Task
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 20028 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_7 study_98 study_99
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20028 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8474, kappa: 0.8229, kb_relative_information_score: 0.6607, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8426, number_of_instances: 1080, precision: 0.8709, predictive_accuracy: 0.8426, prior_entropy: 3.1699, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6079, unweighted_recall: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8712, kappa: 0.849, kb_relative_information_score: 0.8585, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8657, number_of_instances: 1080, precision: 0.8888, predictive_accuracy: 0.8657, prior_entropy: 3.1699, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5496, unweighted_recall: 0.8657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9362, kappa: 0.926, kb_relative_information_score: 0.9337, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9343, number_of_instances: 1080, precision: 0.9413, predictive_accuracy: 0.9343, prior_entropy: 3.1699, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3594, unweighted_recall: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4396, kappa: -0.1208, kb_relative_information_score: -0.0497, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.1975, weighted_recall: 0.0037, number_of_instances: 1080, predictive_accuracy: 0.0037, prior_entropy: 3.1699, relative_absolute_error: 1.1208, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4705, root_relative_squared_error: 1.4972, unweighted_recall: 0.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.952, kappa: 0.9458, kb_relative_information_score: 0.9345, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9534, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.2924, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8433, kappa: 0.8208, kb_relative_information_score: 0.6059, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8407, number_of_instances: 1080, precision: 0.8639, predictive_accuracy: 0.8407, prior_entropy: 3.1699, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6546, unweighted_recall: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8897, kappa: 0.875, kb_relative_information_score: 0.8828, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8889, number_of_instances: 1080, precision: 0.8952, predictive_accuracy: 0.8889, prior_entropy: 3.1699, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.156, root_relative_squared_error: 0.4964, unweighted_recall: 0.8889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8253, kappa: 0.799, kb_relative_information_score: 0.5001, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8213, number_of_instances: 1080, precision: 0.8553, predictive_accuracy: 0.8213, prior_entropy: 3.1699, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.7388, unweighted_recall: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9295, kappa: 0.9198, kb_relative_information_score: 0.9267, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9287, number_of_instances: 1080, precision: 0.9323, predictive_accuracy: 0.9287, prior_entropy: 3.1699, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3899, unweighted_recall: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, kappa: 0.35, kb_relative_information_score: 0.375, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.1975, weighted_recall: 0.4222, number_of_instances: 1080, predictive_accuracy: 0.4222, prior_entropy: 3.1699, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.9148, unweighted_recall: 0.4222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8461, kappa: 0.825, kb_relative_information_score: 0.003, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8444, number_of_instances: 1080, precision: 0.8524, predictive_accuracy: 0.8444, prior_entropy: 3.1699, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9992, unweighted_recall: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9441, kappa: 0.9365, kb_relative_information_score: 0.9435, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9435, number_of_instances: 1080, precision: 0.9462, predictive_accuracy: 0.9435, prior_entropy: 3.1699, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3342, unweighted_recall: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8497, kappa: 0.8271, kb_relative_information_score: 0.6584, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8463, number_of_instances: 1080, precision: 0.87, predictive_accuracy: 0.8463, prior_entropy: 3.1699, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6081, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0635, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.4142, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9565, kappa: 0.951, kb_relative_information_score: 0.9233, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9565, number_of_instances: 1080, precision: 0.9568, predictive_accuracy: 0.9565, prior_entropy: 3.1699, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.3312, unweighted_recall: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8766, kappa: 0.8604, kb_relative_information_score: 0.8021, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8759, number_of_instances: 1080, precision: 0.8777, predictive_accuracy: 0.8759, prior_entropy: 3.1699, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4654, unweighted_recall: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0004, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9594, kappa: 0.9542, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9593, number_of_instances: 1080, precision: 0.9604, predictive_accuracy: 0.9593, prior_entropy: 3.1699, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2731, unweighted_recall: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.7964, kappa: 0.7719, kb_relative_information_score: 0.5586, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7972, number_of_instances: 1080, precision: 0.7993, predictive_accuracy: 0.7972, prior_entropy: 3.1699, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.6923, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8418, kappa: 0.8167, kb_relative_information_score: 0.6082, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1975, weighted_recall: 0.837, number_of_instances: 1080, precision: 0.8675, predictive_accuracy: 0.837, prior_entropy: 3.1699, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.6531, unweighted_recall: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.6182, kappa: 0.5531, kb_relative_information_score: 0.001, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.6028, number_of_instances: 1080, precision: 0.6576, predictive_accuracy: 0.6028, prior_entropy: 3.1699, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.9997, unweighted_recall: 0.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8333, kappa: 0.8094, kb_relative_information_score: 0.4431, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8306, number_of_instances: 1080, precision: 0.8574, predictive_accuracy: 0.8306, prior_entropy: 3.1699, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.7831, unweighted_recall: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9011, kappa: 0.8875, kb_relative_information_score: 0.859, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9, number_of_instances: 1080, precision: 0.9068, predictive_accuracy: 0.9, prior_entropy: 3.1699, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4117, unweighted_recall: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8979, kappa: 0.8854, kb_relative_information_score: 0.5685, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8981, number_of_instances: 1080, precision: 0.9016, predictive_accuracy: 0.8981, prior_entropy: 3.1699, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.6818, unweighted_recall: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8979, kappa: 0.8854, kb_relative_information_score: 0.5685, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8981, number_of_instances: 1080, precision: 0.9016, predictive_accuracy: 0.8981, prior_entropy: 3.1699, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.6818, unweighted_recall: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0069, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.0001, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7208, kappa: 0.7135, kb_relative_information_score: 0.7317, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7454, number_of_instances: 1080, precision: 0.8147, predictive_accuracy: 0.7454, prior_entropy: 3.1699, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.7569, unweighted_recall: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0036, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0635, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.4142, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9197, kappa: 0.9073, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9176, number_of_instances: 1080, precision: 0.9258, predictive_accuracy: 0.9176, prior_entropy: 3.1699, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3985, unweighted_recall: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9075, kappa: 0.8917, kb_relative_information_score: 0.8993, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9037, number_of_instances: 1080, precision: 0.9181, predictive_accuracy: 0.9037, prior_entropy: 3.1699, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4608, unweighted_recall: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9281, kappa: 0.9188, kb_relative_information_score: 0.9239, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9278, number_of_instances: 1080, precision: 0.9328, predictive_accuracy: 0.9278, prior_entropy: 3.1699, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.4031, unweighted_recall: 0.9278,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.5091, kappa: 0.4573, kb_relative_information_score: 0.0001, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.5176, number_of_instances: 1080, precision: 0.5216, predictive_accuracy: 0.5176, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.5176,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.923, kappa: 0.9125, kb_relative_information_score: 0.9092, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9222, number_of_instances: 1080, precision: 0.9286, predictive_accuracy: 0.9222, prior_entropy: 3.1699, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3512, unweighted_recall: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8592, kappa: 0.8375, kb_relative_information_score: 0.7085, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8556, number_of_instances: 1080, precision: 0.8777, predictive_accuracy: 0.8556, prior_entropy: 3.1699, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5631, unweighted_recall: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0635, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.4142, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, kappa: 0.099, kb_relative_information_score: 0.1495, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1991, number_of_instances: 1080, predictive_accuracy: 0.1991, prior_entropy: 3.1699, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.9797, unweighted_recall: 0.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8611, kappa: 0.8396, kb_relative_information_score: 0.7113, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8574, number_of_instances: 1080, precision: 0.8793, predictive_accuracy: 0.8574, prior_entropy: 3.1699, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5605, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, kappa: 0.2865, kb_relative_information_score: 0.0053, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1975, weighted_recall: 0.3657, number_of_instances: 1080, predictive_accuracy: 0.3657, prior_entropy: 3.1699, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.9986, unweighted_recall: 0.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0447, kb_relative_information_score: 0.0069, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.0001, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,

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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From your own software

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

OpenML APIs