OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 146820 Supervised Classification wilt 10966 runs submitted
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10966 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, kb_relative_information_score: -0.8238, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9852, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.9782, kappa: 0.7847, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9783, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9783, prior_entropy: 0.3029, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.6521, unweighted_recall: 0.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.91, kappa: 0.3034, kb_relative_information_score: -2.7205, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.1022, weighted_recall: 0.893, number_of_instances: 4839, precision: 0.934, predictive_accuracy: 0.893, prior_entropy: 0.3029, relative_absolute_error: 1.6906, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2752, root_relative_squared_error: 1.2184, unweighted_recall: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.7578, kappa: 0.0711, kb_relative_information_score: -3.7218, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.1022, weighted_recall: 0.6665, number_of_instances: 4839, precision: 0.9183, predictive_accuracy: 0.6665, prior_entropy: 0.3029, relative_absolute_error: 3.263, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.5775, root_relative_squared_error: 2.5567, unweighted_recall: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9789, kappa: 0.7927, kb_relative_information_score: 0.7016, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9789, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9789, prior_entropy: 0.3029, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6427, unweighted_recall: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9848, kappa: 0.8459, kb_relative_information_score: 0.5482, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9853, number_of_instances: 4839, precision: 0.9848, predictive_accuracy: 0.9853, prior_entropy: 0.3029, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.486, unweighted_recall: 0.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.9238, kappa: 0.0565, kb_relative_information_score: -0.2648, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9477, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9477, prior_entropy: 0.3029, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2274, root_relative_squared_error: 1.0068, unweighted_recall: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9842, kappa: 0.841, kb_relative_information_score: 0.7211, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9847, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3029, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4856, unweighted_recall: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9851, kappa: 0.849, kb_relative_information_score: 0.5924, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9855, number_of_instances: 4839, precision: 0.9851, predictive_accuracy: 0.9855, prior_entropy: 0.3029, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4734, unweighted_recall: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9825, kappa: 0.8208, kb_relative_information_score: 0.6003, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9833, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3029, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4734, unweighted_recall: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.91, kappa: 0.3034, kb_relative_information_score: -2.7205, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.1022, weighted_recall: 0.893, number_of_instances: 4839, precision: 0.934, predictive_accuracy: 0.893, prior_entropy: 0.3029, relative_absolute_error: 1.6906, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2752, root_relative_squared_error: 1.2184, unweighted_recall: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.9233, kappa: 0.0496, kb_relative_information_score: 0.0975, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9475, number_of_instances: 4839, precision: 0.9503, predictive_accuracy: 0.9475, prior_entropy: 0.3029, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2275, root_relative_squared_error: 1.0073, unweighted_recall: 0.5134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9833, kappa: 0.8317, kb_relative_information_score: 0.7268, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9839, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3029, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4841, unweighted_recall: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.984, kappa: 0.8391, kb_relative_information_score: 0.5658, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9845, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3029, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4794, unweighted_recall: 0.8961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9873, kappa: 0.8749, kb_relative_information_score: 0.7648, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9874, number_of_instances: 4839, precision: 0.9873, predictive_accuracy: 0.9874, prior_entropy: 0.3029, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4238, unweighted_recall: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9782, kappa: 0.7862, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9783, number_of_instances: 4839, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 0.3029, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.6521, unweighted_recall: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.9238, kappa: 0.0565, kb_relative_information_score: 0.2598, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9477, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9477, prior_entropy: 0.3029, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2287, root_relative_squared_error: 1.0122, unweighted_recall: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9764, kappa: 0.7522, kb_relative_information_score: 0.4219, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9781, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.9781, prior_entropy: 0.3029, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5575, unweighted_recall: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9649, kappa: 0.6366, kb_relative_information_score: 0.3084, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9669, number_of_instances: 4839, precision: 0.9641, predictive_accuracy: 0.9669, prior_entropy: 0.3029, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6853, unweighted_recall: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3271, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, kb_relative_information_score: -2.4799, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 1.4028, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9985, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3276, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9672, kappa: 0.6656, kb_relative_information_score: 0.3498, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9686, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9686, prior_entropy: 0.3029, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.6806, unweighted_recall: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9659, kappa: 0.6486, kb_relative_information_score: 0.323, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9678, number_of_instances: 4839, precision: 0.9652, predictive_accuracy: 0.9678, prior_entropy: 0.3029, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6865, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9469, kappa: 0.3926, kb_relative_information_score: 0.0929, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9566, number_of_instances: 4839, precision: 0.95, predictive_accuracy: 0.9566, prior_entropy: 0.3029, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.7406, unweighted_recall: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, kb_relative_information_score: -0.44, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9803, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, kb_relative_information_score: -0.2975, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.9037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, kb_relative_information_score: -0.1704, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9946, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9649, kappa: 0.6366, kb_relative_information_score: 0.3084, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9669, number_of_instances: 4839, precision: 0.9641, predictive_accuracy: 0.9669, prior_entropy: 0.3029, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6853, unweighted_recall: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9648, kappa: 0.6351, kb_relative_information_score: 0.307, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9669, number_of_instances: 4839, precision: 0.9641, predictive_accuracy: 0.9669, prior_entropy: 0.3029, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.6874, unweighted_recall: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3271, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, kb_relative_information_score: -2.4799, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 1.4028, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9985, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, kb_relative_information_score: -0.2975, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.9037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9203, kappa: 0.0121, kb_relative_information_score: -0.3034, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9454, number_of_instances: 4839, precision: 0.9108, predictive_accuracy: 0.9454, prior_entropy: 0.3029, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.8669, unweighted_recall: 0.5033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3276, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0753, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.7405, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9672, kappa: 0.6656, kb_relative_information_score: 0.3498, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9686, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9686, prior_entropy: 0.3029, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.6806, unweighted_recall: 0.8064,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, kb_relative_information_score: -0.2975, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.9037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, kb_relative_information_score: -0.1704, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9946, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, kb_relative_information_score: -0.1704, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9946, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9469, kappa: 0.3926, kb_relative_information_score: 0.0929, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9566, number_of_instances: 4839, precision: 0.95, predictive_accuracy: 0.9566, prior_entropy: 0.3029, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.7406, unweighted_recall: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9643, kappa: 0.6276, kb_relative_information_score: 0.2835, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9667, number_of_instances: 4839, precision: 0.9637, predictive_accuracy: 0.9667, prior_entropy: 0.3029, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.69, unweighted_recall: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,

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