Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1794.6888, usercpu_time_millis: 4.708, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 4.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1795.2361, usercpu_time_millis: 5.235, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 4.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1804.3485, usercpu_time_millis: 4.939, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 4.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1794.1579, usercpu_time_millis: 6.175, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 5.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1807.7635, usercpu_time_millis: 4.971, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 4.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1793.4503, usercpu_time_millis: 4.993, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 4.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1804.4171, usercpu_time_millis: 4.983, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 4.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8812, kappa: 0.7082, kb_relative_information_score: 18507.005, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.881, predictive_accuracy: 0.8815, prior_entropy: 0.863, recall: 0.8815, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.7025, scimark_benchmark: 1807.4733, usercpu_time_millis: 6.039, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 5.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7354, kappa: 0.3188, kb_relative_information_score: 6186.4122, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.763, predictive_accuracy: 0.7702, prior_entropy: 0.863, recall: 0.7702, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.412, root_relative_squared_error: 0.912, scimark_benchmark: 1847.8034, usercpu_time_millis: 5.212, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 4.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1853.454, usercpu_time_millis: 4.877, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 4.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1854.568, usercpu_time_millis: 4.89, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 4.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7354, kappa: 0.3188, kb_relative_information_score: 6186.4122, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.763, predictive_accuracy: 0.7702, prior_entropy: 0.863, recall: 0.7702, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.412, root_relative_squared_error: 0.912, scimark_benchmark: 1850.2875, usercpu_time_millis: 4.96, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 4.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1851.3287, usercpu_time_millis: 4.691, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 4.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1844.6953, usercpu_time_millis: 4.893, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 4.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1846.6923, usercpu_time_millis: 6.54, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 6.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1842.2127, usercpu_time_millis: 4.921, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 4.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1844.2371, usercpu_time_millis: 5.103, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 4.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1847.2233, usercpu_time_millis: 4.876, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 4.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 4.918, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 4.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1844.3129, usercpu_time_millis: 4.974, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 4.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1848.2615, usercpu_time_millis: 5.287, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 4.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 4.861, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 4.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9187, kappa: 0.797, kb_relative_information_score: 23747.4097, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9206, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5753, scimark_benchmark: 1802.1557, usercpu_time_millis: 9.242, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 8.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 4.894, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 4.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1842.6679, usercpu_time_millis: 6.056, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 5.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1855.0232, usercpu_time_millis: 5.597, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 5.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1849.7595, usercpu_time_millis: 5.394, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 5.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1844.1673, usercpu_time_millis: 6.224, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 5.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1837.1902, usercpu_time_millis: 4.807, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 4.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1827.8179, usercpu_time_millis: 4.712, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 4.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1851.3287, usercpu_time_millis: 4.683, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 4.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1823.8876, usercpu_time_millis: 4.973, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 4.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1839.5885, usercpu_time_millis: 5.016, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 4.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1833.6087, usercpu_time_millis: 4.991, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 4.657,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1835.5512, usercpu_time_millis: 4.991, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 4.645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1849.3742, usercpu_time_millis: 4.97, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 4.633,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1847.6772, usercpu_time_millis: 6.043, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 5.684,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9039, kappa: 0.7589, kb_relative_information_score: 21558.856, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6364, scimark_benchmark: 1819.4765, usercpu_time_millis: 7.272, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 6.921,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1858.0858, usercpu_time_millis: 4.348, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 4.05,

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