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: 0.9987, f_measure: 0.9875, kappa: 0.9749, kb_relative_information_score: 3078.3864, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.9986, recall: 0.9875, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2043, scimark_benchmark: 1752.969, usercpu_time_millis: 80.197, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 79.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9398, kappa: 0.8794, kb_relative_information_score: 2607.8683, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9409, predictive_accuracy: 0.9399, prior_entropy: 0.9986, recall: 0.9399, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4539, scimark_benchmark: 1858.2582, usercpu_time_millis: 25.057, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 24.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8045, kappa: 0.6178, kb_relative_information_score: 1717.1712, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8334, predictive_accuracy: 0.8069, prior_entropy: 0.9986, recall: 0.8069, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7396, scimark_benchmark: 1853.5413, usercpu_time_millis: 77.881, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 76.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9465, kappa: 0.8931, kb_relative_information_score: 2650.6437, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9483, predictive_accuracy: 0.9465, prior_entropy: 0.9986, recall: 0.9465, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4167, scimark_benchmark: 1781.4463, usercpu_time_millis: 81.193, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 79.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8589, kappa: 0.7173, kb_relative_information_score: 1999.4242, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8589, predictive_accuracy: 0.8589, prior_entropy: 0.9986, recall: 0.8589, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6299, scimark_benchmark: 1858.4434, usercpu_time_millis: 70.01, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 3096.5698, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1873.8757, usercpu_time_millis: 16.23, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 15.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9875, kappa: 0.9749, kb_relative_information_score: 3061.9007, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.9986, recall: 0.9875, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2004, scimark_benchmark: 1873.8757, usercpu_time_millis: 13.138, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 12.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9486, kappa: 0.897, kb_relative_information_score: 2822.5846, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.949, predictive_accuracy: 0.9487, prior_entropy: 0.9986, recall: 0.9487, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3463, scimark_benchmark: 1875.5079, usercpu_time_millis: 13.833, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 13.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8254, kappa: 0.656, kb_relative_information_score: 1812.0331, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8448, predictive_accuracy: 0.8267, prior_entropy: 0.9986, recall: 0.8267, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7167, scimark_benchmark: 1752.5683, usercpu_time_millis: 79.53, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 78.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 2889.6311, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9695, predictive_accuracy: 0.9693, prior_entropy: 0.9986, recall: 0.9693, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3112, scimark_benchmark: 1872.4881, usercpu_time_millis: 17.907, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 17.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8627, kappa: 0.725, kb_relative_information_score: 2028.3747, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8629, predictive_accuracy: 0.8626, prior_entropy: 0.9986, recall: 0.8626, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6226, scimark_benchmark: 1754.5171, usercpu_time_millis: 73.694, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 72.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.949, kappa: 0.8977, kb_relative_information_score: 2824.2625, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9493, predictive_accuracy: 0.949, prior_entropy: 0.9986, recall: 0.949, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3449, scimark_benchmark: 1872.8797, usercpu_time_millis: 13.764, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 13.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9484, kappa: 0.8968, kb_relative_information_score: 2706.4475, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9499, predictive_accuracy: 0.9484, prior_entropy: 0.9986, recall: 0.9484, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3849, scimark_benchmark: 1771.9269, usercpu_time_millis: 78.024, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 76.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2875.5321, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3173, scimark_benchmark: 1869.1727, usercpu_time_millis: 41.241, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 41.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9872, kappa: 0.9743, kb_relative_information_score: 3073.3346, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9872, predictive_accuracy: 0.9872, prior_entropy: 0.9986, recall: 0.9872, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2085, scimark_benchmark: 1869.1727, usercpu_time_millis: 76.351, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 75.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2875.1913, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3187, scimark_benchmark: 1834.3377, usercpu_time_millis: 53.697, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 53.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8933, kappa: 0.7864, kb_relative_information_score: 2327.5652, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8936, predictive_accuracy: 0.8933, prior_entropy: 0.9986, recall: 0.8933, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5443, scimark_benchmark: 1732.0579, usercpu_time_millis: 66.72, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 65.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3113.5131, mean_absolute_error: 0.0147, 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: 0.0294, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.1553, scimark_benchmark: 1859.3873, usercpu_time_millis: 11.492, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 11.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9383, kappa: 0.8763, kb_relative_information_score: 2661.3595, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9388, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4361, scimark_benchmark: 1874.3338, usercpu_time_millis: 42.18, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 41.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9521, kappa: 0.904, kb_relative_information_score: 2794.3453, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9986, recall: 0.9521, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3694, scimark_benchmark: 1877.7992, usercpu_time_millis: 16.358, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 16.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.927, kappa: 0.8547, kb_relative_information_score: 2624.9827, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9334, predictive_accuracy: 0.9271, prior_entropy: 0.9986, recall: 0.9271, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4751, scimark_benchmark: 1857.269, usercpu_time_millis: 77.227, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 76.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2957.0893, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.9986, recall: 0.9759, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.2866, scimark_benchmark: 1868.6447, usercpu_time_millis: 77.508, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 76.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2599.492, mean_absolute_error: 0.1033, 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: 0.2071, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4608, scimark_benchmark: 1872.8797, usercpu_time_millis: 33.413, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 32.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8267, kappa: 0.6584, kb_relative_information_score: 1792.7201, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8455, predictive_accuracy: 0.8279, prior_entropy: 0.9986, recall: 0.8279, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7132, scimark_benchmark: 1861.7967, usercpu_time_millis: 74.352, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 73.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9675, kappa: 0.9348, kb_relative_information_score: 2910.6754, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.9986, recall: 0.9675, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.319, scimark_benchmark: 1749.6744, usercpu_time_millis: 23.073, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 22.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9571, kappa: 0.9141, kb_relative_information_score: 2820.6587, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9986, recall: 0.9571, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.367, scimark_benchmark: 1871.8323, usercpu_time_millis: 62.969, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 62.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 3150.9306, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1031, scimark_benchmark: 1833.1938, usercpu_time_millis: 12.377, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 12.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9665, kappa: 0.933, kb_relative_information_score: 2844.0558, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9669, predictive_accuracy: 0.9665, prior_entropy: 0.9986, recall: 0.9665, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3366, scimark_benchmark: 1872.4216, usercpu_time_millis: 13.271, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 13.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 3097.6398, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1758, scimark_benchmark: 1742.798, usercpu_time_millis: 14.447, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 14.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9465, kappa: 0.8931, kb_relative_information_score: 2358.9513, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9483, predictive_accuracy: 0.9465, prior_entropy: 0.9986, recall: 0.9465, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.4627, scimark_benchmark: 1875.903, usercpu_time_millis: 78.339, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 77.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9925, kappa: 0.985, kb_relative_information_score: 3102.3803, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1695, scimark_benchmark: 1875.903, usercpu_time_millis: 11.89, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 11.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8525, kappa: 0.7085, kb_relative_information_score: 2025.3812, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8686, predictive_accuracy: 0.8533, prior_entropy: 0.9986, recall: 0.8533, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6596, scimark_benchmark: 1746.63, usercpu_time_millis: 80.476, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 79.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8211, kappa: 0.6481, kb_relative_information_score: 1785.5133, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8425, predictive_accuracy: 0.8226, prior_entropy: 0.9986, recall: 0.8226, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7201, scimark_benchmark: 2029.0217, usercpu_time_millis: 71.252, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 70.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9186, kappa: 0.8369, kb_relative_information_score: 2519.6408, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9186, predictive_accuracy: 0.9186, prior_entropy: 0.9986, recall: 0.9186, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5001, scimark_benchmark: 1872.3546, usercpu_time_millis: 53.608, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 52.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8461, kappa: 0.6923, kb_relative_information_score: 1915.5803, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8477, predictive_accuracy: 0.8461, prior_entropy: 0.9986, recall: 0.8461, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6516, scimark_benchmark: 1748.103, usercpu_time_millis: 78.538, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 77.403,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8254, kappa: 0.656, kb_relative_information_score: 1794.3704, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8448, predictive_accuracy: 0.8267, prior_entropy: 0.9986, recall: 0.8267, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7174, scimark_benchmark: 1868.3805, usercpu_time_millis: 70.06, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 69.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0181, 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: 1778.0441, usercpu_time_millis: 92.663, usercpu_time_millis_testing: 1.385, usercpu_time_millis_training: 91.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8583, kappa: 0.7161, kb_relative_information_score: 1997.6536, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8584, predictive_accuracy: 0.8583, prior_entropy: 0.9986, recall: 0.8583, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6301, scimark_benchmark: 1865.8251, usercpu_time_millis: 67.064, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 66.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.003, 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: 1841.7546, usercpu_time_millis: 83.419, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 82.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4499, f_measure: 0.3583, kb_relative_information_score: -0.0625, 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: 1865.6428, usercpu_time_millis: 85.927, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 84.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 2790.9735, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9561, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3626, scimark_benchmark: 1726.2565, usercpu_time_millis: 82.682, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 81.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9862, kappa: 0.9724, kb_relative_information_score: 3066.3144, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9986, recall: 0.9862, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2147, scimark_benchmark: 1867.5973, usercpu_time_millis: 76.851, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 75.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9333, kappa: 0.8662, kb_relative_information_score: 2535.5658, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.934, predictive_accuracy: 0.9334, prior_entropy: 0.9986, recall: 0.9334, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4742, scimark_benchmark: 1872.8797, usercpu_time_millis: 35.5, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 34.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9424, kappa: 0.885, kb_relative_information_score: 2638.7675, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.945, predictive_accuracy: 0.9424, prior_entropy: 0.9986, recall: 0.9424, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4433, scimark_benchmark: 1870.557, usercpu_time_millis: 75.712, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 74.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2597.9925, mean_absolute_error: 0.104, 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: 0.2084, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4591, scimark_benchmark: 1860.6133, usercpu_time_millis: 29.828, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 29.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8217, kappa: 0.6494, kb_relative_information_score: 1786.0786, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8434, predictive_accuracy: 0.8232, prior_entropy: 0.9986, recall: 0.8232, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7206, scimark_benchmark: 1857.3023, usercpu_time_millis: 73.748, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 72.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 2960.7675, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 0.9986, recall: 0.9765, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.284, scimark_benchmark: 1847.7526, usercpu_time_millis: 79.263, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 78.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8542, kappa: 0.708, kb_relative_information_score: 1963.9346, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8543, predictive_accuracy: 0.8542, prior_entropy: 0.9986, recall: 0.8542, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6389, scimark_benchmark: 1860.59, usercpu_time_millis: 69.646, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 68.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.909, kappa: 0.8176, kb_relative_information_score: 2418.6013, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.909, predictive_accuracy: 0.9089, prior_entropy: 0.9986, recall: 0.9089, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.52, scimark_benchmark: 1752.841, usercpu_time_millis: 60.047, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 59.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.894, kappa: 0.7876, kb_relative_information_score: 2259.2467, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8941, predictive_accuracy: 0.8939, prior_entropy: 0.9986, recall: 0.8939, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5607, scimark_benchmark: 1755.3825, usercpu_time_millis: 71.391, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 70.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9161, kappa: 0.8319, kb_relative_information_score: 2479.1791, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9161, predictive_accuracy: 0.9161, prior_entropy: 0.9986, recall: 0.9161, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5048, scimark_benchmark: 1869.1029, usercpu_time_millis: 56.714, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 55.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8265, kappa: 0.6577, kb_relative_information_score: 1802.9984, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8444, predictive_accuracy: 0.8276, prior_entropy: 0.9986, recall: 0.8276, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7162, scimark_benchmark: 1858.9953, usercpu_time_millis: 74.028, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 72.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: -0.0555, 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: 1870.1619, usercpu_time_millis: 81.465, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 80.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9787, kappa: 0.9574, kb_relative_information_score: 2998.9705, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9787, predictive_accuracy: 0.9787, prior_entropy: 0.9986, recall: 0.9787, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2641, scimark_benchmark: 1746.6289, usercpu_time_millis: 65.382, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 64.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9518, kappa: 0.9037, kb_relative_information_score: 2821.11, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9531, predictive_accuracy: 0.9518, prior_entropy: 0.9986, recall: 0.9518, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3536, scimark_benchmark: 1865.9431, usercpu_time_millis: 78.864, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 77.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8068, kappa: 0.622, kb_relative_information_score: 1735.9083, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8349, predictive_accuracy: 0.8091, prior_entropy: 0.9986, recall: 0.8091, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7412, scimark_benchmark: 1869.0217, usercpu_time_millis: 75.149, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 74.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8789, kappa: 0.7575, kb_relative_information_score: 2156.0979, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.879, predictive_accuracy: 0.8789, prior_entropy: 0.9986, recall: 0.8789, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5902, scimark_benchmark: 1860.6133, usercpu_time_millis: 66.945, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9875, kappa: 0.9749, kb_relative_information_score: 3085.2601, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.9986, recall: 0.9875, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.1984, scimark_benchmark: 1860.0853, usercpu_time_millis: 77.688, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 76.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0181, 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: 1747.9021, usercpu_time_millis: 94.515, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 93.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: -0.0555, 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: 1864.849, usercpu_time_millis: 98.132, usercpu_time_millis_testing: 1.471, usercpu_time_millis_training: 96.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4502, f_measure: 0.3583, kb_relative_information_score: 0.0181, 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: 1752.969, usercpu_time_millis: 87.136, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 85.881,
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: 1986.8046, usercpu_time_millis: 0.624, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9496, kappa: 0.899, kb_relative_information_score: 2624.4661, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9497, predictive_accuracy: 0.9496, prior_entropy: 0.9986, recall: 0.9496, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3729, scimark_benchmark: 1870.7504, usercpu_time_millis: 1.935, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9364, kappa: 0.8725, kb_relative_information_score: 1665.8732, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9369, predictive_accuracy: 0.9365, prior_entropy: 0.9986, recall: 0.9365, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6073, scimark_benchmark: 1850.5209, usercpu_time_millis: 0.8, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9603, kappa: 0.9204, kb_relative_information_score: 2692.8067, mean_absolute_error: 0.0888, 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: 0.178, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3569, scimark_benchmark: 1850.9667, usercpu_time_millis: 1.84, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.67,
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: 1801.0837, usercpu_time_millis: 0.64, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 562.252, mean_absolute_error: 0.4316, 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: 0.8648, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8737, scimark_benchmark: 1940.1295, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.518,

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