OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 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: 1849.8294, usercpu_time_millis: 4.54, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 4.227,
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: 1897.4361, usercpu_time_millis: 4.219, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 3.93,
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: 4.526, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 4.216,
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: 1904.9119, usercpu_time_millis: 4.072, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.786,
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: 1853.9121, usercpu_time_millis: 4.467, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 4.151,
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: 1842.7437, usercpu_time_millis: 4.524, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 4.223,
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: 1842.6679, usercpu_time_millis: 4.526, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 4.227,
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: 1824.745, usercpu_time_millis: 4.486, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 4.185,
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: 1850.2875, usercpu_time_millis: 4.649, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 4.332,
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: 1854.9533, usercpu_time_millis: 4.849, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 4.518,
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: 1857.6392, usercpu_time_millis: 4.699, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 4.386,
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: 1849.8294, usercpu_time_millis: 4.8, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 4.461,
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: 1848.1927, usercpu_time_millis: 5.951, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 5.611,
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: 1859.1356, usercpu_time_millis: 4.976, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 4.643,
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: 1853.9121, usercpu_time_millis: 5.035, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 4.694,
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: 1851.8567, usercpu_time_millis: 5.283, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 4.917,
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: 5.562, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 5.209,
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: 1853.9121, usercpu_time_millis: 5.538, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 5.168,
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: 1855.4813, usercpu_time_millis: 5.965, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 5.627,
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: 2113.3201, usercpu_time_millis: 5.461, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 5.183,
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: 1851.8567, usercpu_time_millis: 5.209, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 4.837,
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: 1850.2875, usercpu_time_millis: 6.38, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 6.018,
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: 1817.3885, usercpu_time_millis: 4.938, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 4.577,
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: 1853.9121, usercpu_time_millis: 5.115, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 4.776,
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: 4.998, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 4.681,
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: 1803.6997, usercpu_time_millis: 5.153, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 4.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.889, kappa: 0.726, kb_relative_information_score: 19444.7502, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8886, predictive_accuracy: 0.8899, prior_entropy: 0.863, recall: 0.8899, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6844, scimark_benchmark: 1800.9139, usercpu_time_millis: 5.883, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 5.53,
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: 1802.0128, usercpu_time_millis: 4.761, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 4.446,
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: 1853.3841, usercpu_time_millis: 6.143, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 5.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7592, kappa: 0.3814, kb_relative_information_score: 7673.3399, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7741, predictive_accuracy: 0.7831, prior_entropy: 0.863, recall: 0.7831, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8902, scimark_benchmark: 1802.0128, usercpu_time_millis: 4.728, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 4.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9072, kappa: 0.766, kb_relative_information_score: 22183.0473, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9136, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6191, scimark_benchmark: 1853.97, usercpu_time_millis: 7.57, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 7.233,
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: 1794.5001, usercpu_time_millis: 4.677, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 4.357,
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: 1816.1301, usercpu_time_millis: 4.943, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 4.59,
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: 1955.1706, usercpu_time_millis: 4.393, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 4.094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7592, kappa: 0.3814, kb_relative_information_score: 7673.3399, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7741, predictive_accuracy: 0.7831, prior_entropy: 0.863, recall: 0.7831, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8902, scimark_benchmark: 1943.9132, usercpu_time_millis: 4.416, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 4.115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.6752, kappa: 0.1708, kb_relative_information_score: 3053.8382, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7379, predictive_accuracy: 0.7417, prior_entropy: 0.863, recall: 0.7417, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.958, scimark_benchmark: 1733.4704, usercpu_time_millis: 7.739, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 7.287,
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: 1731.9625, usercpu_time_millis: 4.425, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 4.122,
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: 1737.9267, usercpu_time_millis: 5.557, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 5.225,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9219, kappa: 0.8053, kb_relative_information_score: 24040.5961, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5688, scimark_benchmark: 1878.7693, usercpu_time_millis: 13.174, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 12.748,
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: 1735.1328, usercpu_time_millis: 5.79, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 5.443,
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: 1854.9533, usercpu_time_millis: 6.156, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 5.804,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.889, kappa: 0.726, kb_relative_information_score: 19444.7502, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8886, predictive_accuracy: 0.8899, prior_entropy: 0.863, recall: 0.8899, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6844, scimark_benchmark: 1853.9121, usercpu_time_millis: 7.566, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 7.182,
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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: 1727.5086, usercpu_time_millis: 4.871, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 4.545,
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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: 1735.1328, usercpu_time_millis: 4.794, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 4.463,
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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: 1733.7613, usercpu_time_millis: 7.378, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 7.035,
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: 1734.2259, usercpu_time_millis: 6.012, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 5.659,
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: 1733.7613, usercpu_time_millis: 5.861, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 5.516,
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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: 1732.3665, usercpu_time_millis: 4.857, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 4.522,
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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: 1734.2175, usercpu_time_millis: 4.743, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 4.416,
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: 1735.6941, usercpu_time_millis: 4.567, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 4.247,
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: 1736.5552, usercpu_time_millis: 4.81, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 4.477,

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