Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 416624 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_130 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6969, kappa: 0.2584, kb_relative_information_score: 161.0546, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.692, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0451, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7459, kappa: 0.3819, kb_relative_information_score: 248.8588, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.743, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8886, scimark_benchmark: 1254.1389, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.7049, kappa: 0.2889, kb_relative_information_score: 256.0091, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7019, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.1759, scimark_benchmark: 473.1656, usercpu_time_millis: 430, usercpu_time_millis_testing: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.7049, kappa: 0.2889, kb_relative_information_score: 256.0091, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7019, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.1759, scimark_benchmark: 473.1656, usercpu_time_millis: 430, usercpu_time_millis_testing: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7454, kappa: 0.3831, kb_relative_information_score: 242.5746, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7426, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9127, scimark_benchmark: 1233.3899, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7454, kappa: 0.3831, kb_relative_information_score: 242.5746, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7426, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9127, scimark_benchmark: 1234.8781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6742, kappa: 0.2009, kb_relative_information_score: 150.5805, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6678, predictive_accuracy: 0.689, prior_entropy: 0.8818, recall: 0.689, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9817, scimark_benchmark: 1217.769, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6742, kappa: 0.2009, kb_relative_information_score: 150.5805, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6678, predictive_accuracy: 0.689, prior_entropy: 0.8818, recall: 0.689, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9817, scimark_benchmark: 1185.0192, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.7049, kappa: 0.2889, kb_relative_information_score: 256.0091, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7019, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.1759, scimark_benchmark: 1217.7492, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.7049, kappa: 0.2889, kb_relative_information_score: 256.0091, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7019, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.1759, scimark_benchmark: 1232.9691, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7146, kappa: 0.3097, kb_relative_information_score: 282.3213, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7111, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0665, scimark_benchmark: 1237.8253, usercpu_time_millis: 22210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 22180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6853, kappa: 0.3574, kb_relative_information_score: 155.6871, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.672, prior_entropy: 0.8818, recall: 0.672, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.2343, scimark_benchmark: 1242.2683, usercpu_time_millis: 990, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7505, kappa: 0.416, kb_relative_information_score: 327.0059, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7557, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9906, scimark_benchmark: 1243.65, usercpu_time_millis: 790, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.good).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7146, kappa: 0.3097, kb_relative_information_score: 282.3213, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7111, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0665, scimark_benchmark: 478.981, usercpu_time_millis: 63870, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 63780,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(1L, 1L, 1L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.good).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.7485, kappa: 0.377, kb_relative_information_score: 409.8979, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7579, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0488, usercpu_time_millis: 24.53, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 24.09,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(1L, 1L, 1L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.good).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7441, kappa: 0.3781, kb_relative_information_score: 255.2771, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8985, scimark_benchmark: 1242.0704, usercpu_time_millis: 710840, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 710790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7441, kappa: 0.3781, kb_relative_information_score: 255.2771, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8985, scimark_benchmark: 1226.8043, usercpu_time_millis: 973240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 973200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7616, kappa: 0.4139, kb_relative_information_score: 422.6587, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8818, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374, usercpu_time_millis: 48.166, usercpu_time_millis_testing: 7.891, usercpu_time_millis_training: 40.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952, usercpu_time_millis: 3.614, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 2.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.7459, kappa: 0.3819, kb_relative_information_score: 369.0632, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.743, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0845, usercpu_time_millis: 1.968, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.703, kappa: 0.263, kb_relative_information_score: 348.6459, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7347, predictive_accuracy: 0.745, prior_entropy: 0.8818, recall: 0.745, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.505, root_relative_squared_error: 1.1019, usercpu_time_millis: 8.887, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 8.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.7327, kappa: 0.3464, kb_relative_information_score: 343.5416, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7298, predictive_accuracy: 0.743, prior_entropy: 0.8818, recall: 0.743, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.507, root_relative_squared_error: 1.1063, usercpu_time_millis: 2.687, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952, usercpu_time_millis: 1.22, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.7011, kappa: 0.2575, kb_relative_information_score: 318.0199, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7113, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.1276, usercpu_time_millis: 3.748, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 3.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.7221, kappa: 0.3096, kb_relative_information_score: 366.5111, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7384, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0867, usercpu_time_millis: 147.021, usercpu_time_millis_testing: 9.139, usercpu_time_millis_training: 137.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.7393, kappa: 0.3573, kb_relative_information_score: 374.1676, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7405, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0801, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.7049, kappa: 0.2889, kb_relative_information_score: 256.768, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7019, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5394, root_relative_squared_error: 1.1772, usercpu_time_millis: 4.609, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 3.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.7013, kappa: 0.2632, kb_relative_information_score: 284.8418, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6988, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.1547, usercpu_time_millis: 4.498, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 3.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.6969, kappa: 0.2584, kb_relative_information_score: 256.768, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.692, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5394, root_relative_squared_error: 1.1772, usercpu_time_millis: 4.115, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 2.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.7176, kappa: 0.2984, kb_relative_information_score: 356.3024, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7327, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0954, usercpu_time_millis: 2.622, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 2.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.7023, kappa: 0.2662, kb_relative_information_score: 284.8418, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.1547, usercpu_time_millis: 1.274, usercpu_time_millis_testing: 1.252, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7502, kappa: 0.3913, kb_relative_information_score: 381.824, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7477, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0735, usercpu_time_millis: 409.879, usercpu_time_millis_testing: 16.409, usercpu_time_millis_training: 393.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7497, kappa: 0.3907, kb_relative_information_score: 379.2719, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.747, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757, usercpu_time_millis: 1.289, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.7459, kappa: 0.3819, kb_relative_information_score: 369.0632, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.743, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0845, usercpu_time_millis: 1.631, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.7459, kappa: 0.3819, kb_relative_information_score: 369.0632, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.743, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0845, usercpu_time_millis: 1.164, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7445, kappa: 0.3812, kb_relative_information_score: 361.4067, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7417, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911, usercpu_time_millis: 8.544, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 8.418,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7121, kappa: 0.2906, kb_relative_information_score: 163.6663, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7101, predictive_accuracy: 0.729, prior_entropy: 0.8818, recall: 0.729, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9437, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.7498, kappa: 0.409, kb_relative_information_score: 356.3024, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.752, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0954, scimark_benchmark: 1779.392, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.6997, kappa: 0.2554, kb_relative_information_score: 300.1548, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7026, predictive_accuracy: 0.726, prior_entropy: 0.8818, recall: 0.726, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.1423, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.6917, kappa: 0.24, kb_relative_information_score: 259.3202, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6876, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.739, kappa: 0.3616, kb_relative_information_score: 358.8546, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7364, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7117, kappa: 0.2891, kb_relative_information_score: 193.1379, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7098, predictive_accuracy: 0.729, prior_entropy: 0.8818, recall: 0.729, relative_absolute_error: 0.7727, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9478, scimark_benchmark: 1873.1108, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7144, kappa: 0.2979, kb_relative_information_score: 201.6566, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7115, predictive_accuracy: 0.729, prior_entropy: 0.8818, recall: 0.729, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9342, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.6922, kappa: 0.2366, kb_relative_information_score: 182.2966, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7246, predictive_accuracy: 0.738, prior_entropy: 0.8818, recall: 0.738, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9193, scimark_benchmark: 1873.1108, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7183, kappa: 0.3042, kb_relative_information_score: 195.4433, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7185, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9163, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6699, kappa: 0.1824, kb_relative_information_score: 183.254, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6971, predictive_accuracy: 0.722, prior_entropy: 0.8818, recall: 0.722, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0422, scimark_benchmark: 1840.6094, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.6945, kappa: 0.2418, kb_relative_information_score: 207.173, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6992, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9735, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.6996, kappa: 0.2617, kb_relative_information_score: 106.3617, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6955, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9761, scimark_benchmark: 867.9557, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.6704, kappa: 0.1821, kb_relative_information_score: 279.7375, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6889, predictive_accuracy: 0.718, prior_entropy: 0.8818, recall: 0.718, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.531, root_relative_squared_error: 1.1588, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.7399, kappa: 0.3628, kb_relative_information_score: 363.9589, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7379, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0889, scimark_benchmark: 891.5209, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7251, kappa: 0.3206, kb_relative_information_score: 175.732, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7267, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9087, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7275, kappa: 0.3459, kb_relative_information_score: 189.3699, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7256, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9247, scimark_benchmark: 1788.6668, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.7136, kappa: 0.3002, kb_relative_information_score: 121.2857, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7095, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9544, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7199, kappa: 0.3116, kb_relative_information_score: 164.6389, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7174, predictive_accuracy: 0.734, prior_entropy: 0.8818, recall: 0.734, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9144, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7342, kappa: 0.3727, kb_relative_information_score: 225.2461, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7368, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9566, scimark_benchmark: 1788.6668, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7287, kappa: 0.3328, kb_relative_information_score: 209.1096, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7273, predictive_accuracy: 0.743, prior_entropy: 0.8818, recall: 0.743, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.9044, scimark_benchmark: 1788.6668, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6969, kappa: 0.2584, kb_relative_information_score: 161.3326, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.692, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.045, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7402, kappa: 0.3675, kb_relative_information_score: 272.7791, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9252, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7425, kappa: 0.3622, kb_relative_information_score: 181.1733, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7502, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8923, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.6879, kappa: 0.2337, kb_relative_information_score: 152.9901, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6827, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9711, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.7083, kappa: 0.2777, kb_relative_information_score: 120.6752, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7099, predictive_accuracy: 0.731, prior_entropy: 0.8818, recall: 0.731, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9648, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs