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: 0.9901, f_measure: 0.9483, kappa: 0.8964, kb_relative_information_score: 2818.4971, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9486, predictive_accuracy: 0.9484, prior_entropy: 0.9986, recall: 0.9484, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3505, scimark_benchmark: 1869.1727, usercpu_time_millis: 14.283, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 14.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9684, kappa: 0.9367, kb_relative_information_score: 2883.38, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3136, scimark_benchmark: 1870.9768, usercpu_time_millis: 17.768, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 17.614,
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: 1869.1727, usercpu_time_millis: 86.942, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 85.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3583, kb_relative_information_score: 0.876, mean_absolute_error: 0.4989, 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: 0.9998, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1749.2121, usercpu_time_millis: 90.995, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 89.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 3154.4455, mean_absolute_error: 0.0075, 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: 0.0151, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1057, scimark_benchmark: 1868.5777, usercpu_time_millis: 13.661, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 13.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2873.7932, mean_absolute_error: 0.0554, 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: 0.1111, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.319, scimark_benchmark: 1874.5188, usercpu_time_millis: 45.015, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 44.882,
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: 1731.5608, usercpu_time_millis: 103.276, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 101.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2875.275, 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: 0.1103, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3201, scimark_benchmark: 1871.576, usercpu_time_millis: 83.786, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 83.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8292, kappa: 0.6635, kb_relative_information_score: 1820.2778, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8489, predictive_accuracy: 0.8304, prior_entropy: 0.9986, recall: 0.8304, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7107, scimark_benchmark: 1745.2573, usercpu_time_millis: 78.957, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 77.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 2886.2551, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.313, scimark_benchmark: 1932.3077, usercpu_time_millis: 18.097, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 17.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8321, kappa: 0.6689, kb_relative_information_score: 1824.8467, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8505, predictive_accuracy: 0.8332, prior_entropy: 0.9986, recall: 0.8332, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7068, scimark_benchmark: 1849.267, usercpu_time_millis: 75.929, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 74.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3137.8751, mean_absolute_error: 0.0104, 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: 0.0208, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 1872.7717, usercpu_time_millis: 12.239, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 12.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 3151.3587, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9986, recall: 0.9978, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.1065, scimark_benchmark: 1863.2738, usercpu_time_millis: 12.158, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 11.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 3149.6239, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1122, scimark_benchmark: 1756.6423, usercpu_time_millis: 13.097, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 12.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4501, 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: 1875.903, usercpu_time_millis: 74.119, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 73.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8752, kappa: 0.75, kb_relative_information_score: 2141.8397, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8753, predictive_accuracy: 0.8752, prior_entropy: 0.9986, recall: 0.8752, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5892, scimark_benchmark: 1871.0879, usercpu_time_millis: 64.067, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 63.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9171, kappa: 0.8338, kb_relative_information_score: 2529.087, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9171, predictive_accuracy: 0.9171, prior_entropy: 0.9986, recall: 0.9171, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.505, scimark_benchmark: 1873.8757, usercpu_time_millis: 48.056, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 47.252,
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: 1764.5633, usercpu_time_millis: 90.693, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 89.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9484, kappa: 0.8965, kb_relative_information_score: 2753.7658, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9485, predictive_accuracy: 0.9484, prior_entropy: 0.9986, recall: 0.9484, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.388, scimark_benchmark: 1859.5455, usercpu_time_millis: 16.919, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 16.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2951, f_measure: 0.3583, kb_relative_information_score: -0.3363, mean_absolute_error: 0.4991, 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: 1.0001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0001, scimark_benchmark: 1871.0879, usercpu_time_millis: 83.962, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 82.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9083, kappa: 0.8164, kb_relative_information_score: 2427.6797, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9084, predictive_accuracy: 0.9083, prior_entropy: 0.9986, recall: 0.9083, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5276, scimark_benchmark: 1866.8113, usercpu_time_millis: 40.503, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 39.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 3062.0102, mean_absolute_error: 0.0228, 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: 0.0458, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2054, scimark_benchmark: 1859.7133, usercpu_time_millis: 17.509, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 17.249,
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: 1746.63, usercpu_time_millis: 87.285, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 85.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 2906.0139, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3208, scimark_benchmark: 1873.3476, usercpu_time_millis: 22.617, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 22.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8521, kappa: 0.7037, kb_relative_information_score: 1940.4194, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8523, predictive_accuracy: 0.852, prior_entropy: 0.9986, recall: 0.852, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6444, scimark_benchmark: 1869.6309, usercpu_time_millis: 71.008, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 69.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 3044.6639, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9986, recall: 0.984, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.2299, scimark_benchmark: 1869.5708, usercpu_time_millis: 76.418, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 75.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9675, kappa: 0.9349, kb_relative_information_score: 2854.0465, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9679, predictive_accuracy: 0.9675, prior_entropy: 0.9986, recall: 0.9675, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3392, scimark_benchmark: 1755.0172, usercpu_time_millis: 13.855, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 13.644,
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: 1836.9231, usercpu_time_millis: 88.891, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 87.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8586, kappa: 0.7167, kb_relative_information_score: 1998.2338, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8586, predictive_accuracy: 0.8586, prior_entropy: 0.9986, recall: 0.8586, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6299, scimark_benchmark: 1874.5188, usercpu_time_millis: 69.114, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 68.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8251, kappa: 0.6554, kb_relative_information_score: 1810.5181, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8445, predictive_accuracy: 0.8263, prior_entropy: 0.9986, recall: 0.8263, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.718, scimark_benchmark: 1877.6841, usercpu_time_millis: 73.375, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 72.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3115.9192, mean_absolute_error: 0.0141, 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: 0.0283, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.1585, scimark_benchmark: 1751.2522, usercpu_time_millis: 14.57, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 14.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8843, kappa: 0.7681, kb_relative_information_score: 2191.1461, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8844, predictive_accuracy: 0.8842, prior_entropy: 0.9986, recall: 0.8842, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5761, scimark_benchmark: 1859.5791, usercpu_time_millis: 68.481, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 67.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9161, kappa: 0.8319, kb_relative_information_score: 2507.8966, mean_absolute_error: 0.1149, 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: 0.2303, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5057, scimark_benchmark: 1870.557, usercpu_time_millis: 51.889, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 51.182,
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: 1751.6968, usercpu_time_millis: 90.397, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 89.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9165, kappa: 0.8326, kb_relative_information_score: 2494.7208, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9165, predictive_accuracy: 0.9165, prior_entropy: 0.9986, recall: 0.9165, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5072, scimark_benchmark: 1868.6447, usercpu_time_millis: 52.929, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 52.156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9308, kappa: 0.8612, kb_relative_information_score: 2612.788, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9311, predictive_accuracy: 0.9309, prior_entropy: 0.9986, recall: 0.9309, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4543, scimark_benchmark: 1760.9156, usercpu_time_millis: 42.026, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 41.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3139.8752, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.1268, scimark_benchmark: 1870.0988, usercpu_time_millis: 12.087, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 11.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9521, kappa: 0.904, kb_relative_information_score: 2812.483, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 0.9986, recall: 0.9521, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3579, scimark_benchmark: 1855.3931, usercpu_time_millis: 15.379, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 15.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9405, kappa: 0.8807, kb_relative_information_score: 2683.4819, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9409, predictive_accuracy: 0.9406, prior_entropy: 0.9986, recall: 0.9406, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4273, scimark_benchmark: 1873.3476, usercpu_time_millis: 42.941, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 42.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8937, kappa: 0.787, kb_relative_information_score: 2334.7811, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8938, predictive_accuracy: 0.8936, prior_entropy: 0.9986, recall: 0.8936, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5426, scimark_benchmark: 1842.8515, usercpu_time_millis: 61.076, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 60.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 2869.8296, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9682, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3219, scimark_benchmark: 1872.546, usercpu_time_millis: 14.896, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 14.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8602, kappa: 0.7202, kb_relative_information_score: 1999.5624, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.861, predictive_accuracy: 0.8601, prior_entropy: 0.9986, recall: 0.8601, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6315, scimark_benchmark: 1792.4836, usercpu_time_millis: 74.234, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 73.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3140.8158, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1208, scimark_benchmark: 1871.4425, usercpu_time_millis: 11.113, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 10.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8271, kappa: 0.659, kb_relative_information_score: 1799.3901, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8453, predictive_accuracy: 0.8282, prior_entropy: 0.9986, recall: 0.8282, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7158, scimark_benchmark: 1867.0928, usercpu_time_millis: 76.74, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 75.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 3063.6958, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.216, scimark_benchmark: 1750.3868, usercpu_time_millis: 83.223, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 82.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9756, kappa: 0.9511, kb_relative_information_score: 2975.3447, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 0.9986, recall: 0.9756, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2745, scimark_benchmark: 1749.6744, usercpu_time_millis: 85.044, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 83.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8247, kappa: 0.6548, kb_relative_information_score: 1807.7913, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8443, predictive_accuracy: 0.826, prior_entropy: 0.9986, recall: 0.826, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7177, scimark_benchmark: 1794.0031, usercpu_time_millis: 75.728, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 74.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9665, kappa: 0.933, kb_relative_information_score: 2846.5521, mean_absolute_error: 0.0603, 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: 0.1208, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3341, scimark_benchmark: 1879.6465, usercpu_time_millis: 13.395, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 13.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9183, kappa: 0.8363, kb_relative_information_score: 2487.2308, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9184, predictive_accuracy: 0.9183, prior_entropy: 0.9986, recall: 0.9183, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.491, scimark_benchmark: 1843.7682, usercpu_time_millis: 36.276, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 35.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3141.0524, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1201, scimark_benchmark: 1118.0018, usercpu_time_millis: 16.652, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 16.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9543, kappa: 0.9084, kb_relative_information_score: 2805.7945, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9544, predictive_accuracy: 0.9543, prior_entropy: 0.9986, recall: 0.9543, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3689, scimark_benchmark: 1871.5565, usercpu_time_millis: 26.456, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 26.077,
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: 1792.7668, usercpu_time_millis: 83.181, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 81.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2590.1097, mean_absolute_error: 0.1049, 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: 0.2103, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4619, scimark_benchmark: 1876.1315, usercpu_time_millis: 32.8, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 32.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8217, kappa: 0.6494, kb_relative_information_score: 1787.0993, mean_absolute_error: 0.229, 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: 0.4589, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7204, scimark_benchmark: 1878.1423, usercpu_time_millis: 75.391, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 74.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9853, kappa: 0.9705, kb_relative_information_score: 3054.7418, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 0.9986, recall: 0.9853, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2126, scimark_benchmark: 1874.9168, usercpu_time_millis: 13.694, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 13.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8452, kappa: 0.6906, kb_relative_information_score: 1895.7656, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8473, predictive_accuracy: 0.8451, prior_entropy: 0.9986, recall: 0.8451, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6558, scimark_benchmark: 1751.1352, usercpu_time_millis: 77.907, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 76.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.969, kappa: 0.938, kb_relative_information_score: 2872.4596, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 0.9986, recall: 0.969, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3204, scimark_benchmark: 1753.6457, usercpu_time_millis: 15.675, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 15.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3146.4577, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1224, scimark_benchmark: 1873.3476, usercpu_time_millis: 12.709, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 12.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9146, kappa: 0.8288, kb_relative_information_score: 2503.3635, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9146, predictive_accuracy: 0.9146, prior_entropy: 0.9986, recall: 0.9146, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5125, scimark_benchmark: 1755.0172, usercpu_time_millis: 52.832, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 51.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2582.5112, mean_absolute_error: 0.107, 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: 0.2145, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.232, root_relative_squared_error: 0.4645, scimark_benchmark: 1874.5188, usercpu_time_millis: 26.397, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 26.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9399, kappa: 0.8794, kb_relative_information_score: 2676.3253, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9404, predictive_accuracy: 0.9399, prior_entropy: 0.9986, recall: 0.9399, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4301, scimark_benchmark: 1872.9496, usercpu_time_millis: 40.229, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 39.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9342, kappa: 0.8682, kb_relative_information_score: 2638.6391, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9345, predictive_accuracy: 0.9343, prior_entropy: 0.9986, recall: 0.9343, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4479, scimark_benchmark: 1850.6063, usercpu_time_millis: 46.596, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 45.804,
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: 1751.1967, usercpu_time_millis: 90.453, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 89.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9697, kappa: 0.9392, kb_relative_information_score: 2884.4931, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9698, predictive_accuracy: 0.9697, prior_entropy: 0.9986, recall: 0.9697, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3141, scimark_benchmark: 1872.7767, usercpu_time_millis: 16.902, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 16.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9062, kappa: 0.812, kb_relative_information_score: 2431.3548, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9062, predictive_accuracy: 0.9061, prior_entropy: 0.9986, recall: 0.9061, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5336, scimark_benchmark: 1740.7346, usercpu_time_millis: 44.709, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 43.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9086, kappa: 0.817, kb_relative_information_score: 2411.9105, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9087, predictive_accuracy: 0.9086, prior_entropy: 0.9986, recall: 0.9086, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.522, scimark_benchmark: 1867.9224, usercpu_time_millis: 59.26, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 58.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.928, kappa: 0.8557, kb_relative_information_score: 2585.3766, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9281, predictive_accuracy: 0.928, prior_entropy: 0.9986, recall: 0.928, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4727, scimark_benchmark: 1873.8757, usercpu_time_millis: 56.199, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 55.285,

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