Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 19920 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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19920 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.7268, kappa: 0.581, kb_relative_information_score: 0.4891, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3312, weighted_recall: 0.7313, number_of_instances: 5456, precision: 0.805, predictive_accuracy: 0.7313, prior_entropy: 1.7146, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.7345, unweighted_recall: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8978, kappa: 0.8454, kb_relative_information_score: 0.8017, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8979, number_of_instances: 5456, precision: 0.8979, predictive_accuracy: 0.8979, prior_entropy: 1.7146, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4876, unweighted_recall: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.5457, kappa: 0.3373, kb_relative_information_score: 0.2417, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.3312, weighted_recall: 0.5867, number_of_instances: 5456, precision: 0.5243, predictive_accuracy: 0.5867, prior_entropy: 1.7146, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9083, unweighted_recall: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8777, kappa: 0.8148, kb_relative_information_score: 0.7532, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8779, number_of_instances: 5456, precision: 0.8779, predictive_accuracy: 0.8779, prior_entropy: 1.7146, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.539, unweighted_recall: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9024, kappa: 0.8524, kb_relative_information_score: 0.8269, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9027, number_of_instances: 5456, precision: 0.9025, predictive_accuracy: 0.9027, prior_entropy: 1.7146, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4718, unweighted_recall: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.715, kappa: 0.5699, kb_relative_information_score: 0.4709, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3312, weighted_recall: 0.7218, number_of_instances: 5456, precision: 0.7253, predictive_accuracy: 0.7218, prior_entropy: 1.7146, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.7802, unweighted_recall: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8608, kappa: 0.7886, kb_relative_information_score: 0.7414, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8614, number_of_instances: 5456, precision: 0.8652, predictive_accuracy: 0.8614, prior_entropy: 1.7146, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5562, unweighted_recall: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8449, kappa: 0.7645, kb_relative_information_score: 0.6881, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8455, number_of_instances: 5456, precision: 0.8458, predictive_accuracy: 0.8455, prior_entropy: 1.7146, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6019, unweighted_recall: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.915, kappa: 0.8715, kb_relative_information_score: 0.8318, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9151, number_of_instances: 5456, precision: 0.9151, predictive_accuracy: 0.9151, prior_entropy: 1.7146, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4517, unweighted_recall: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9312, kappa: 0.8961, kb_relative_information_score: 0.8694, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9313, number_of_instances: 5456, precision: 0.9312, predictive_accuracy: 0.9313, prior_entropy: 1.7146, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3995, unweighted_recall: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.7528, kappa: 0.6296, kb_relative_information_score: 0.5808, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.3312, weighted_recall: 0.7586, number_of_instances: 5456, precision: 0.7567, predictive_accuracy: 0.7586, prior_entropy: 1.7146, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.7087, unweighted_recall: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9134, kappa: 0.869, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9135, number_of_instances: 5456, precision: 0.9135, predictive_accuracy: 0.9135, prior_entropy: 1.7146, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4508, unweighted_recall: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8813, kappa: 0.8197, kb_relative_information_score: 0.6835, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8816, number_of_instances: 5456, precision: 0.8824, predictive_accuracy: 0.8816, prior_entropy: 1.7146, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.59, unweighted_recall: 0.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.6175, kappa: 0.431, kb_relative_information_score: 0.386, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6235, number_of_instances: 5456, precision: 0.6345, predictive_accuracy: 0.6235, prior_entropy: 1.7146, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.8661, unweighted_recall: 0.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.6389, kappa: 0.4547, kb_relative_information_score: 0.3713, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.3312, weighted_recall: 0.653, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.653, prior_entropy: 1.7146, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.345, root_relative_squared_error: 0.8477, unweighted_recall: 0.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8932, kappa: 0.8383, kb_relative_information_score: 0.7878, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8933, number_of_instances: 5456, precision: 0.8934, predictive_accuracy: 0.8933, prior_entropy: 1.7146, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4994, unweighted_recall: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7156, kappa: 0.5679, kb_relative_information_score: 0.5072, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3312, weighted_recall: 0.7207, number_of_instances: 5456, precision: 0.7257, predictive_accuracy: 0.7207, prior_entropy: 1.7146, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.309, root_relative_squared_error: 0.7594, unweighted_recall: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9242, kappa: 0.8856, kb_relative_information_score: 0.8553, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9243, number_of_instances: 5456, precision: 0.9243, predictive_accuracy: 0.9243, prior_entropy: 1.7146, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.4212, unweighted_recall: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.7175, kappa: 0.5705, kb_relative_information_score: 0.5102, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3312, weighted_recall: 0.722, number_of_instances: 5456, precision: 0.7271, predictive_accuracy: 0.722, prior_entropy: 1.7146, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.308, root_relative_squared_error: 0.7569, unweighted_recall: 0.6564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8978, kappa: 0.8453, kb_relative_information_score: 0.7973, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8979, number_of_instances: 5456, precision: 0.8979, predictive_accuracy: 0.8979, prior_entropy: 1.7146, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4923, unweighted_recall: 0.8878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.7777, kappa: 0.6664, kb_relative_information_score: 0.6206, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.3312, weighted_recall: 0.7824, number_of_instances: 5456, precision: 0.7805, predictive_accuracy: 0.7824, prior_entropy: 1.7146, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.6746, unweighted_recall: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9214, kappa: 0.8812, kb_relative_information_score: 0.8521, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9216, number_of_instances: 5456, precision: 0.9215, predictive_accuracy: 0.9216, prior_entropy: 1.7146, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.4288, unweighted_recall: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9246, kappa: 0.886, kb_relative_information_score: 0.8508, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9247, number_of_instances: 5456, precision: 0.9247, predictive_accuracy: 0.9247, prior_entropy: 1.7146, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.419, unweighted_recall: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8124, kappa: 0.7154, kb_relative_information_score: 0.6416, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.3312, weighted_recall: 0.814, number_of_instances: 5456, precision: 0.8153, predictive_accuracy: 0.814, prior_entropy: 1.7146, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.6436, unweighted_recall: 0.7749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8938, kappa: 0.8393, kb_relative_information_score: 0.8019, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8941, number_of_instances: 5456, precision: 0.894, predictive_accuracy: 0.8941, prior_entropy: 1.7146, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4928, unweighted_recall: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.801, kappa: 0.6994, kb_relative_information_score: 0.6519, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8026, number_of_instances: 5456, precision: 0.801, predictive_accuracy: 0.8026, prior_entropy: 1.7146, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.6595, unweighted_recall: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8272, kappa: 0.7359, kb_relative_information_score: 0.6735, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8279, number_of_instances: 5456, precision: 0.8439, predictive_accuracy: 0.8279, prior_entropy: 1.7146, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.6107, unweighted_recall: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8736, kappa: 0.808, kb_relative_information_score: 0.692, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.3312, weighted_recall: 0.8741, number_of_instances: 5456, precision: 0.8749, predictive_accuracy: 0.8741, prior_entropy: 1.7146, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5922, unweighted_recall: 0.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.687, kappa: 0.5229, kb_relative_information_score: 0.4814, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.693, number_of_instances: 5456, precision: 0.6974, predictive_accuracy: 0.693, prior_entropy: 1.7146, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.6826, kappa: 0.5168, kb_relative_information_score: 0.4873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6882, number_of_instances: 5456, precision: 0.6905, predictive_accuracy: 0.6882, prior_entropy: 1.7146, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.7884, unweighted_recall: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.6658, kappa: 0.4945, kb_relative_information_score: 0.4484, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6778, number_of_instances: 5456, precision: 0.6817, predictive_accuracy: 0.6778, prior_entropy: 1.7146, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8004, unweighted_recall: 0.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.6672, kappa: 0.4962, kb_relative_information_score: 0.4476, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6785, number_of_instances: 5456, precision: 0.6821, predictive_accuracy: 0.6785, prior_entropy: 1.7146, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7991, unweighted_recall: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.6868, kappa: 0.5226, kb_relative_information_score: 0.4813, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6928, number_of_instances: 5456, precision: 0.6972, predictive_accuracy: 0.6928, prior_entropy: 1.7146, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.687, kappa: 0.5229, kb_relative_information_score: 0.4814, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.693, number_of_instances: 5456, precision: 0.6974, predictive_accuracy: 0.693, prior_entropy: 1.7146, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.6856, kappa: 0.521, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6919, number_of_instances: 5456, precision: 0.6961, predictive_accuracy: 0.6919, prior_entropy: 1.7146, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.7836, unweighted_recall: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.687, kappa: 0.5229, kb_relative_information_score: 0.4814, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.693, number_of_instances: 5456, precision: 0.6974, predictive_accuracy: 0.693, prior_entropy: 1.7146, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7038, kappa: 0.5507, kb_relative_information_score: 0.5116, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.3312, weighted_recall: 0.7053, number_of_instances: 5456, precision: 0.7064, predictive_accuracy: 0.7053, prior_entropy: 1.7146, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.7668, unweighted_recall: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7001, kappa: 0.5449, kb_relative_information_score: 0.505, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3312, weighted_recall: 0.7023, number_of_instances: 5456, precision: 0.7029, predictive_accuracy: 0.7023, prior_entropy: 1.7146, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.7698, unweighted_recall: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.6593, kappa: 0.4855, kb_relative_information_score: 0.4222, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6719, number_of_instances: 5456, precision: 0.6746, predictive_accuracy: 0.6719, prior_entropy: 1.7146, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8083, unweighted_recall: 0.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.6867, kappa: 0.5245, kb_relative_information_score: 0.478, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6919, number_of_instances: 5456, precision: 0.6926, predictive_accuracy: 0.6919, prior_entropy: 1.7146, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7846, unweighted_recall: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.687, kappa: 0.5229, kb_relative_information_score: 0.4814, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.693, number_of_instances: 5456, precision: 0.6974, predictive_accuracy: 0.693, prior_entropy: 1.7146, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.6826, kappa: 0.5168, kb_relative_information_score: 0.4873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6882, number_of_instances: 5456, precision: 0.6905, predictive_accuracy: 0.6882, prior_entropy: 1.7146, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.7884, unweighted_recall: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.6861, kappa: 0.5216, kb_relative_information_score: 0.4808, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6923, number_of_instances: 5456, precision: 0.6966, predictive_accuracy: 0.6923, prior_entropy: 1.7146, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7833, unweighted_recall: 0.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.6868, kappa: 0.5226, kb_relative_information_score: 0.4813, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6928, number_of_instances: 5456, precision: 0.6972, predictive_accuracy: 0.6928, prior_entropy: 1.7146, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.6856, kappa: 0.521, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6919, number_of_instances: 5456, precision: 0.6961, predictive_accuracy: 0.6919, prior_entropy: 1.7146, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.7836, unweighted_recall: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.6861, kappa: 0.5216, kb_relative_information_score: 0.4808, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6923, number_of_instances: 5456, precision: 0.6966, predictive_accuracy: 0.6923, prior_entropy: 1.7146, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7833, unweighted_recall: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,

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