Task
Supervised Classification on car

Supervised Classification on car

Task 146821 Supervised Classification car 7180 runs submitted
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  • OpenML-CC18 study_218 study_98 study_99
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7180 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.826, kappa: 0.6276, kb_relative_information_score: 0.3838, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.229, weighted_recall: 0.8212, number_of_instances: 1728, precision: 0.8338, predictive_accuracy: 0.8212, prior_entropy: 1.2058, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.7961, unweighted_recall: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7776, kappa: 0.5033, kb_relative_information_score: 0.4452, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.229, weighted_recall: 0.798, number_of_instances: 1728, precision: 0.7803, predictive_accuracy: 0.798, prior_entropy: 1.2058, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7652, unweighted_recall: 0.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8026, kappa: 0.5699, kb_relative_information_score: 0.4923, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.229, weighted_recall: 0.8142, number_of_instances: 1728, precision: 0.8064, predictive_accuracy: 0.8142, prior_entropy: 1.2058, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7474, unweighted_recall: 0.5181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, kb_relative_information_score: 0.3519, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.7968, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, kappa: 0.6457, kb_relative_information_score: -0.527, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.229, weighted_recall: 0.8403, number_of_instances: 1728, predictive_accuracy: 0.8403, prior_entropy: 1.2058, relative_absolute_error: 1.599, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4229, root_relative_squared_error: 1.2507, unweighted_recall: 0.4453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, kb_relative_information_score: 0.0019, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.9993, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, kb_relative_information_score: 0.3172, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.8254, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.7987, kappa: 0.6022, kb_relative_information_score: 0.1675, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.229, weighted_recall: 0.783, number_of_instances: 1728, precision: 0.8558, predictive_accuracy: 0.783, prior_entropy: 1.2058, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.9054, unweighted_recall: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, kb_relative_information_score: 0.0042, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, kb_relative_information_score: 0.2298, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.304, root_relative_squared_error: 0.899, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8031, kappa: 0.5969, kb_relative_information_score: 0.3907, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.229, weighted_recall: 0.7847, number_of_instances: 1728, precision: 0.8539, predictive_accuracy: 0.7847, prior_entropy: 1.2058, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.8036, unweighted_recall: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7743, kappa: 0.5122, kb_relative_information_score: 0.4489, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.229, weighted_recall: 0.7888, number_of_instances: 1728, precision: 0.7745, predictive_accuracy: 0.7888, prior_entropy: 1.2058, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9612, unweighted_recall: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8016, kappa: 0.5649, kb_relative_information_score: 0.4844, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.229, weighted_recall: 0.8142, number_of_instances: 1728, precision: 0.8057, predictive_accuracy: 0.8142, prior_entropy: 1.2058, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.7495, unweighted_recall: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.7022, kappa: 0.3199, kb_relative_information_score: 0.3565, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.229, weighted_recall: 0.7529, number_of_instances: 1728, precision: 0.7137, predictive_accuracy: 0.7529, prior_entropy: 1.2058, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.8178, unweighted_recall: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0014, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, kb_relative_information_score: 0.0187, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.9933, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, kb_relative_information_score: 0.017, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.9928, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.7363, kappa: 0.4026, kb_relative_information_score: 0.3984, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.229, weighted_recall: 0.7714, number_of_instances: 1728, precision: 0.7403, predictive_accuracy: 0.7714, prior_entropy: 1.2058, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.7912, unweighted_recall: 0.4306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, kappa: 0.3399, kb_relative_information_score: 0.1722, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.229, weighted_recall: 0.7552, number_of_instances: 1728, predictive_accuracy: 0.7552, prior_entropy: 1.2058, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.864, unweighted_recall: 0.3243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: -0.008, kb_relative_information_score: -0.6705, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.229, weighted_recall: 0.2922, number_of_instances: 1728, predictive_accuracy: 0.2922, prior_entropy: 1.2058, relative_absolute_error: 1.9031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.5329, unweighted_recall: 0.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, kappa: 0.0348, kb_relative_information_score: 0.1369, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.229, weighted_recall: 0.6453, number_of_instances: 1728, predictive_accuracy: 0.6453, prior_entropy: 1.2058, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.2456, unweighted_recall: 0.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8587, kappa: 0.6877, kb_relative_information_score: -0.5285, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.229, weighted_recall: 0.8611, number_of_instances: 1728, precision: 0.8581, predictive_accuracy: 0.8611, prior_entropy: 1.2058, relative_absolute_error: 1.5986, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.2504, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.7979, kappa: 0.575, kb_relative_information_score: 0.448, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.229, weighted_recall: 0.798, number_of_instances: 1728, precision: 0.8138, predictive_accuracy: 0.798, prior_entropy: 1.2058, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.7742, unweighted_recall: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8114, kappa: 0.5982, kb_relative_information_score: -0.5516, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.229, weighted_recall: 0.8067, number_of_instances: 1728, precision: 0.8195, predictive_accuracy: 0.8067, prior_entropy: 1.2058, relative_absolute_error: 1.6263, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.43, root_relative_squared_error: 1.2718, unweighted_recall: 0.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4782, kappa: -0.0188, kb_relative_information_score: 0.203, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.229, weighted_recall: 0.6892, number_of_instances: 1728, predictive_accuracy: 0.6892, prior_entropy: 1.2058, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1606, unweighted_recall: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0018, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, kappa: 0.4869, kb_relative_information_score: -0.5085, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.229, weighted_recall: 0.7917, number_of_instances: 1728, predictive_accuracy: 0.7917, prior_entropy: 1.2058, relative_absolute_error: 1.5768, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.2337, unweighted_recall: 0.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2292, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 0.0011, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.6297, kappa: 0.184, kb_relative_information_score: 0.3497, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.229, weighted_recall: 0.7257, number_of_instances: 1728, precision: 0.5635, predictive_accuracy: 0.7257, prior_entropy: 1.2058, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.0953, unweighted_recall: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.7079, kappa: 0.3342, kb_relative_information_score: 0.363, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.229, weighted_recall: 0.7569, number_of_instances: 1728, precision: 0.7185, predictive_accuracy: 0.7569, prior_entropy: 1.2058, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.8135, unweighted_recall: 0.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.804, kappa: 0.5989, kb_relative_information_score: 0.3864, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.229, weighted_recall: 0.7859, number_of_instances: 1728, precision: 0.8546, predictive_accuracy: 0.7859, prior_entropy: 1.2058, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.8054, unweighted_recall: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, kb_relative_information_score: 0.0014, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.9999, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0013, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2292, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2292, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, kappa: -0.0217, kb_relative_information_score: 0.2055, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.229, weighted_recall: 0.6875, number_of_instances: 1728, predictive_accuracy: 0.6875, prior_entropy: 1.2058, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.1691, unweighted_recall: 0.2455,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2292, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2292, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, unweighted_recall: 0.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, kb_relative_information_score: 0.0031, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.7828, kappa: 0.5163, kb_relative_information_score: 0.4545, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.229, weighted_recall: 0.8015, number_of_instances: 1728, precision: 0.7856, predictive_accuracy: 0.8015, prior_entropy: 1.2058, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.7608, unweighted_recall: 0.4877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.6824, kappa: 0.3176, kb_relative_information_score: 0.1667, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.229, weighted_recall: 0.6742, number_of_instances: 1728, precision: 0.6941, predictive_accuracy: 0.6742, prior_entropy: 1.2058, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.9501, unweighted_recall: 0.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5277, kappa: 0.0704, kb_relative_information_score: 0.1255, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.229, weighted_recall: 0.6372, number_of_instances: 1728, predictive_accuracy: 0.6372, prior_entropy: 1.2058, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.2597, unweighted_recall: 0.2733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8527, kappa: 0.6711, kb_relative_information_score: 0.5945, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.229, weighted_recall: 0.8576, number_of_instances: 1728, precision: 0.8525, predictive_accuracy: 0.8576, prior_entropy: 1.2058, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.6848, unweighted_recall: 0.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, kb_relative_information_score: 0.2867, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.8397, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0031, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, unweighted_recall: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, kappa: 0.3964, kb_relative_information_score: 0.2775, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.229, weighted_recall: 0.7645, number_of_instances: 1728, predictive_accuracy: 0.7645, prior_entropy: 1.2058, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.833, unweighted_recall: 0.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.1273, kappa: 0.016, kb_relative_information_score: -0.6896, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.229, weighted_recall: 0.2431, number_of_instances: 1728, precision: 0.751, predictive_accuracy: 0.2431, prior_entropy: 1.2058, relative_absolute_error: 1.9489, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.5728, unweighted_recall: 0.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8031, kappa: 0.5708, kb_relative_information_score: 0.494, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.229, weighted_recall: 0.8142, number_of_instances: 1728, precision: 0.8077, predictive_accuracy: 0.8142, prior_entropy: 1.2058, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.747, unweighted_recall: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7523, kappa: 0.4828, kb_relative_information_score: -0.3057, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.229, weighted_recall: 0.7396, number_of_instances: 1728, precision: 0.7804, predictive_accuracy: 0.7396, prior_entropy: 1.2058, relative_absolute_error: 1.3909, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.1203, unweighted_recall: 0.6809,

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

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

OpenML APIs