Task
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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96152 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 3107.6839, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.1646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9478, kappa: 0.8954, kb_relative_information_score: 2812.9318, mean_absolute_error: 0.0625, 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: 0.1252, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9458, kappa: 0.8914, kb_relative_information_score: 2605.2928, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9462, predictive_accuracy: 0.9459, prior_entropy: 0.9986, recall: 0.9459, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.99, kappa: 0.9799, kb_relative_information_score: 3111.3459, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9986, recall: 0.99, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9386, kappa: 0.877, kb_relative_information_score: 2570.808, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9388, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9637, kappa: 0.9272, kb_relative_information_score: 2922.7312, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.9986, recall: 0.9637, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3168.0329, mean_absolute_error: 0.0044, 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: 0.0087, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.065, root_relative_squared_error: 0.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 2394.6703, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 2034.7415, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9424, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9424, kappa: 0.8846, kb_relative_information_score: 2707.1574, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 0.9986, recall: 0.9424, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9612, kappa: 0.9223, kb_relative_information_score: 2941.3546, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9613, predictive_accuracy: 0.9612, prior_entropy: 0.9986, recall: 0.9612, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9609, kappa: 0.9215, kb_relative_information_score: 2375.7086, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9613, predictive_accuracy: 0.9609, prior_entropy: 0.9986, recall: 0.9609, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.92, kappa: 0.8396, kb_relative_information_score: 1887.279, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9218, predictive_accuracy: 0.9202, prior_entropy: 0.9986, recall: 0.9202, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7357, kappa: 0.4974, kb_relative_information_score: 1159.8178, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8331, predictive_accuracy: 0.7547, prior_entropy: 0.9986, recall: 0.7547, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3134.7126, mean_absolute_error: 0.0106, 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: 0.0212, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.1437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9593, kappa: 0.9184, kb_relative_information_score: 1819.8519, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9596, predictive_accuracy: 0.9593, prior_entropy: 0.9986, recall: 0.9593, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: -0.004, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9684, kappa: 0.9367, kb_relative_information_score: 2893.2884, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9686, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7357, kappa: 0.4974, kb_relative_information_score: 1386.6795, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8331, predictive_accuracy: 0.7547, prior_entropy: 0.9986, recall: 0.7547, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 2613.4384, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9424, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9675, kappa: 0.9348, kb_relative_information_score: 2947.2147, mean_absolute_error: 0.0403, 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: 0.0807, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9521, kappa: 0.904, kb_relative_information_score: 2889.1221, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9523, predictive_accuracy: 0.9521, prior_entropy: 0.9986, recall: 0.9521, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3147.1038, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8741, kappa: 0.7477, kb_relative_information_score: 1943.5869, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8743, predictive_accuracy: 0.8742, prior_entropy: 0.9986, recall: 0.8742, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9345, kappa: 0.8687, kb_relative_information_score: 1897.124, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9354, predictive_accuracy: 0.9346, prior_entropy: 0.9986, recall: 0.9346, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 2912.0086, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7357, kappa: 0.4974, kb_relative_information_score: 1623.525, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8331, predictive_accuracy: 0.7547, prior_entropy: 0.9986, recall: 0.7547, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 2818.9226, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9423, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8741, kappa: 0.7477, kb_relative_information_score: 1943.5869, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8743, predictive_accuracy: 0.8742, prior_entropy: 0.9986, recall: 0.8742, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8769, kappa: 0.7532, kb_relative_information_score: 1942.1211, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8772, predictive_accuracy: 0.877, prior_entropy: 0.9986, recall: 0.877, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3147.1038, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9828, kappa: 0.9655, kb_relative_information_score: 3027.4197, mean_absolute_error: 0.0291, 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: 0.0583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2162, scimark_benchmark: 1748.8663, usercpu_time_millis: 28.642, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 27.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 2992.9471, mean_absolute_error: 0.0385, 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: 0.0771, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1883, scimark_benchmark: 1762.8131, usercpu_time_millis: 27.035, usercpu_time_millis_testing: 1.906, usercpu_time_millis_training: 25.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 2383.6146, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9986, recall: 0.9762, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.3819, scimark_benchmark: 1738.6251, usercpu_time_millis: 23.978, usercpu_time_millis_testing: 2.428, usercpu_time_millis_training: 21.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.985, kappa: 0.9699, kb_relative_information_score: 2846.8425, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9986, recall: 0.985, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.2566, scimark_benchmark: 1763.6887, usercpu_time_millis: 17.998, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 16.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.964, kappa: 0.9278, kb_relative_information_score: 1686.5025, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9646, predictive_accuracy: 0.964, prior_entropy: 0.9986, recall: 0.964, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5837, scimark_benchmark: 1762.8735, usercpu_time_millis: 14.542, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 12.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2452.6437, mean_absolute_error: 0.1332, 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: 0.267, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4301, scimark_benchmark: 1763.6887, usercpu_time_millis: 14.977, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 13.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3097.9415, mean_absolute_error: 0.0179, 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: 0.0358, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.1532, scimark_benchmark: 1768.5388, usercpu_time_millis: 13.247, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 12.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3111.1898, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1459, scimark_benchmark: 1736.6556, usercpu_time_millis: 11.232, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 10.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3078.8215, mean_absolute_error: 0.0211, 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: 0.0423, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.1653, scimark_benchmark: 1751.4131, usercpu_time_millis: 8.901, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 8.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9426, kappa: 0.885, kb_relative_information_score: 2105.4701, mean_absolute_error: 0.1992, 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: 0.3991, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.24, root_relative_squared_error: 0.4804, scimark_benchmark: 1763.224, usercpu_time_millis: 7.016, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 6.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9549, kappa: 0.9095, kb_relative_information_score: 1262.3928, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9563, predictive_accuracy: 0.9549, prior_entropy: 0.9986, recall: 0.9549, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.6984, scimark_benchmark: 1763.6887, usercpu_time_millis: 6.201, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 5.598,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 3165.5041, mean_absolute_error: 0.0051, 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: 0.0103, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1034, scimark_benchmark: 1751.0572, usercpu_time_millis: 21.092, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 20.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 2813.5188, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.2974, scimark_benchmark: 1738.0391, usercpu_time_millis: 21.168, usercpu_time_millis_testing: 1.647, usercpu_time_millis_training: 19.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 1944.6151, mean_absolute_error: 0.2269, 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: 0.4547, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5318, scimark_benchmark: 1757.1949, usercpu_time_millis: 12.937, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 11.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9793, kappa: 0.9586, kb_relative_information_score: 2959.8237, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9794, predictive_accuracy: 0.9793, prior_entropy: 0.9986, recall: 0.9793, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.2557, scimark_benchmark: 1759.9334, usercpu_time_millis: 14.071, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 13.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 2922.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.2828, scimark_benchmark: 1760.9056, usercpu_time_millis: 9.967, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 9.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 2873.6293, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.2994, scimark_benchmark: 1750.0143, usercpu_time_millis: 13.049, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 12.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.964, kappa: 0.928, kb_relative_information_score: 2752.9027, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9643, predictive_accuracy: 0.964, prior_entropy: 0.9986, recall: 0.964, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3525, scimark_benchmark: 1765.4929, usercpu_time_millis: 14.015, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 12.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9492, kappa: 0.8982, kb_relative_information_score: 1338.75, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9506, predictive_accuracy: 0.9493, prior_entropy: 0.9986, recall: 0.9493, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.678, scimark_benchmark: 1759.6826, usercpu_time_millis: 12.33, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 11.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3131.4459, mean_absolute_error: 0.0114, 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: 0.0229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.1334, scimark_benchmark: 1747.1886, usercpu_time_millis: 7.172, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 6.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3097.1688, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.1566, scimark_benchmark: 1753.4243, usercpu_time_millis: 5.193, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 4.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3124.891, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.1276, scimark_benchmark: 1752.1064, usercpu_time_millis: 4.88, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 4.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9853, kappa: 0.9705, kb_relative_information_score: 2793.8913, mean_absolute_error: 0.076, 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: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.2619, scimark_benchmark: 1756.7189, usercpu_time_millis: 3.808, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 3.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1495.134, mean_absolute_error: 0.2852, 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: 0.5716, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6916, scimark_benchmark: 1759.5698, usercpu_time_millis: 2.897, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3110.595, mean_absolute_error: 0.0156, 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: 0.0312, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.1379, scimark_benchmark: 1738.499, usercpu_time_millis: 6.594, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 6.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9615, kappa: 0.9227, kb_relative_information_score: 1582.6042, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9622, predictive_accuracy: 0.9615, prior_entropy: 0.9986, recall: 0.9615, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6131, scimark_benchmark: 1757.58, usercpu_time_millis: 3.472, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 3.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9117, kappa: 0.8231, kb_relative_information_score: 654.0498, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9152, predictive_accuracy: 0.9121, prior_entropy: 0.9986, recall: 0.9121, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8508, scimark_benchmark: 1756.587, usercpu_time_millis: 1.868, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3583, kb_relative_information_score: -0.1496, 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: 1752.1774, usercpu_time_millis: 2.639, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3103.5715, mean_absolute_error: 0.0169, 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: 0.0339, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1467, scimark_benchmark: 1735.3254, usercpu_time_millis: 27.863, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 26.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3110.8579, mean_absolute_error: 0.0154, 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: 0.0308, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.07, root_relative_squared_error: 0.1402, scimark_benchmark: 1814.5271, usercpu_time_millis: 24.965, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 23.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 2985.9466, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9888, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2092, scimark_benchmark: 1740.277, usercpu_time_millis: 15.104, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 13.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2654.4728, mean_absolute_error: 0.0921, 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: 0.1845, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4136, scimark_benchmark: 1792.5266, usercpu_time_millis: 18.294, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 17.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9775, kappa: 0.9549, kb_relative_information_score: 2652.3991, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9775, predictive_accuracy: 0.9775, prior_entropy: 0.9986, recall: 0.9775, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3126, scimark_benchmark: 1737.8876, usercpu_time_millis: 16.03, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 14.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 2997.7412, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.2108, scimark_benchmark: 1745.3654, usercpu_time_millis: 15.01, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 13.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3013.9635, mean_absolute_error: 0.0341, 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: 0.0683, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.185, scimark_benchmark: 1749.9829, usercpu_time_millis: 14.994, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 14.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3031.8449, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1813, scimark_benchmark: 1742.5561, usercpu_time_millis: 11.427, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 10.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.96, kappa: 0.9199, kb_relative_information_score: 2791.3759, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 0.9986, recall: 0.96, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3449, scimark_benchmark: 1747.4929, usercpu_time_millis: 10.103, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 9.444,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs