Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 24872 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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24872 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, kappa: 0.1935, kb_relative_information_score: 0.1955, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3748, weighted_recall: 0.3901, number_of_instances: 846, predictive_accuracy: 0.3901, prior_entropy: 1.9991, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9526, unweighted_recall: 0.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.4274, kappa: 0.2821, kb_relative_information_score: 0.348, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3748, weighted_recall: 0.4574, number_of_instances: 846, precision: 0.521, predictive_accuracy: 0.4574, prior_entropy: 1.9991, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0622, unweighted_recall: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.446, kappa: 0.2723, kb_relative_information_score: 0.2945, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.3748, weighted_recall: 0.4551, number_of_instances: 846, precision: 0.4513, predictive_accuracy: 0.4551, prior_entropy: 1.9991, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.985, unweighted_recall: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.6907, kappa: 0.6174, kb_relative_information_score: 0.5376, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7128, number_of_instances: 846, precision: 0.6903, predictive_accuracy: 0.7128, prior_entropy: 1.9991, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6959, unweighted_recall: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.708, kappa: 0.612, kb_relative_information_score: 0.6496, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7092, number_of_instances: 846, precision: 0.7079, predictive_accuracy: 0.7092, prior_entropy: 1.9991, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8808, unweighted_recall: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.7542, kappa: 0.68, kb_relative_information_score: 0.6568, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.3748, weighted_recall: 0.76, number_of_instances: 846, precision: 0.7513, predictive_accuracy: 0.76, prior_entropy: 1.9991, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.6314, unweighted_recall: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.748, kappa: 0.6674, kb_relative_information_score: 0.6454, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7506, number_of_instances: 846, precision: 0.7458, predictive_accuracy: 0.7506, prior_entropy: 1.9991, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.6645, unweighted_recall: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kappa: -0.0029, kb_relative_information_score: 0.0003, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, weighted_recall: 0.2553, number_of_instances: 846, predictive_accuracy: 0.2553, prior_entropy: 1.9991, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, unweighted_recall: 0.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.7128, kappa: 0.6234, kb_relative_information_score: 0.6338, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7175, number_of_instances: 846, precision: 0.7096, predictive_accuracy: 0.7175, prior_entropy: 1.9991, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6827, unweighted_recall: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.764, kappa: 0.6911, kb_relative_information_score: 0.6608, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7683, number_of_instances: 846, precision: 0.7611, predictive_accuracy: 0.7683, prior_entropy: 1.9991, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.6263, unweighted_recall: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.7196, kappa: 0.6376, kb_relative_information_score: 0.633, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7281, number_of_instances: 846, precision: 0.7156, predictive_accuracy: 0.7281, prior_entropy: 1.9991, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.6773, unweighted_recall: 0.7318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kappa: -0.0029, kb_relative_information_score: 0.0003, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, weighted_recall: 0.2553, number_of_instances: 846, predictive_accuracy: 0.2553, prior_entropy: 1.9991, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, unweighted_recall: 0.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.734, kappa: 0.6565, kb_relative_information_score: 0.6414, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7423, number_of_instances: 846, precision: 0.7285, predictive_accuracy: 0.7423, prior_entropy: 1.9991, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.669, unweighted_recall: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.7578, kappa: 0.68, kb_relative_information_score: 0.7013, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3748, weighted_recall: 0.76, number_of_instances: 846, precision: 0.7559, predictive_accuracy: 0.76, prior_entropy: 1.9991, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.6269, unweighted_recall: 0.7628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7015, kappa: 0.6026, kb_relative_information_score: 0.6411, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7021, number_of_instances: 846, precision: 0.7017, predictive_accuracy: 0.7021, prior_entropy: 1.9991, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8914, unweighted_recall: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 0.1482, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, weighted_recall: 0.2979, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, unweighted_recall: 0.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.7453, kappa: 0.6675, kb_relative_information_score: 0.646, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7506, number_of_instances: 846, precision: 0.7419, predictive_accuracy: 0.7506, prior_entropy: 1.9991, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6594, unweighted_recall: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7911, kappa: 0.7257, kb_relative_information_score: 0.6901, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7943, number_of_instances: 846, precision: 0.7888, predictive_accuracy: 0.7943, prior_entropy: 1.9991, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.6058, unweighted_recall: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7459, kappa: 0.6754, kb_relative_information_score: 0.5226, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7565, number_of_instances: 846, precision: 0.7426, predictive_accuracy: 0.7565, prior_entropy: 1.9991, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.7064, unweighted_recall: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7877, kappa: 0.7225, kb_relative_information_score: 0.6836, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.3748, weighted_recall: 0.792, number_of_instances: 846, precision: 0.7847, predictive_accuracy: 0.792, prior_entropy: 1.9991, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.6072, unweighted_recall: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7979, kappa: 0.7336, kb_relative_information_score: 0.7298, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.3748, weighted_recall: 0.8002, number_of_instances: 846, precision: 0.796, predictive_accuracy: 0.8002, prior_entropy: 1.9991, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5821, unweighted_recall: 0.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.743, kappa: 0.6691, kb_relative_information_score: 0.5574, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7518, number_of_instances: 846, precision: 0.7394, predictive_accuracy: 0.7518, prior_entropy: 1.9991, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.298, root_relative_squared_error: 0.6883, unweighted_recall: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7941, kappa: 0.7288, kb_relative_information_score: 0.6986, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7967, number_of_instances: 846, precision: 0.7926, predictive_accuracy: 0.7967, prior_entropy: 1.9991, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6067, unweighted_recall: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.7872, kappa: 0.721, kb_relative_information_score: 0.6845, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7908, number_of_instances: 846, precision: 0.7846, predictive_accuracy: 0.7908, prior_entropy: 1.9991, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.6124, unweighted_recall: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7911, kappa: 0.7257, kb_relative_information_score: 0.6901, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7943, number_of_instances: 846, precision: 0.7888, predictive_accuracy: 0.7943, prior_entropy: 1.9991, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.6058, unweighted_recall: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.79, kappa: 0.7241, kb_relative_information_score: 0.6977, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7931, number_of_instances: 846, precision: 0.7878, predictive_accuracy: 0.7931, prior_entropy: 1.9991, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6068, unweighted_recall: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.6563, kappa: 0.5721, kb_relative_information_score: 0.2444, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6785, number_of_instances: 846, precision: 0.6688, predictive_accuracy: 0.6785, prior_entropy: 1.9991, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8836, unweighted_recall: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7332, kappa: 0.6597, kb_relative_information_score: 0.5055, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7447, number_of_instances: 846, precision: 0.7304, predictive_accuracy: 0.7447, prior_entropy: 1.9991, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.7221, unweighted_recall: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7459, kappa: 0.6754, kb_relative_information_score: 0.5226, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7565, number_of_instances: 846, precision: 0.7426, predictive_accuracy: 0.7565, prior_entropy: 1.9991, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.7064, unweighted_recall: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.7928, kappa: 0.7272, kb_relative_information_score: 0.6983, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7955, number_of_instances: 846, precision: 0.7914, predictive_accuracy: 0.7955, prior_entropy: 1.9991, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.6064, unweighted_recall: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7689, kappa: 0.7005, kb_relative_information_score: 0.6285, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7754, number_of_instances: 846, precision: 0.766, predictive_accuracy: 0.7754, prior_entropy: 1.9991, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6358, unweighted_recall: 0.7781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7777, kappa: 0.7083, kb_relative_information_score: 0.706, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7813, number_of_instances: 846, precision: 0.7753, predictive_accuracy: 0.7813, prior_entropy: 1.9991, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.6059, unweighted_recall: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7912, kappa: 0.7257, kb_relative_information_score: 0.696, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7943, number_of_instances: 846, precision: 0.7892, predictive_accuracy: 0.7943, prior_entropy: 1.9991, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.6057, unweighted_recall: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7941, kappa: 0.7288, kb_relative_information_score: 0.6986, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7967, number_of_instances: 846, precision: 0.7926, predictive_accuracy: 0.7967, prior_entropy: 1.9991, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6067, unweighted_recall: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.7716, kappa: 0.7036, kb_relative_information_score: 0.6339, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7778, number_of_instances: 846, precision: 0.7689, predictive_accuracy: 0.7778, prior_entropy: 1.9991, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6335, unweighted_recall: 0.7804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.5426, kappa: 0.4101, kb_relative_information_score: 0.1177, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.3748, weighted_recall: 0.5567, number_of_instances: 846, precision: 0.5592, predictive_accuracy: 0.5567, prior_entropy: 1.9991, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9527, unweighted_recall: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7877, kappa: 0.7225, kb_relative_information_score: 0.6836, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.3748, weighted_recall: 0.792, number_of_instances: 846, precision: 0.7847, predictive_accuracy: 0.792, prior_entropy: 1.9991, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.6072, unweighted_recall: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.6719, kappa: 0.5892, kb_relative_information_score: 0.3005, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6915, number_of_instances: 846, precision: 0.6797, predictive_accuracy: 0.6915, prior_entropy: 1.9991, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.8576, unweighted_recall: 0.6955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7941, kappa: 0.7288, kb_relative_information_score: 0.6986, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7967, number_of_instances: 846, precision: 0.7926, predictive_accuracy: 0.7967, prior_entropy: 1.9991, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6067, unweighted_recall: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7979, kappa: 0.7336, kb_relative_information_score: 0.7298, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.3748, weighted_recall: 0.8002, number_of_instances: 846, precision: 0.796, predictive_accuracy: 0.8002, prior_entropy: 1.9991, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5821, unweighted_recall: 0.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7846, kappa: 0.7178, kb_relative_information_score: 0.6789, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7884, number_of_instances: 846, precision: 0.782, predictive_accuracy: 0.7884, prior_entropy: 1.9991, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.6097, unweighted_recall: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.6867, kappa: 0.6049, kb_relative_information_score: 0.3442, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7033, number_of_instances: 846, precision: 0.6915, predictive_accuracy: 0.7033, prior_entropy: 1.9991, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8305, unweighted_recall: 0.707,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7928, kappa: 0.7272, kb_relative_information_score: 0.6986, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7955, number_of_instances: 846, precision: 0.7914, predictive_accuracy: 0.7955, prior_entropy: 1.9991, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6067, unweighted_recall: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7928, kappa: 0.7272, kb_relative_information_score: 0.6986, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7955, number_of_instances: 846, precision: 0.7914, predictive_accuracy: 0.7955, prior_entropy: 1.9991, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6067, unweighted_recall: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.5426, kappa: 0.4101, kb_relative_information_score: 0.1177, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.3748, weighted_recall: 0.5567, number_of_instances: 846, precision: 0.5592, predictive_accuracy: 0.5567, prior_entropy: 1.9991, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9527, unweighted_recall: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.7859, kappa: 0.7194, kb_relative_information_score: 0.6844, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7896, number_of_instances: 846, precision: 0.7832, predictive_accuracy: 0.7896, prior_entropy: 1.9991, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.615, unweighted_recall: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7928, kappa: 0.7272, kb_relative_information_score: 0.6986, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7955, number_of_instances: 846, precision: 0.7914, predictive_accuracy: 0.7955, prior_entropy: 1.9991, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6067, unweighted_recall: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7701, kappa: 0.7021, kb_relative_information_score: 0.6276, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7766, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364, unweighted_recall: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.7872, kappa: 0.7194, kb_relative_information_score: 0.6999, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7896, number_of_instances: 846, precision: 0.7853, predictive_accuracy: 0.7896, prior_entropy: 1.9991, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.6134, unweighted_recall: 0.7922,

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