Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8638, kappa: 0.3513, kb_relative_information_score: 1083.0773, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.893, prior_entropy: 0.5848, recall: 0.893, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.7888, scimark_benchmark: 1849.8294, usercpu_time_millis: 36.995, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 35.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -3.806, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 5.99, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 4.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.303, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 6.112, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 5.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -0.4349, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 4.688, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 3.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.5005, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1831.6845, usercpu_time_millis: 4.883, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 3.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.8187, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1840.685, usercpu_time_millis: 5.512, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 4.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.1695, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 5.696, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 4.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -0.8876, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1741.3825, usercpu_time_millis: 7.535, usercpu_time_millis_testing: 1.266, usercpu_time_millis_training: 6.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -1.9498, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1844.2803, usercpu_time_millis: 9.238, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 7.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.8976, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1812.8098, usercpu_time_millis: 5.628, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 4.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.935, kappa: 0.7185, kb_relative_information_score: 1814.9972, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9353, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.6157, scimark_benchmark: 1824.3463, usercpu_time_millis: 27.259, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 26.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9569, kappa: 0.8197, kb_relative_information_score: 2225.73, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9567, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.5221, scimark_benchmark: 1848.2722, usercpu_time_millis: 16.077, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 15.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.6079, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 7.481, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 6.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -5.8005, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1849.2344, usercpu_time_millis: 3.306, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 2.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -1.9256, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1851.827, usercpu_time_millis: 6.976, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 5.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -1.2287, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1848.7121, usercpu_time_millis: 5.601, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 4.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -2.7391, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 7.108, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 5.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: -3.52, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 5.226, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 4.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.3256, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1844.2676, usercpu_time_millis: 6.289, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 5.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.7953, kb_relative_information_score: -1.356, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1844.7258, usercpu_time_millis: 4.336, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 3.619,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2251.1103, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5032, scimark_benchmark: 1837.5732, usercpu_time_millis: 381.712, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 380.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9702, kappa: 0.8733, kb_relative_information_score: 2197.9149, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9706, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.4931, scimark_benchmark: 1846.0717, usercpu_time_millis: 391.322, usercpu_time_millis_testing: 2.565, usercpu_time_millis_training: 388.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9687, kappa: 0.8681, kb_relative_information_score: 2505.9724, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9686, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.161, root_relative_squared_error: 0.4639, scimark_benchmark: 1849.3742, usercpu_time_millis: 281.795, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 281.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9583, kappa: 0.8283, kb_relative_information_score: 2284.12, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.5369, scimark_benchmark: 1828.686, usercpu_time_millis: 337.598, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 336.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9576, kappa: 0.8255, kb_relative_information_score: 2267.35, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9581, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5357, scimark_benchmark: 1837.6889, usercpu_time_millis: 249.356, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 248.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9602, kappa: 0.8351, kb_relative_information_score: 2240.7616, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5002, scimark_benchmark: 1850.2875, usercpu_time_millis: 236.908, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 235.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9705, kappa: 0.8743, kb_relative_information_score: 2227.0465, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.971, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4859, scimark_benchmark: 1846.362, usercpu_time_millis: 236.563, usercpu_time_millis_testing: 2.591, usercpu_time_millis_training: 233.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9593, kappa: 0.8318, kb_relative_information_score: 2281.1947, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5149, scimark_benchmark: 1850.9136, usercpu_time_millis: 223.971, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 223.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9733, kappa: 0.8872, kb_relative_information_score: 2486.1876, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4381, scimark_benchmark: 1848.3343, usercpu_time_millis: 196.174, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 195.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.972, kappa: 0.8817, kb_relative_information_score: 2471.7563, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4446, scimark_benchmark: 1846.9558, usercpu_time_millis: 181.765, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 181.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9759, kappa: 0.899, kb_relative_information_score: 2702.8144, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4078, scimark_benchmark: 1847.421, usercpu_time_millis: 169.794, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 169.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9653, kappa: 0.8552, kb_relative_information_score: 2241.8733, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9652, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.4946, scimark_benchmark: 1841.7546, usercpu_time_millis: 204.573, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 203.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.973, kappa: 0.886, kb_relative_information_score: 2563.5384, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.973, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4299, scimark_benchmark: 1786.9086, usercpu_time_millis: 164.829, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 164.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9586, kappa: 0.8294, kb_relative_information_score: 2275.0144, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.959, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5255, scimark_benchmark: 1848.7762, usercpu_time_millis: 169.264, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 168.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9695, kappa: 0.8686, kb_relative_information_score: 2332.8154, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.971, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.4598, scimark_benchmark: 1852.9988, usercpu_time_millis: 130.204, usercpu_time_millis_testing: 4.387, usercpu_time_millis_training: 125.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9725, kappa: 0.8828, kb_relative_information_score: 2325.593, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9729, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.161, root_relative_squared_error: 0.464, scimark_benchmark: 1756.2996, usercpu_time_millis: 69.365, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 68.13,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.0407, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 7.709, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 6.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.401, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1850.9835, usercpu_time_millis: 6.765, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 5.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -1.5257, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1843.1699, usercpu_time_millis: 6.789, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 5.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -3.1171, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1838.5353, usercpu_time_millis: 8.198, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 6.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -2.4728, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 5.585, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 4.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -4.753, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1842.2127, usercpu_time_millis: 5.066, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 4.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: -2.8334, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 5.377, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 4.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.7953, kb_relative_information_score: -8.5904, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.97, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 2.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: -2.4722, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1832.5979, usercpu_time_millis: 5.105, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 4.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9596, kappa: 0.8329, kb_relative_information_score: 2266.2895, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5044, scimark_benchmark: 1848.7304, usercpu_time_millis: 334.027, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 333.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9602, kappa: 0.8354, kb_relative_information_score: 2265.9602, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5066, scimark_benchmark: 1847.108, usercpu_time_millis: 285.186, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 284.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9709, kappa: 0.8762, kb_relative_information_score: 2264.8476, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9713, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.4752, scimark_benchmark: 1812.0657, usercpu_time_millis: 254.336, usercpu_time_millis_testing: 2.34, usercpu_time_millis_training: 251.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2555.5196, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4521, scimark_benchmark: 1783.2149, usercpu_time_millis: 186.801, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 186.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.97, kappa: 0.8736, kb_relative_information_score: 2358.4807, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.4676, scimark_benchmark: 1822.9127, usercpu_time_millis: 212.626, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 211.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9549, kappa: 0.8112, kb_relative_information_score: 2253.274, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9546, predictive_accuracy: 0.9552, prior_entropy: 0.5848, recall: 0.9552, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.5279, scimark_benchmark: 1831.4626, usercpu_time_millis: 216.588, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 215.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9539, kappa: 0.8072, kb_relative_information_score: 2252.718, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9537, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5295, scimark_benchmark: 1818.6991, usercpu_time_millis: 195.593, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 194.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9753, kappa: 0.8964, kb_relative_information_score: 2680.2561, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.416, scimark_benchmark: 1797.4594, usercpu_time_millis: 174.144, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 173.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9733, kappa: 0.8869, kb_relative_information_score: 2502.1797, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.443, scimark_benchmark: 1761.3596, usercpu_time_millis: 145.231, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 144.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9741, kappa: 0.891, kb_relative_information_score: 2677.194, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4164, scimark_benchmark: 1809.6015, usercpu_time_millis: 163.704, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 162.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.959, kappa: 0.8307, kb_relative_information_score: 2264.0637, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9593, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.5375, scimark_benchmark: 1845.4698, usercpu_time_millis: 144.932, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 144.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9656, kappa: 0.8519, kb_relative_information_score: 2154.9408, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5163, scimark_benchmark: 1822.3184, usercpu_time_millis: 149.32, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 146.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9696, kappa: 0.8691, kb_relative_information_score: 2363.3456, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.4603, scimark_benchmark: 1849.8294, usercpu_time_millis: 123.446, usercpu_time_millis_testing: 4.52, usercpu_time_millis_training: 118.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9575, kappa: 0.8228, kb_relative_information_score: 2261.5255, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5177, scimark_benchmark: 1819.2155, usercpu_time_millis: 101.671, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 100.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9729, kappa: 0.8853, kb_relative_information_score: 2409.7004, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4521, scimark_benchmark: 1818.6176, usercpu_time_millis: 145.566, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 144.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.929, kappa: 0.6917, kb_relative_information_score: 1782.0943, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9291, predictive_accuracy: 0.9326, prior_entropy: 0.5848, recall: 0.9326, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.6411, scimark_benchmark: 1812.9383, usercpu_time_millis: 135.225, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 134.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8791, kappa: 0.4299, kb_relative_information_score: 1237.2712, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9082, predictive_accuracy: 0.9018, prior_entropy: 0.5848, recall: 0.9018, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.7504, scimark_benchmark: 1849.7595, usercpu_time_millis: 103.561, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 102.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9542, kappa: 0.7984, kb_relative_information_score: 2090.6919, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9587, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.5282, scimark_benchmark: 1772.2408, usercpu_time_millis: 105.86, usercpu_time_millis_testing: 5.725, usercpu_time_millis_training: 100.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9706, kappa: 0.8759, kb_relative_information_score: 2412.184, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4617, scimark_benchmark: 1763.51, usercpu_time_millis: 110.215, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 109.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8835, kappa: 0.4522, kb_relative_information_score: 1280.6473, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9107, predictive_accuracy: 0.9045, prior_entropy: 0.5848, recall: 0.9045, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7405, scimark_benchmark: 1826.3828, usercpu_time_millis: 118.748, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 117.409,

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