuracy: 0.8996, prior_entropy: 0.9694, recall: 0.8996, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6479, scimark_benchmark: 1309.0674, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9004, kappa: 0.7899, kb_relative_information_score: 1461.2103, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9068, predictive_accuracy: 0.9023, prior_entropy: 0.9694, recall: 0.9023, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5978, scimark_benchmark: 1313.9976, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8416, kappa: 0.6676, kb_relative_information_score: 1364.9273, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8415, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7175, scimark_benchmark: 1343.3311, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8416, kappa: 0.6676, kb_relative_information_score: 1364.9273, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8415, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7175, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8986, kappa: 0.7862, kb_relative_information_score: 1497.8663, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9046, predictive_accuracy: 0.9005, prior_entropy: 0.9694, recall: 0.9005, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6015, scimark_benchmark: 1320.2063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8796, kappa: 0.7458, kb_relative_information_score: 1434.8951, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.8886, predictive_accuracy: 0.8824, prior_entropy: 0.9694, recall: 0.8824, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6507, scimark_benchmark: 1330.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8963, kappa: 0.7811, kb_relative_information_score: 1386.2642, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4787, number_of_instances: 2220, precision: 0.9027, predictive_accuracy: 0.8982, prior_entropy: 0.9694, recall: 0.8982, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6082, scimark_benchmark: 1337.1928, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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