Task
Supervised Classification on ada_agnostic

Supervised Classification on ada_agnostic

Task 3896 Supervised Classification ada_agnostic 101678 runs submitted
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  • OpenML100 study_1 study_123 study_14 study_41 study_7 under100k under1m
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101678 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8309, kappa: 0.5329, kb_relative_information_score: 1837.0681, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8298, predictive_accuracy: 0.8374, prior_entropy: 0.8085, recall: 0.8374, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8212, kappa: 0.5079, kb_relative_information_score: 1801.9291, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8191, predictive_accuracy: 0.8268, prior_entropy: 0.8085, recall: 0.8268, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8277, kappa: 0.5242, kb_relative_information_score: 1811.3947, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8263, predictive_accuracy: 0.8341, prior_entropy: 0.8085, recall: 0.8341, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8276, kappa: 0.5248, kb_relative_information_score: 1825.4562, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8259, predictive_accuracy: 0.8334, prior_entropy: 0.8085, recall: 0.8334, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8277, kappa: 0.5232, kb_relative_information_score: 1810.0045, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8267, predictive_accuracy: 0.8347, prior_entropy: 0.8085, recall: 0.8347, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8305, kappa: 0.5315, kb_relative_information_score: 1818.8353, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8295, predictive_accuracy: 0.8371, prior_entropy: 0.8085, recall: 0.8371, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.349, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8293, kappa: 0.5287, kb_relative_information_score: 1844.297, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.828, predictive_accuracy: 0.8356, prior_entropy: 0.8085, recall: 0.8356, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8313, kappa: 0.5338, kb_relative_information_score: 1831.8919, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8303, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.8176, kappa: 0.5031, kb_relative_information_score: 1815.0499, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8155, predictive_accuracy: 0.8209, prior_entropy: 0.8085, recall: 0.8209, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8195, kappa: 0.502, kb_relative_information_score: 1807.6311, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8176, predictive_accuracy: 0.826, prior_entropy: 0.8085, recall: 0.826, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8307, kappa: 0.5324, kb_relative_information_score: 1829.8432, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8296, predictive_accuracy: 0.8371, prior_entropy: 0.8085, recall: 0.8371, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8312, kappa: 0.5352, kb_relative_information_score: 1844.7663, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8296, predictive_accuracy: 0.8367, prior_entropy: 0.8085, recall: 0.8367, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8303, kappa: 0.5314, kb_relative_information_score: 1818.994, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8291, predictive_accuracy: 0.8367, prior_entropy: 0.8085, recall: 0.8367, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8311, kappa: 0.533, kb_relative_information_score: 1824.1547, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.83, predictive_accuracy: 0.8376, prior_entropy: 0.8085, recall: 0.8376, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8243, kappa: 0.5149, kb_relative_information_score: 1800.0934, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8227, predictive_accuracy: 0.8308, prior_entropy: 0.8085, recall: 0.8308, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8309, kappa: 0.5333, kb_relative_information_score: 1822.4183, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8297, predictive_accuracy: 0.8371, prior_entropy: 0.8085, recall: 0.8371, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.8315, kappa: 0.5347, kb_relative_information_score: 1825.7175, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8303, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8134, kappa: 0.4925, kb_relative_information_score: 1856.9341, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8114, predictive_accuracy: 0.8165, prior_entropy: 0.8085, recall: 0.8165, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8194, kappa: 0.5075, kb_relative_information_score: 1811.6866, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8173, predictive_accuracy: 0.8229, prior_entropy: 0.8085, recall: 0.8229, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8222, kappa: 0.5115, kb_relative_information_score: 1819.092, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8202, predictive_accuracy: 0.8275, prior_entropy: 0.8085, recall: 0.8275, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8283, kappa: 0.5259, kb_relative_information_score: 1845.2235, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.827, predictive_accuracy: 0.8347, prior_entropy: 0.8085, recall: 0.8347, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8315, kappa: 0.5363, kb_relative_information_score: 1829.3106, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8299, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.8173, kappa: 0.5011, kb_relative_information_score: 1793.1195, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8151, predictive_accuracy: 0.8211, prior_entropy: 0.8085, recall: 0.8211, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8292, kappa: 0.5285, kb_relative_information_score: 1849.5869, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8278, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8313, kappa: 0.5355, kb_relative_information_score: 1830.3856, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8297, predictive_accuracy: 0.8367, prior_entropy: 0.8085, recall: 0.8367, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.831, kappa: 0.5348, kb_relative_information_score: 1842.3052, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8294, predictive_accuracy: 0.8365, prior_entropy: 0.8085, recall: 0.8365, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.81, kappa: 0.4849, kb_relative_information_score: 1790.9442, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8082, predictive_accuracy: 0.8124, prior_entropy: 0.8085, recall: 0.8124, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8304, kappa: 0.5313, kb_relative_information_score: 1830.9158, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8293, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8175, kappa: 0.5007, kb_relative_information_score: 1797.7053, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8152, predictive_accuracy: 0.8218, prior_entropy: 0.8085, recall: 0.8218, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8285, kappa: 0.5268, kb_relative_information_score: 1828.9283, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8271, predictive_accuracy: 0.8347, prior_entropy: 0.8085, recall: 0.8347, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.8091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8191, kappa: 0.5051, kb_relative_information_score: 1793.9386, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8169, predictive_accuracy: 0.8233, prior_entropy: 0.8085, recall: 0.8233, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8186, kappa: 0.4995, kb_relative_information_score: 1807.8901, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8251, prior_entropy: 0.8085, recall: 0.8251, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8216, kappa: 0.5128, kb_relative_information_score: 1852.505, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8195, predictive_accuracy: 0.8255, prior_entropy: 0.8085, recall: 0.8255, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8233, kappa: 0.514, kb_relative_information_score: 1791.485, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8214, predictive_accuracy: 0.8288, prior_entropy: 0.8085, recall: 0.8288, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8256, kappa: 0.5192, kb_relative_information_score: 1808.954, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.824, predictive_accuracy: 0.8317, prior_entropy: 0.8085, recall: 0.8317, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.8166, kappa: 0.5001, kb_relative_information_score: 1804.018, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8145, predictive_accuracy: 0.82, prior_entropy: 0.8085, recall: 0.82, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8315, kappa: 0.5363, kb_relative_information_score: 1829.4905, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8299, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8315, kappa: 0.5363, kb_relative_information_score: 1829.6988, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8299, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8197, kappa: 0.504, kb_relative_information_score: 1802.1521, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8176, predictive_accuracy: 0.8253, prior_entropy: 0.8085, recall: 0.8253, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8299, kappa: 0.5326, kb_relative_information_score: 1832.67, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8281, predictive_accuracy: 0.8349, prior_entropy: 0.8085, recall: 0.8349, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8232, kappa: 0.5138, kb_relative_information_score: 1795.1431, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8212, predictive_accuracy: 0.8286, prior_entropy: 0.8085, recall: 0.8286, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.8206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.824, kappa: 0.5162, kb_relative_information_score: 1824.574, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.822, predictive_accuracy: 0.8292, prior_entropy: 0.8085, recall: 0.8292, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8113, kappa: 0.4858, kb_relative_information_score: 1746.0121, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8091, predictive_accuracy: 0.8148, prior_entropy: 0.8085, recall: 0.8148, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8324, kappa: 0.5376, kb_relative_information_score: 1819.3963, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8312, predictive_accuracy: 0.8384, prior_entropy: 0.8085, recall: 0.8384, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.344, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8118, kappa: 0.4868, kb_relative_information_score: 1844.9578, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8095, predictive_accuracy: 0.8154, prior_entropy: 0.8085, recall: 0.8154, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8208, kappa: 0.5119, kb_relative_information_score: 1841.6719, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8188, predictive_accuracy: 0.824, prior_entropy: 0.8085, recall: 0.824, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.8584,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8335, kappa: 0.5411, kb_relative_information_score: 1813.8577, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8321, predictive_accuracy: 0.8391, prior_entropy: 0.8085, recall: 0.8391, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8294, kappa: 0.5311, kb_relative_information_score: 1831.8476, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8276, predictive_accuracy: 0.8345, prior_entropy: 0.8085, recall: 0.8345, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8294, kappa: 0.529, kb_relative_information_score: 1833.5545, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.828, predictive_accuracy: 0.8356, prior_entropy: 0.8085, recall: 0.8356, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8085,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8322, kappa: 0.5379, kb_relative_information_score: 1837.4251, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8308, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8189, kappa: 0.5023, kb_relative_information_score: 1801.9289, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8242, prior_entropy: 0.8085, recall: 0.8242, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8421,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.823, kappa: 0.5128, kb_relative_information_score: 1809.4782, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8211, predictive_accuracy: 0.8288, prior_entropy: 0.8085, recall: 0.8288, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.8316,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.8213, kappa: 0.5067, kb_relative_information_score: 1812.4456, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8195, predictive_accuracy: 0.8277, prior_entropy: 0.8085, recall: 0.8277, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8306, kappa: 0.5326, kb_relative_information_score: 1825.6174, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8293, predictive_accuracy: 0.8367, prior_entropy: 0.8085, recall: 0.8367, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.8091, kappa: 0.4817, kb_relative_information_score: 1786.7961, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8071, predictive_accuracy: 0.8117, prior_entropy: 0.8085, recall: 0.8117, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8229, kappa: 0.5132, kb_relative_information_score: 1792.4144, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8208, predictive_accuracy: 0.8281, prior_entropy: 0.8085, recall: 0.8281, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8166, kappa: 0.501, kb_relative_information_score: 1805.7649, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8146, predictive_accuracy: 0.8196, prior_entropy: 0.8085, recall: 0.8196, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8166, kappa: 0.4987, kb_relative_information_score: 1782.6257, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8143, predictive_accuracy: 0.8207, prior_entropy: 0.8085, recall: 0.8207, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.827, kappa: 0.5234, kb_relative_information_score: 1816.3396, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8253, predictive_accuracy: 0.8327, prior_entropy: 0.8085, recall: 0.8327, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.8069, kappa: 0.4788, kb_relative_information_score: 1798.8354, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8057, predictive_accuracy: 0.8084, prior_entropy: 0.8085, recall: 0.8084, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8129, kappa: 0.4891, kb_relative_information_score: 1764.7488, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8106, predictive_accuracy: 0.817, prior_entropy: 0.8085, recall: 0.817, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8227, kappa: 0.5123, kb_relative_information_score: 1782.0916, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8207, predictive_accuracy: 0.8281, prior_entropy: 0.8085, recall: 0.8281, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8245, kappa: 0.5154, kb_relative_information_score: 1797.9233, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.823, predictive_accuracy: 0.831, prior_entropy: 0.8085, recall: 0.831, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8335, kappa: 0.5411, kb_relative_information_score: 1819.629, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8321, predictive_accuracy: 0.8391, prior_entropy: 0.8085, recall: 0.8391, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8232, kappa: 0.5159, kb_relative_information_score: 1846.874, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8212, predictive_accuracy: 0.8277, prior_entropy: 0.8085, recall: 0.8277, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8167, kappa: 0.4993, kb_relative_information_score: 1844.8137, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8145, predictive_accuracy: 0.8207, prior_entropy: 0.8085, recall: 0.8207, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.8638,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8182, kappa: 0.5036, kb_relative_information_score: 1797.0548, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.816, predictive_accuracy: 0.822, prior_entropy: 0.8085, recall: 0.822, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8173, kappa: 0.4993, kb_relative_information_score: 1774.7781, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.815, predictive_accuracy: 0.822, prior_entropy: 0.8085, recall: 0.822, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.8097, kappa: 0.4834, kb_relative_information_score: 1793.1266, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8078, predictive_accuracy: 0.8124, prior_entropy: 0.8085, recall: 0.8124, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.8315, kappa: 0.5347, kb_relative_information_score: 1826.1473, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8303, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8145, kappa: 0.4916, kb_relative_information_score: 1772.5774, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8121, predictive_accuracy: 0.8194, prior_entropy: 0.8085, recall: 0.8194, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8285, kappa: 0.5255, kb_relative_information_score: 1811.1386, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8275, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7977, kappa: 0.4519, kb_relative_information_score: 1748.5992, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7958, predictive_accuracy: 0.8001, prior_entropy: 0.8085, recall: 0.8001, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8183, kappa: 0.5024, kb_relative_information_score: 1790.7445, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8161, predictive_accuracy: 0.8229, prior_entropy: 0.8085, recall: 0.8229, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.8501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8154, kappa: 0.4955, kb_relative_information_score: 1779.8023, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8131, predictive_accuracy: 0.8196, prior_entropy: 0.8085, recall: 0.8196, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8323, kappa: 0.537, kb_relative_information_score: 1836.6093, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8311, predictive_accuracy: 0.8384, prior_entropy: 0.8085, recall: 0.8384, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8187, kappa: 0.4997, kb_relative_information_score: 1803.8115, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8168, predictive_accuracy: 0.8253, prior_entropy: 0.8085, recall: 0.8253, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8266, kappa: 0.5207, kb_relative_information_score: 1804.839, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8252, predictive_accuracy: 0.8332, prior_entropy: 0.8085, recall: 0.8332, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.8066,

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