Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 157600 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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157600 Runs

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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.5875, kappa: 0.2575, kb_relative_information_score: 904.5646, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7459, predictive_accuracy: 0.6405, prior_entropy: 0.9986, recall: 0.6405, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5927, root_relative_squared_error: 1.1866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9587, kappa: 0.9173, kb_relative_information_score: 2691.1856, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9588, predictive_accuracy: 0.9587, prior_entropy: 0.9986, recall: 0.9587, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3167.9145, 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: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 3108.5955, mean_absolute_error: 0.0143, 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: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2997.1161, mean_absolute_error: 0.0324, 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: 0.0649, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 2977.9003, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9809, kappa: 0.9618, kb_relative_information_score: 3055.1484, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.9986, recall: 0.9809, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2999.2675, mean_absolute_error: 0.0318, 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: 0.0637, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.2614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3133.5388, mean_absolute_error: 0.0103, 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: 0.0206, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2997.2017, mean_absolute_error: 0.0322, 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: 0.0645, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9862, kappa: 0.9724, kb_relative_information_score: 3088.7878, mean_absolute_error: 0.0173, 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: 0.0346, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.2032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9769, kappa: 0.9536, kb_relative_information_score: 2989.4338, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 0.9986, recall: 0.9768, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 3130.1945, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.1619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 3100.1477, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.1911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3139.3774, mean_absolute_error: 0.0092, 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: 0.0185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.99, kappa: 0.9799, kb_relative_information_score: 3106.1392, mean_absolute_error: 0.0148, 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: 0.0298, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9756, kappa: 0.9511, kb_relative_information_score: 3006.8309, mean_absolute_error: 0.0304, 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: 0.061, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3151.2443, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9986, recall: 0.9941, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 2985.8628, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9986, recall: 0.9743, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2995.0476, mean_absolute_error: 0.0326, 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: 0.0653, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 3014.3769, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 2977.9003, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9925, kappa: 0.985, kb_relative_information_score: 3127.3193, mean_absolute_error: 0.0113, 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: 0.0227, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.1648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 2993.9281, mean_absolute_error: 0.0328, 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: 0.0658, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 3136.1942, mean_absolute_error: 0.0096, 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: 0.0193, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.1589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2996.1977, mean_absolute_error: 0.0324, 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: 0.0648, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.989, kappa: 0.978, kb_relative_information_score: 3110.0723, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.9986, recall: 0.989, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.1829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2995.5956, mean_absolute_error: 0.0325, 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: 0.0651, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 2977.9206, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 3013.9548, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9986, recall: 0.9778, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9909, kappa: 0.9818, kb_relative_information_score: 3115.1724, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.9986, recall: 0.9909, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3140.4577, mean_absolute_error: 0.0092, 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: 0.0184, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.1454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9787, kappa: 0.9574, kb_relative_information_score: 3035.4585, mean_absolute_error: 0.0258, 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: 0.0518, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.12, root_relative_squared_error: 0.2403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9787, kappa: 0.9574, kb_relative_information_score: 3036.1354, mean_absolute_error: 0.0257, 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: 0.0515, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 3013.8933, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9986, recall: 0.9778, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.974, kappa: 0.948, kb_relative_information_score: 2992.1673, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.9986, recall: 0.974, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 3116.7227, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 3056.9286, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9986, recall: 0.9806, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9772, kappa: 0.9542, kb_relative_information_score: 3033.8426, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9986, recall: 0.9772, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9769, kappa: 0.9536, kb_relative_information_score: 2989.817, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 0.9986, recall: 0.9768, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9772, kappa: 0.9542, kb_relative_information_score: 3034.2815, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9986, recall: 0.9772, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9872, kappa: 0.9743, kb_relative_information_score: 3098.9177, mean_absolute_error: 0.0156, 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: 0.0313, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.1939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 2977.7891, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.2739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 3129.9039, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 3104.8247, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.974, kappa: 0.9479, kb_relative_information_score: 2984.3682, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.9986, recall: 0.974, relative_absolute_error: 0.0692, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2691,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 2978.4507, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.2733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9831, kappa: 0.9661, kb_relative_information_score: 3071.7456, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 0.9986, recall: 0.9831, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9831, kappa: 0.9661, kb_relative_information_score: 3069.9004, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 0.9986, recall: 0.9831, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2162,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2997.9175, mean_absolute_error: 0.032, 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: 0.0642, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 3113.2019, mean_absolute_error: 0.0132, 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: 0.0265, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1807,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 2995.2996, mean_absolute_error: 0.0326, 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: 0.0653, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9775, kappa: 0.9549, kb_relative_information_score: 3034.48, mean_absolute_error: 0.0258, 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: 0.0517, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 2992.2624, mean_absolute_error: 0.0332, 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: 0.0664, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 3105.4169, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 2992.7544, mean_absolute_error: 0.0331, 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: 0.0663, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 2993.2099, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 3011.3608, mean_absolute_error: 0.0297, 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: 0.0595, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.2549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9862, kappa: 0.9724, kb_relative_information_score: 3087.7078, mean_absolute_error: 0.0175, 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: 0.0351, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 2986.3572, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9986, recall: 0.9743, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 3108.0791, mean_absolute_error: 0.0144, 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: 0.0289, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 2996.9983, mean_absolute_error: 0.0322, 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: 0.0645, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9772, kappa: 0.9543, kb_relative_information_score: 2986.5702, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.9986, recall: 0.9772, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9772, kappa: 0.9543, kb_relative_information_score: 2986.532, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.9986, recall: 0.9772, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3133.0795, mean_absolute_error: 0.0104, 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: 0.0208, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.1602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 3099.3145, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.1914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9769, kappa: 0.9536, kb_relative_information_score: 2989.3779, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 0.9986, recall: 0.9768, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2638,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9812, kappa: 0.9624, kb_relative_information_score: 3052.837, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.9986, recall: 0.9812, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9769, kappa: 0.9536, kb_relative_information_score: 2988.266, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 0.9986, recall: 0.9768, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.132, root_relative_squared_error: 0.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9756, kappa: 0.9511, kb_relative_information_score: 3009.3543, mean_absolute_error: 0.03, 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: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 2995.7988, mean_absolute_error: 0.0325, 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: 0.0651, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.2616,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9747, kappa: 0.9492, kb_relative_information_score: 2993.4318, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.9986, recall: 0.9747, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 3014.2243, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2545,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3141.9582, mean_absolute_error: 0.0089, 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: 0.0178, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.1412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9812, kappa: 0.9624, kb_relative_information_score: 3055.85, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.9986, recall: 0.9812, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.228,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 3098.1694, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 3103.2942, mean_absolute_error: 0.015, 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: 0.0301, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.094, root_relative_squared_error: 0.1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9853, kappa: 0.9705, kb_relative_information_score: 3076.1958, mean_absolute_error: 0.0194, 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: 0.0388, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9769, kappa: 0.9536, kb_relative_information_score: 2988.3017, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 0.9986, recall: 0.9768, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.132, root_relative_squared_error: 0.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 3055.1664, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9986, recall: 0.9806, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9809, kappa: 0.9618, kb_relative_information_score: 3051.2766, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.9986, recall: 0.9809, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 3021.4939, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9765, predictive_accuracy: 0.9765, prior_entropy: 0.9986, recall: 0.9765, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9756, kappa: 0.9511, kb_relative_information_score: 3017.7731, mean_absolute_error: 0.0286, 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: 0.0573, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.125, root_relative_squared_error: 0.2502,

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