Task
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 34539 Supervised Classification Amazon_employee_access 21880 runs submitted
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  • OpenML100 study_123 study_14 study_218
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9334, kappa: 0.2971, kb_relative_information_score: -0.3345, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9445, number_of_instances: 32769, precision: 0.9307, predictive_accuracy: 0.9445, prior_entropy: 0.319, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.9011, unweighted_recall: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.937, kappa: 0.3572, kb_relative_information_score: -0.2794, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9445, number_of_instances: 32769, precision: 0.9337, predictive_accuracy: 0.9445, prior_entropy: 0.319, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8914, unweighted_recall: 0.6413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.9338, kappa: 0.3029, kb_relative_information_score: -0.3289, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9446, number_of_instances: 32769, precision: 0.9311, predictive_accuracy: 0.9446, prior_entropy: 0.319, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8998, unweighted_recall: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.9359, kappa: 0.3419, kb_relative_information_score: -0.2977, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9441, number_of_instances: 32769, precision: 0.9325, predictive_accuracy: 0.9441, prior_entropy: 0.319, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8932, unweighted_recall: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.9273, kappa: 0.1982, kb_relative_information_score: -0.4189, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9442, number_of_instances: 32769, precision: 0.9277, predictive_accuracy: 0.9442, prior_entropy: 0.319, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.924, unweighted_recall: 0.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.937, kappa: 0.3579, kb_relative_information_score: -0.298, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9446, number_of_instances: 32769, precision: 0.9338, predictive_accuracy: 0.9446, prior_entropy: 0.319, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8939, unweighted_recall: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.9222, kappa: 0.1277, kb_relative_information_score: -0.4785, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9423, number_of_instances: 32769, precision: 0.9212, predictive_accuracy: 0.9423, prior_entropy: 0.319, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.938, unweighted_recall: 0.5387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.9204, kappa: 0.0974, kb_relative_information_score: -0.4705, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9425, number_of_instances: 32769, precision: 0.9214, predictive_accuracy: 0.9425, prior_entropy: 0.319, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.938, unweighted_recall: 0.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.9227, kappa: 0.1312, kb_relative_information_score: -0.4835, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9429, number_of_instances: 32769, precision: 0.9232, predictive_accuracy: 0.9429, prior_entropy: 0.319, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.9347, unweighted_recall: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.9404, kappa: 0.402, kb_relative_information_score: -0.2526, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9463, number_of_instances: 32769, precision: 0.9375, predictive_accuracy: 0.9463, prior_entropy: 0.319, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8878, unweighted_recall: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.923, kappa: 0.137, kb_relative_information_score: -0.4636, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1091, weighted_recall: 0.943, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.943, prior_entropy: 0.319, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9311, unweighted_recall: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.931, kappa: 0.2606, kb_relative_information_score: -0.3607, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9438, number_of_instances: 32769, precision: 0.9285, predictive_accuracy: 0.9438, prior_entropy: 0.319, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.9102, unweighted_recall: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9326, kappa: 0.289, kb_relative_information_score: -0.3473, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9437, number_of_instances: 32769, precision: 0.9294, predictive_accuracy: 0.9437, prior_entropy: 0.319, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.9041, unweighted_recall: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.9231, kappa: 0.1376, kb_relative_information_score: -0.4583, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9431, number_of_instances: 32769, precision: 0.924, predictive_accuracy: 0.9431, prior_entropy: 0.319, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9334, unweighted_recall: 0.5416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9291, kappa: 0.2321, kb_relative_information_score: -0.3698, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9434, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9434, prior_entropy: 0.319, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.9135, unweighted_recall: 0.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.9226, kappa: 0.1307, kb_relative_information_score: -0.4424, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9428, number_of_instances: 32769, precision: 0.9228, predictive_accuracy: 0.9428, prior_entropy: 0.319, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.929, unweighted_recall: 0.5394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.9223, kappa: 0.1258, kb_relative_information_score: -0.4658, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9428, number_of_instances: 32769, precision: 0.9228, predictive_accuracy: 0.9428, prior_entropy: 0.319, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.9364, unweighted_recall: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.9357, kappa: 0.3362, kb_relative_information_score: -0.2981, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9444, number_of_instances: 32769, precision: 0.9324, predictive_accuracy: 0.9444, prior_entropy: 0.319, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8955, unweighted_recall: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.9453, kappa: 0.4751, kb_relative_information_score: -0.0928, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, weighted_recall: 0.948, number_of_instances: 32769, precision: 0.9434, predictive_accuracy: 0.948, prior_entropy: 0.319, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8789, unweighted_recall: 0.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.9232, kappa: 0.1388, kb_relative_information_score: -0.4785, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9431, number_of_instances: 32769, precision: 0.9238, predictive_accuracy: 0.9431, prior_entropy: 0.319, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9307, unweighted_recall: 0.5421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.9409, kappa: 0.4361, kb_relative_information_score: -0.0767, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9434, number_of_instances: 32769, precision: 0.939, predictive_accuracy: 0.9434, prior_entropy: 0.319, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8876, unweighted_recall: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.9227, kappa: 0.1312, kb_relative_information_score: -0.4811, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9431, number_of_instances: 32769, precision: 0.924, predictive_accuracy: 0.9431, prior_entropy: 0.319, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9335, unweighted_recall: 0.5394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.9405, kappa: 0.4039, kb_relative_information_score: -0.2409, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9463, number_of_instances: 32769, precision: 0.9376, predictive_accuracy: 0.9463, prior_entropy: 0.319, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8838, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.924, kappa: 0.1504, kb_relative_information_score: -0.466, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9432, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.9432, prior_entropy: 0.319, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9316, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.9256, kappa: 0.177, kb_relative_information_score: -0.4103, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9432, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9432, prior_entropy: 0.319, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9255, unweighted_recall: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.9239, kappa: 0.1471, kb_relative_information_score: -0.4521, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9434, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9434, prior_entropy: 0.319, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9301, unweighted_recall: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.9437, kappa: 0.4487, kb_relative_information_score: -0.1228, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9476, number_of_instances: 32769, precision: 0.9413, predictive_accuracy: 0.9476, prior_entropy: 0.319, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.876, unweighted_recall: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.9349, kappa: 0.3282, kb_relative_information_score: -0.3038, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9437, number_of_instances: 32769, precision: 0.9315, predictive_accuracy: 0.9437, prior_entropy: 0.319, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8985, unweighted_recall: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.9252, kappa: 0.1695, kb_relative_information_score: -0.451, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9433, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9433, prior_entropy: 0.319, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9298, unweighted_recall: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.9303, kappa: 0.2514, kb_relative_information_score: -0.3605, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9437, number_of_instances: 32769, precision: 0.9279, predictive_accuracy: 0.9437, prior_entropy: 0.319, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.9104, unweighted_recall: 0.5867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.9429, kappa: 0.4691, kb_relative_information_score: 0.0272, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9437, number_of_instances: 32769, precision: 0.9421, predictive_accuracy: 0.9437, prior_entropy: 0.319, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8891, unweighted_recall: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.9292, kappa: 0.2373, kb_relative_information_score: -0.3765, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9431, number_of_instances: 32769, precision: 0.9265, predictive_accuracy: 0.9431, prior_entropy: 0.319, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.9146, unweighted_recall: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.9356, kappa: 0.3358, kb_relative_information_score: -0.3049, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9443, number_of_instances: 32769, precision: 0.9323, predictive_accuracy: 0.9443, prior_entropy: 0.319, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8965, unweighted_recall: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.9226, kappa: 0.129, kb_relative_information_score: -0.468, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9431, number_of_instances: 32769, precision: 0.924, predictive_accuracy: 0.9431, prior_entropy: 0.319, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9313, unweighted_recall: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.9398, kappa: 0.4298, kb_relative_information_score: 0.0484, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9418, number_of_instances: 32769, precision: 0.9381, predictive_accuracy: 0.9418, prior_entropy: 0.319, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9342, unweighted_recall: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9313, kappa: 0.2633, kb_relative_information_score: -0.3534, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9442, number_of_instances: 32769, precision: 0.9291, predictive_accuracy: 0.9442, prior_entropy: 0.319, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9068, unweighted_recall: 0.5914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.9265, kappa: 0.1926, kb_relative_information_score: -0.4105, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9431, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9431, prior_entropy: 0.319, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9241, unweighted_recall: 0.5621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.9423, kappa: 0.4569, kb_relative_information_score: -0.0458, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9439, number_of_instances: 32769, precision: 0.941, predictive_accuracy: 0.9439, prior_entropy: 0.319, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8845, unweighted_recall: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.9413, kappa: 0.4186, kb_relative_information_score: -0.2359, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9463, number_of_instances: 32769, precision: 0.9386, predictive_accuracy: 0.9463, prior_entropy: 0.319, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.88, unweighted_recall: 0.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.9351, kappa: 0.3314, kb_relative_information_score: -0.3242, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9437, number_of_instances: 32769, precision: 0.9316, predictive_accuracy: 0.9437, prior_entropy: 0.319, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.9022, unweighted_recall: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.921, kappa: 0.107, kb_relative_information_score: -0.5144, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9424, number_of_instances: 32769, precision: 0.9211, predictive_accuracy: 0.9424, prior_entropy: 0.319, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9416, unweighted_recall: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.9425, kappa: 0.4391, kb_relative_information_score: -0.1734, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9464, number_of_instances: 32769, precision: 0.9401, predictive_accuracy: 0.9464, prior_entropy: 0.319, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8777, unweighted_recall: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.9241, kappa: 0.157, kb_relative_information_score: -0.4325, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9426, number_of_instances: 32769, precision: 0.9228, predictive_accuracy: 0.9426, prior_entropy: 0.319, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9299, unweighted_recall: 0.549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9431, kappa: 0.4673, kb_relative_information_score: -0.0096, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9444, number_of_instances: 32769, precision: 0.942, predictive_accuracy: 0.9444, prior_entropy: 0.319, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8857, unweighted_recall: 0.7236,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.922, kappa: 0.1213, kb_relative_information_score: -0.4635, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9428, number_of_instances: 32769, precision: 0.9225, predictive_accuracy: 0.9428, prior_entropy: 0.319, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.935, unweighted_recall: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.9275, kappa: 0.2034, kb_relative_information_score: -0.4084, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9438, number_of_instances: 32769, precision: 0.9269, predictive_accuracy: 0.9438, prior_entropy: 0.319, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.9219, unweighted_recall: 0.5657,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.9308, kappa: 0.2608, kb_relative_information_score: -0.3745, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9435, number_of_instances: 32769, precision: 0.9281, predictive_accuracy: 0.9435, prior_entropy: 0.319, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.9144, unweighted_recall: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.9235, kappa: 0.1435, kb_relative_information_score: -0.4727, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9432, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.9432, prior_entropy: 0.319, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9318, unweighted_recall: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.944, kappa: 0.4568, kb_relative_information_score: -0.1086, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9474, number_of_instances: 32769, precision: 0.9418, predictive_accuracy: 0.9474, prior_entropy: 0.319, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.875, unweighted_recall: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.9309, kappa: 0.255, kb_relative_information_score: -0.3751, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9444, number_of_instances: 32769, precision: 0.9291, predictive_accuracy: 0.9444, prior_entropy: 0.319, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.9144, unweighted_recall: 0.5873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.9246, kappa: 0.1684, kb_relative_information_score: -0.4292, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, precision: 0.9222, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9299, unweighted_recall: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.9313, kappa: 0.2689, kb_relative_information_score: -0.3523, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9435, number_of_instances: 32769, precision: 0.9284, predictive_accuracy: 0.9435, prior_entropy: 0.319, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9076, unweighted_recall: 0.5952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.9362, kappa: 0.3461, kb_relative_information_score: -0.2997, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9442, number_of_instances: 32769, precision: 0.9328, predictive_accuracy: 0.9442, prior_entropy: 0.319, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8947, unweighted_recall: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.9275, kappa: 0.2057, kb_relative_information_score: -0.4084, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9435, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9435, prior_entropy: 0.319, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9203, unweighted_recall: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.9263, kappa: 0.1893, kb_relative_information_score: -0.4015, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1091, weighted_recall: 0.943, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.943, prior_entropy: 0.319, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.9232, unweighted_recall: 0.5611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.9414, kappa: 0.4176, kb_relative_information_score: -0.2322, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9466, number_of_instances: 32769, precision: 0.9387, predictive_accuracy: 0.9466, prior_entropy: 0.319, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8823, unweighted_recall: 0.6755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.9416, kappa: 0.4416, kb_relative_information_score: -0.0603, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9442, number_of_instances: 32769, precision: 0.9396, predictive_accuracy: 0.9442, prior_entropy: 0.319, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8897, unweighted_recall: 0.7022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.9189, kappa: 0.0755, kb_relative_information_score: -0.5351, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9423, number_of_instances: 32769, precision: 0.9196, predictive_accuracy: 0.9423, prior_entropy: 0.319, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9494, unweighted_recall: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.9385, kappa: 0.3753, kb_relative_information_score: -0.2651, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9457, number_of_instances: 32769, precision: 0.9356, predictive_accuracy: 0.9457, prior_entropy: 0.319, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8902, unweighted_recall: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.9423, kappa: 0.4548, kb_relative_information_score: 0.1253, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9442, number_of_instances: 32769, precision: 0.9408, predictive_accuracy: 0.9442, prior_entropy: 0.319, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.9133, unweighted_recall: 0.7136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.9308, kappa: 0.2588, kb_relative_information_score: -0.3728, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9438, number_of_instances: 32769, precision: 0.9283, predictive_accuracy: 0.9438, prior_entropy: 0.319, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.9117, unweighted_recall: 0.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.9309, kappa: 0.2591, kb_relative_information_score: -0.3546, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1091, weighted_recall: 0.944, number_of_instances: 32769, precision: 0.9286, predictive_accuracy: 0.944, prior_entropy: 0.319, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.9102, unweighted_recall: 0.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.9273, kappa: 0.1993, kb_relative_information_score: -0.4279, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, weighted_recall: 0.944, number_of_instances: 32769, precision: 0.9273, predictive_accuracy: 0.944, prior_entropy: 0.319, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9256, unweighted_recall: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.929, kappa: 0.2284, kb_relative_information_score: -0.3882, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9438, number_of_instances: 32769, precision: 0.9273, predictive_accuracy: 0.9438, prior_entropy: 0.319, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.9174, unweighted_recall: 0.5763,

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

OpenML APIs