OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 145953 Supervised Classification kr-vs-kp 96152 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3583, kb_relative_information_score: -0.0811, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.325, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 3.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1159.7973, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7326, scimark_benchmark: 1876.7581, usercpu_time_millis: 4.254, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 3.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2479.6433, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4212, scimark_benchmark: 1872.9496, usercpu_time_millis: 5.399, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 5.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2681.7167, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.3975, scimark_benchmark: 1876.6882, usercpu_time_millis: 5.712, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 5.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8805, kappa: 0.7621, kb_relative_information_score: 397.2153, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8984, predictive_accuracy: 0.8824, prior_entropy: 0.9986, recall: 0.8824, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.455, root_relative_squared_error: 0.911, scimark_benchmark: 1878.7854, usercpu_time_millis: 3.151, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 2.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3583, kb_relative_information_score: -0.0612, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1864.2071, usercpu_time_millis: 5.97, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 5.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3115.5986, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1408, scimark_benchmark: 1854.6858, usercpu_time_millis: 11.123, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 10.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9587, kappa: 0.9174, kb_relative_information_score: 2754.0703, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9593, predictive_accuracy: 0.9587, prior_entropy: 0.9986, recall: 0.9587, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.364, scimark_benchmark: 1881.1295, usercpu_time_millis: 21.325, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 20.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9706, kappa: 0.9411, kb_relative_information_score: 2639.538, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9706, predictive_accuracy: 0.9706, prior_entropy: 0.9986, recall: 0.9706, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3304, scimark_benchmark: 1874.977, usercpu_time_millis: 23.363, usercpu_time_millis_testing: 1.891, usercpu_time_millis_training: 21.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9483, kappa: 0.8964, kb_relative_information_score: 1510.9075, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9487, predictive_accuracy: 0.9484, prior_entropy: 0.9986, recall: 0.9484, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6321, scimark_benchmark: 1741.9882, usercpu_time_millis: 7.111, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 6.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8009, kappa: 0.6088, kb_relative_information_score: 299.3734, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8413, predictive_accuracy: 0.8076, prior_entropy: 0.9986, recall: 0.8076, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9334, scimark_benchmark: 1878.7854, usercpu_time_millis: 6.857, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 5.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3108.4666, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.1579, scimark_benchmark: 1756.2894, usercpu_time_millis: 13.848, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 13.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2648.8511, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.195, root_relative_squared_error: 0.3905, scimark_benchmark: 1875.7685, usercpu_time_millis: 17.387, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 16.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9822, kappa: 0.9642, kb_relative_information_score: 2568.358, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 0.9986, recall: 0.9822, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.341, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3583, kb_relative_information_score: -0.0014, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1865.4271, usercpu_time_millis: 3.119, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 2.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9581, kappa: 0.9161, kb_relative_information_score: 2772.9903, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9585, predictive_accuracy: 0.9581, prior_entropy: 0.9986, recall: 0.9581, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3591, scimark_benchmark: 1863.2338, usercpu_time_millis: 1.559, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9322, kappa: 0.8641, kb_relative_information_score: 1646.0687, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9346, predictive_accuracy: 0.9324, prior_entropy: 0.9986, recall: 0.9324, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6121, scimark_benchmark: 1872.9496, usercpu_time_millis: 5.496, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 5.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9828, kappa: 0.9655, kb_relative_information_score: 2827.3974, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 0.9986, recall: 0.9828, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2657, scimark_benchmark: 1878.7854, usercpu_time_millis: 8.51, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 7.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9775, kappa: 0.9548, kb_relative_information_score: 2273.9425, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 0.9986, recall: 0.9775, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4127, scimark_benchmark: 1876.6882, usercpu_time_millis: 10.133, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 9.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9697, kappa: 0.9392, kb_relative_information_score: 2881.3207, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9986, recall: 0.9697, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.143, root_relative_squared_error: 0.2862, scimark_benchmark: 1871.4349, usercpu_time_millis: 10.806, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 9.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3096.9324, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.1525, scimark_benchmark: 1880.0705, usercpu_time_millis: 19.768, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 18.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9414, kappa: 0.8825, kb_relative_information_score: 2529.4053, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9427, predictive_accuracy: 0.9415, prior_entropy: 0.9986, recall: 0.9415, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4068, scimark_benchmark: 1876.6882, usercpu_time_millis: 4.212, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 4.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9862, kappa: 0.9724, kb_relative_information_score: 2625.5156, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9863, predictive_accuracy: 0.9862, prior_entropy: 0.9986, recall: 0.9862, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3027, scimark_benchmark: 1871.8323, usercpu_time_millis: 3.793, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 3.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2270.9481, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.461, scimark_benchmark: 1874.0573, usercpu_time_millis: 8.763, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 8.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9878, kappa: 0.9755, kb_relative_information_score: 3052.872, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9878, predictive_accuracy: 0.9878, prior_entropy: 0.9986, recall: 0.9878, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.1963, scimark_benchmark: 1750.9658, usercpu_time_millis: 14.474, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 13.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1764.7251, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5902, scimark_benchmark: 1875.903, usercpu_time_millis: 11.228, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 10.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9697, kappa: 0.9392, kb_relative_information_score: 2699.0505, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9986, recall: 0.9697, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3528, scimark_benchmark: 1865.1205, usercpu_time_millis: 12.759, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 11.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9797, kappa: 0.9592, kb_relative_information_score: 2873.502, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9986, recall: 0.9797, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.2659, scimark_benchmark: 1870.1469, usercpu_time_millis: 12.14, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 11.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9426, kappa: 0.885, kb_relative_information_score: 2083.6678, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9438, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4864, scimark_benchmark: 1750.3242, usercpu_time_millis: 15.222, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 14.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2432.2605, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4312, scimark_benchmark: 1095.9642, usercpu_time_millis: 30.806, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 29.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 3010.3376, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.095, root_relative_squared_error: 0.1903, scimark_benchmark: 1103.3184, usercpu_time_millis: 32.547, usercpu_time_millis_testing: 3.247, usercpu_time_millis_training: 29.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 2776.8838, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9986, recall: 0.9856, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2669, scimark_benchmark: 1082.8488, usercpu_time_millis: 38.25, usercpu_time_millis_testing: 3.956, usercpu_time_millis_training: 34.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1985.8927, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5499, scimark_benchmark: 1116.0476, usercpu_time_millis: 6.51, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 6.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9603, kappa: 0.9204, kb_relative_information_score: 2679.9154, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9986, recall: 0.9603, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3669, scimark_benchmark: 1752.7282, usercpu_time_millis: 12.974, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 12.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 2999.5371, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1819, scimark_benchmark: 1251.5287, usercpu_time_millis: 7.815, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 7.299,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3060.4718, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1696, scimark_benchmark: 1095.4242, usercpu_time_millis: 40.671, usercpu_time_millis_testing: 3.612, usercpu_time_millis_training: 37.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3092.8719, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1655, scimark_benchmark: 1096.4884, usercpu_time_millis: 42.569, usercpu_time_millis_testing: 2.408, usercpu_time_millis_training: 40.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2597.1383, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4217, scimark_benchmark: 1872.3546, usercpu_time_millis: 7.264, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 6.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9665, kappa: 0.9329, kb_relative_information_score: 2137.3197, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9986, recall: 0.9665, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4578, scimark_benchmark: 1746.0444, usercpu_time_millis: 4.028, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 3.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.7869, kappa: 0.5844, kb_relative_information_score: 277.5487, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8406, predictive_accuracy: 0.796, prior_entropy: 0.9986, recall: 0.796, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9383, scimark_benchmark: 1866.8117, usercpu_time_millis: 6.907, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 5.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1329.8962, usercpu_time_millis: 1.339, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1326.1845, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9672, kappa: 0.9342, kb_relative_information_score: 2823.9013, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3278, scimark_benchmark: 1317.5172, usercpu_time_millis: 5.505, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 5.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 1363.7004, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6874, scimark_benchmark: 1322.8513, usercpu_time_millis: 0.789, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1321.6814, usercpu_time_millis: 0.753, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1326.6123, usercpu_time_millis: 0.788, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 1947.8095, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5439, scimark_benchmark: 1291.2188, usercpu_time_millis: 0.827, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1323.1535, usercpu_time_millis: 0.718, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1290.7939, usercpu_time_millis: 1.247, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1311.8716, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9477, kappa: 0.8952, kb_relative_information_score: 2280.0796, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9479, predictive_accuracy: 0.9477, prior_entropy: 0.9986, recall: 0.9477, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4534, scimark_benchmark: 1317.0285, usercpu_time_millis: 1.056, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1304.6913, usercpu_time_millis: 0.744, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1296.44, usercpu_time_millis: 0.812, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1296.0933, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9634, kappa: 0.9267, kb_relative_information_score: 2753.2338, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9986, recall: 0.9634, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3432, scimark_benchmark: 1303.1151, usercpu_time_millis: 3.526, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 3.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1317.9603, usercpu_time_millis: 0.798, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1316.1565, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1320.1133, usercpu_time_millis: 0.689, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.921, kappa: 0.8416, kb_relative_information_score: 1160.6818, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9223, predictive_accuracy: 0.9212, prior_entropy: 0.9986, recall: 0.9212, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7314, scimark_benchmark: 1313.7313, usercpu_time_millis: 0.788, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1320.2642, usercpu_time_millis: 0.738, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9603, kappa: 0.9204, kb_relative_information_score: 2703.2451, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9986, recall: 0.9603, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3547, scimark_benchmark: 1295.8256, usercpu_time_millis: 2.473, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 2.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1300.5185, usercpu_time_millis: 0.697, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9395, kappa: 0.8787, kb_relative_information_score: 2237.9189, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9406, predictive_accuracy: 0.9396, prior_entropy: 0.9986, recall: 0.9396, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4725, scimark_benchmark: 1301.3691, usercpu_time_millis: 1.261, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1305.3743, usercpu_time_millis: 0.749, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 884.1141, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8006, scimark_benchmark: 1329.4769, usercpu_time_millis: 0.679, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9549, kappa: 0.9097, kb_relative_information_score: 2555.2939, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9549, predictive_accuracy: 0.9549, prior_entropy: 0.9986, recall: 0.9549, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.387, scimark_benchmark: 1319.6874, usercpu_time_millis: 1.445, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9455, kappa: 0.8908, kb_relative_information_score: 2109.6095, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9457, predictive_accuracy: 0.9456, prior_entropy: 0.9986, recall: 0.9456, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.248, root_relative_squared_error: 0.4964, scimark_benchmark: 1325.1622, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 0.568,

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