OpenML
Supervised Classification on MagicTelescope

Supervised Classification on MagicTelescope

Task 3954 Supervised Classification MagicTelescope 62743 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8291, kappa: 0.6236, kb_relative_information_score: 11286.3177, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8286, predictive_accuracy: 0.8299, prior_entropy: 0.9355, recall: 0.8299, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8321, kappa: 0.6296, kb_relative_information_score: 10957.3435, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8316, predictive_accuracy: 0.8332, prior_entropy: 0.9355, recall: 0.8332, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8408, kappa: 0.6484, kb_relative_information_score: 11166.786, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8404, predictive_accuracy: 0.8421, prior_entropy: 0.9355, recall: 0.8421, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8425, kappa: 0.6513, kb_relative_information_score: 10889.4793, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8426, predictive_accuracy: 0.8444, prior_entropy: 0.9355, recall: 0.8444, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8426, kappa: 0.6524, kb_relative_information_score: 11116.8109, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8423, predictive_accuracy: 0.844, prior_entropy: 0.9355, recall: 0.844, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8303, kappa: 0.6263, kb_relative_information_score: 11309.8635, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8299, predictive_accuracy: 0.8311, prior_entropy: 0.9355, recall: 0.8311, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8181, kappa: 0.5998, kb_relative_information_score: 10926.5073, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8176, predictive_accuracy: 0.8187, prior_entropy: 0.9355, recall: 0.8187, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8429, kappa: 0.6522, kb_relative_information_score: 11014.2402, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8429, predictive_accuracy: 0.8446, prior_entropy: 0.9355, recall: 0.8446, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.84, kappa: 0.6466, kb_relative_information_score: 10942.6445, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8398, predictive_accuracy: 0.8415, prior_entropy: 0.9355, recall: 0.8415, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8423, kappa: 0.6508, kb_relative_information_score: 10852.7275, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8424, predictive_accuracy: 0.8442, prior_entropy: 0.9355, recall: 0.8442, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.842, kappa: 0.6504, kb_relative_information_score: 10911.5361, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8418, predictive_accuracy: 0.8436, prior_entropy: 0.9355, recall: 0.8436, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8426, kappa: 0.6516, kb_relative_information_score: 10861.8055, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8427, predictive_accuracy: 0.8445, prior_entropy: 0.9355, recall: 0.8445, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8425, kappa: 0.651, kb_relative_information_score: 10944.81, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8427, predictive_accuracy: 0.8445, prior_entropy: 0.9355, recall: 0.8445, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8419, kappa: 0.6507, kb_relative_information_score: 11104.4636, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8415, predictive_accuracy: 0.8432, prior_entropy: 0.9355, recall: 0.8432, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8318, kappa: 0.6293, kb_relative_information_score: 11270.6358, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8314, predictive_accuracy: 0.8328, prior_entropy: 0.9355, recall: 0.8328, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8291, kappa: 0.6233, kb_relative_information_score: 11242.8192, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8286, predictive_accuracy: 0.83, prior_entropy: 0.9355, recall: 0.83, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8416, kappa: 0.6501, kb_relative_information_score: 11074.5659, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.843, prior_entropy: 0.9355, recall: 0.843, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8296, kappa: 0.6246, kb_relative_information_score: 11280.0875, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8291, predictive_accuracy: 0.8304, prior_entropy: 0.9355, recall: 0.8304, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.37, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8433, kappa: 0.6532, kb_relative_information_score: 11019.0853, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8433, predictive_accuracy: 0.8451, prior_entropy: 0.9355, recall: 0.8451, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8414, kappa: 0.6496, kb_relative_information_score: 11063.6053, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8411, predictive_accuracy: 0.8427, prior_entropy: 0.9355, recall: 0.8427, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8182, kappa: 0.6, kb_relative_information_score: 10925.1521, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8178, predictive_accuracy: 0.8189, prior_entropy: 0.9355, recall: 0.8189, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8362, kappa: 0.6383, kb_relative_information_score: 10964.8514, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8358, predictive_accuracy: 0.8375, prior_entropy: 0.9355, recall: 0.8375, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.835, kappa: 0.6359, kb_relative_information_score: 11046.9191, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8346, predictive_accuracy: 0.8362, prior_entropy: 0.9355, recall: 0.8362, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.8208, kappa: 0.6045, kb_relative_information_score: 11009.3033, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8203, predictive_accuracy: 0.8221, prior_entropy: 0.9355, recall: 0.8221, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8414, kappa: 0.6493, kb_relative_information_score: 11025.1881, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8411, predictive_accuracy: 0.8428, prior_entropy: 0.9355, recall: 0.8428, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8425, kappa: 0.6513, kb_relative_information_score: 10844.8847, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8426, predictive_accuracy: 0.8444, prior_entropy: 0.9355, recall: 0.8444, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8345, kappa: 0.6343, kb_relative_information_score: 10940.7644, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8342, predictive_accuracy: 0.836, prior_entropy: 0.9355, recall: 0.836, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8412, kappa: 0.6488, kb_relative_information_score: 10898.4569, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8411, predictive_accuracy: 0.8429, prior_entropy: 0.9355, recall: 0.8429, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8406, kappa: 0.6476, kb_relative_information_score: 10902.3124, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8404, predictive_accuracy: 0.8421, prior_entropy: 0.9355, recall: 0.8421, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8414, kappa: 0.6495, kb_relative_information_score: 11016.5812, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8412, predictive_accuracy: 0.843, prior_entropy: 0.9355, recall: 0.843, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8302, kappa: 0.6254, kb_relative_information_score: 11226.0443, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8298, predictive_accuracy: 0.8314, prior_entropy: 0.9355, recall: 0.8314, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8426, kappa: 0.6523, kb_relative_information_score: 11116.3588, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8423, predictive_accuracy: 0.8439, prior_entropy: 0.9355, recall: 0.8439, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8306, kappa: 0.6262, kb_relative_information_score: 11266.9488, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8302, predictive_accuracy: 0.8319, prior_entropy: 0.9355, recall: 0.8319, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8329, kappa: 0.6314, kb_relative_information_score: 11002.7962, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8325, predictive_accuracy: 0.8341, prior_entropy: 0.9355, recall: 0.8341, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8429, kappa: 0.6531, kb_relative_information_score: 11139.8319, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8426, predictive_accuracy: 0.8442, prior_entropy: 0.9355, recall: 0.8442, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8424, kappa: 0.6509, kb_relative_information_score: 10947.3016, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8426, predictive_accuracy: 0.8444, prior_entropy: 0.9355, recall: 0.8444, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8429, kappa: 0.6521, kb_relative_information_score: 10863.2149, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.843, predictive_accuracy: 0.8448, prior_entropy: 0.9355, recall: 0.8448, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8357, kappa: 0.6377, kb_relative_information_score: 11117.0425, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8353, predictive_accuracy: 0.8367, prior_entropy: 0.9355, recall: 0.8367, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8428, kappa: 0.6521, kb_relative_information_score: 11020.6802, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8428, predictive_accuracy: 0.8446, prior_entropy: 0.9355, recall: 0.8446, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8233, kappa: 0.6109, kb_relative_information_score: 11185.1866, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8228, predictive_accuracy: 0.8241, prior_entropy: 0.9355, recall: 0.8241, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8349, kappa: 0.6359, kb_relative_information_score: 11113.3047, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8344, predictive_accuracy: 0.8359, prior_entropy: 0.9355, recall: 0.8359, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8285, kappa: 0.6226, kb_relative_information_score: 11300.2405, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8281, predictive_accuracy: 0.8291, prior_entropy: 0.9355, recall: 0.8291, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8227, kappa: 0.6088, kb_relative_information_score: 11077.8988, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8221, predictive_accuracy: 0.8238, prior_entropy: 0.9355, recall: 0.8238, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8424, kappa: 0.6518, kb_relative_information_score: 11112.7872, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8421, predictive_accuracy: 0.8437, prior_entropy: 0.9355, recall: 0.8437, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8304, kappa: 0.6263, kb_relative_information_score: 11159.0195, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.83, predictive_accuracy: 0.8314, prior_entropy: 0.9355, recall: 0.8314, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8423, kappa: 0.6508, kb_relative_information_score: 10945.8336, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8425, predictive_accuracy: 0.8443, prior_entropy: 0.9355, recall: 0.8443, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8315, kappa: 0.6285, kb_relative_information_score: 11057.7477, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.831, predictive_accuracy: 0.8325, prior_entropy: 0.9355, recall: 0.8325, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8316, kappa: 0.6288, kb_relative_information_score: 11297.6284, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8311, predictive_accuracy: 0.8325, prior_entropy: 0.9355, recall: 0.8325, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8412, kappa: 0.6494, kb_relative_information_score: 11084.5542, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8409, predictive_accuracy: 0.8425, prior_entropy: 0.9355, recall: 0.8425, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.35, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8403, kappa: 0.647, kb_relative_information_score: 10887.9437, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8401, predictive_accuracy: 0.8419, prior_entropy: 0.9355, recall: 0.8419, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.842, kappa: 0.6501, kb_relative_information_score: 10935.7085, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8422, predictive_accuracy: 0.844, prior_entropy: 0.9355, recall: 0.844, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8348, kappa: 0.6348, kb_relative_information_score: 10946.6085, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8344, predictive_accuracy: 0.8363, prior_entropy: 0.9355, recall: 0.8363, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8314, kappa: 0.6279, kb_relative_information_score: 11280.6887, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.831, predictive_accuracy: 0.8326, prior_entropy: 0.9355, recall: 0.8326, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8436, kappa: 0.6538, kb_relative_information_score: 11027.5934, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8436, predictive_accuracy: 0.8453, prior_entropy: 0.9355, recall: 0.8453, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8411, kappa: 0.6487, kb_relative_information_score: 11026.9911, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8409, predictive_accuracy: 0.8426, prior_entropy: 0.9355, recall: 0.8426, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8266, kappa: 0.6183, kb_relative_information_score: 11027.4136, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8261, predictive_accuracy: 0.8272, prior_entropy: 0.9355, recall: 0.8272, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8311, kappa: 0.6279, kb_relative_information_score: 11035.8489, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8306, predictive_accuracy: 0.832, prior_entropy: 0.9355, recall: 0.832, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8393, kappa: 0.645, kb_relative_information_score: 10934.9974, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.8408, prior_entropy: 0.9355, recall: 0.8408, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8323, kappa: 0.6302, kb_relative_information_score: 11243.968, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8318, predictive_accuracy: 0.8334, prior_entropy: 0.9355, recall: 0.8334, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8283, kappa: 0.6221, kb_relative_information_score: 11103.5976, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8279, predictive_accuracy: 0.8291, prior_entropy: 0.9355, recall: 0.8291, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8431, kappa: 0.6528, kb_relative_information_score: 11022.9884, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8431, predictive_accuracy: 0.8448, prior_entropy: 0.9355, recall: 0.8448, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8422, kappa: 0.6506, kb_relative_information_score: 10867.0302, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8423, predictive_accuracy: 0.8441, prior_entropy: 0.9355, recall: 0.8441, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.835, kappa: 0.6361, kb_relative_information_score: 11114.3382, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8345, predictive_accuracy: 0.836, prior_entropy: 0.9355, recall: 0.836, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8216, kappa: 0.6061, kb_relative_information_score: 11016.9226, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.821, predictive_accuracy: 0.8229, prior_entropy: 0.9355, recall: 0.8229, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8306, kappa: 0.6268, kb_relative_information_score: 11189.0627, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8301, predictive_accuracy: 0.8315, prior_entropy: 0.9355, recall: 0.8315, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8229, kappa: 0.6099, kb_relative_information_score: 11170.2658, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8224, predictive_accuracy: 0.8238, prior_entropy: 0.9355, recall: 0.8238, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8419, kappa: 0.6508, kb_relative_information_score: 11090.2372, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8416, predictive_accuracy: 0.8432, prior_entropy: 0.9355, recall: 0.8432, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8415, kappa: 0.6496, kb_relative_information_score: 11024.8213, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.843, prior_entropy: 0.9355, recall: 0.843, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8314, kappa: 0.6286, kb_relative_information_score: 11294.7043, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8309, predictive_accuracy: 0.8323, prior_entropy: 0.9355, recall: 0.8323, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8652, kappa: 0.7002, kb_relative_information_score: 11209.2957, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8678, predictive_accuracy: 0.8679, prior_entropy: 0.9355, recall: 0.8679, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8714, kappa: 0.7139, kb_relative_information_score: 11054.2017, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8743, predictive_accuracy: 0.874, prior_entropy: 0.9355, recall: 0.874, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8725, kappa: 0.7164, kb_relative_information_score: 11327.4865, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8756, predictive_accuracy: 0.8752, prior_entropy: 0.9355, recall: 0.8752, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8703, kappa: 0.7118, kb_relative_information_score: 11467.3057, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8726, predictive_accuracy: 0.8728, prior_entropy: 0.9355, recall: 0.8728, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8678, kappa: 0.7059, kb_relative_information_score: 10448.281, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8708, predictive_accuracy: 0.8706, prior_entropy: 0.9355, recall: 0.8706, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8677, kappa: 0.7058, kb_relative_information_score: 11341.6183, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8702, predictive_accuracy: 0.8703, prior_entropy: 0.9355, recall: 0.8703, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8701, kappa: 0.7111, kb_relative_information_score: 11166.8316, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8732, predictive_accuracy: 0.8729, prior_entropy: 0.9355, recall: 0.8729, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8711, kappa: 0.7134, kb_relative_information_score: 11249.9342, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8738, predictive_accuracy: 0.8737, prior_entropy: 0.9355, recall: 0.8737, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8699, kappa: 0.7114, kb_relative_information_score: 11477.2458, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.871, predictive_accuracy: 0.8718, prior_entropy: 0.9355, recall: 0.8718, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.87, kappa: 0.7109, kb_relative_information_score: 10804.2427, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8725, predictive_accuracy: 0.8725, prior_entropy: 0.9355, recall: 0.8725, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8737, kappa: 0.7194, kb_relative_information_score: 11064.7587, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9355, recall: 0.876, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.869, kappa: 0.7087, kb_relative_information_score: 11250.0782, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8717, predictive_accuracy: 0.8717, prior_entropy: 0.9355, recall: 0.8717, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8671, kappa: 0.7038, kb_relative_information_score: 9714.4419, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8718, predictive_accuracy: 0.8705, prior_entropy: 0.9355, recall: 0.8705, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8734, kappa: 0.7189, kb_relative_information_score: 11640.2289, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8754, predictive_accuracy: 0.8757, prior_entropy: 0.9355, recall: 0.8757, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8716, kappa: 0.7146, kb_relative_information_score: 11099.637, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 0.9355, recall: 0.874, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8713, kappa: 0.7138, kb_relative_information_score: 11108.5308, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8741, predictive_accuracy: 0.8739, prior_entropy: 0.9355, recall: 0.8739, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8698, kappa: 0.7103, kb_relative_information_score: 10529.1777, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8729, predictive_accuracy: 0.8726, prior_entropy: 0.9355, recall: 0.8726, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8775, kappa: 0.728, kb_relative_information_score: 11378.1685, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8796, predictive_accuracy: 0.8797, prior_entropy: 0.9355, recall: 0.8797, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8649, kappa: 0.6994, kb_relative_information_score: 10938.7624, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8678, predictive_accuracy: 0.8678, prior_entropy: 0.9355, recall: 0.8678, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8774, kappa: 0.7281, kb_relative_information_score: 11453.1605, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8789, predictive_accuracy: 0.8793, prior_entropy: 0.9355, recall: 0.8793, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8595, kappa: 0.6863, kb_relative_information_score: 8969.4925, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.866, predictive_accuracy: 0.8637, prior_entropy: 0.9355, recall: 0.8637, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8614, kappa: 0.6921, kb_relative_information_score: 11093.914, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8631, predictive_accuracy: 0.8638, prior_entropy: 0.9355, recall: 0.8638, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8621, kappa: 0.6922, kb_relative_information_score: 9151.5227, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8679, predictive_accuracy: 0.866, prior_entropy: 0.9355, recall: 0.866, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8715, kappa: 0.7141, kb_relative_information_score: 11214.2514, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8743, predictive_accuracy: 0.8741, prior_entropy: 0.9355, recall: 0.8741, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8666, kappa: 0.7031, kb_relative_information_score: 10533.552, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8694, predictive_accuracy: 0.8693, prior_entropy: 0.9355, recall: 0.8693, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8748, kappa: 0.7216, kb_relative_information_score: 10893.4215, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8776, predictive_accuracy: 0.8773, prior_entropy: 0.9355, recall: 0.8773, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8667, kappa: 0.7028, kb_relative_information_score: 9692.713, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8715, predictive_accuracy: 0.8701, prior_entropy: 0.9355, recall: 0.8701, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8668, kappa: 0.7035, kb_relative_information_score: 11018.4702, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8702, predictive_accuracy: 0.8698, prior_entropy: 0.9355, recall: 0.8698, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8631, kappa: 0.6964, kb_relative_information_score: 11582.314, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8642, predictive_accuracy: 0.8652, prior_entropy: 0.9355, recall: 0.8652, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8677, kappa: 0.7051, kb_relative_information_score: 9679.3351, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8722, predictive_accuracy: 0.871, prior_entropy: 0.9355, recall: 0.871, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8689, kappa: 0.7083, kb_relative_information_score: 10609.922, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8718, predictive_accuracy: 0.8716, prior_entropy: 0.9355, recall: 0.8716, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6462,

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