OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125966 Supervised Classification SpeedDating 2541 runs submitted
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2541 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8262, kappa: 0.2904, kb_relative_information_score: 1042.4391, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8592, prior_entropy: 0.6457, recall: 0.8592, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8245, kappa: 0.2804, kb_relative_information_score: 1336.3984, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8496, predictive_accuracy: 0.86, prior_entropy: 0.6457, recall: 0.86, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8245, kappa: 0.2804, kb_relative_information_score: 1336.3984, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8496, predictive_accuracy: 0.86, prior_entropy: 0.6457, recall: 0.86, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8247, kappa: 0.2841, kb_relative_information_score: 1038.6055, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8417, predictive_accuracy: 0.8578, prior_entropy: 0.6457, recall: 0.8578, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.8288, kappa: 0.303, kb_relative_information_score: 1305.6795, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8437, predictive_accuracy: 0.8596, prior_entropy: 0.6457, recall: 0.8596, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.822, kappa: 0.2711, kb_relative_information_score: 1326.1534, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8427, predictive_accuracy: 0.8574, prior_entropy: 0.6457, recall: 0.8574, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.822, kappa: 0.2711, kb_relative_information_score: 1326.1534, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8427, predictive_accuracy: 0.8574, prior_entropy: 0.6457, recall: 0.8574, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.822, kappa: 0.2918, kb_relative_information_score: 2596.0329, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8183, predictive_accuracy: 0.8444, prior_entropy: 0.6457, recall: 0.8444, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8063, kappa: 0.1993, kb_relative_information_score: 971.5548, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8399, predictive_accuracy: 0.8516, prior_entropy: 0.6457, recall: 0.8516, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8175, kappa: 0.2503, kb_relative_information_score: 1018.8165, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8416, predictive_accuracy: 0.8557, prior_entropy: 0.6457, recall: 0.8557, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8162, kappa: 0.2441, kb_relative_information_score: 1019.8516, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8424, predictive_accuracy: 0.8555, prior_entropy: 0.6457, recall: 0.8555, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8167, kappa: 0.2459, kb_relative_information_score: 1011.8885, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8448, predictive_accuracy: 0.8562, prior_entropy: 0.6457, recall: 0.8562, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8141, kappa: 0.2345, kb_relative_information_score: 1006.7507, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8423, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8111, kappa: 0.2205, kb_relative_information_score: 997.3798, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8448, kappa: 0.402, kb_relative_information_score: 1664.3314, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8405, predictive_accuracy: 0.8557, prior_entropy: 0.6457, recall: 0.8557, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8067, kappa: 0.2009, kb_relative_information_score: 984.384, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8411, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.318, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8262, kappa: 0.2926, kb_relative_information_score: 979.0536, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8576, prior_entropy: 0.6457, recall: 0.8576, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8052, kappa: 0.1944, kb_relative_information_score: 966.8553, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8419, predictive_accuracy: 0.8516, prior_entropy: 0.6457, recall: 0.8516, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.8047, kappa: 0.1929, kb_relative_information_score: 932.24, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8349, predictive_accuracy: 0.8502, prior_entropy: 0.6457, recall: 0.8502, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.325, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8289, kappa: 0.3058, kb_relative_information_score: 921.6929, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8582, prior_entropy: 0.6457, recall: 0.8582, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.8306, kappa: 0.3197, kb_relative_information_score: 1167.8971, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8336, predictive_accuracy: 0.8552, prior_entropy: 0.6457, recall: 0.8552, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.7603, kb_relative_information_score: -256.4288, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.7603, kb_relative_information_score: -256.4288, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8133, kappa: 0.2306, kb_relative_information_score: 1013.0126, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.6287, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7603, kb_relative_information_score: -13932.5699, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.8167, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5, root_relative_squared_error: 1.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8442, kappa: 0.3803, kb_relative_information_score: 1301.8453, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.6287, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.842, kappa: 0.4053, kb_relative_information_score: 2743.5626, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8379, predictive_accuracy: 0.8483, prior_entropy: 0.6457, recall: 0.8483, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3895, root_relative_squared_error: 1.0501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8139, kappa: 0.2347, kb_relative_information_score: 947.7924, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8374, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8321, kappa: 0.317, kb_relative_information_score: 702.6426, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.848, predictive_accuracy: 0.862, prior_entropy: 0.6457, recall: 0.862, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8139, kappa: 0.2347, kb_relative_information_score: 947.7924, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8374, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8169, kappa: 0.2475, kb_relative_information_score: 916.5264, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.841, predictive_accuracy: 0.8553, prior_entropy: 0.6457, recall: 0.8553, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8321, kappa: 0.317, kb_relative_information_score: 1644.579, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.848, predictive_accuracy: 0.862, prior_entropy: 0.6457, recall: 0.862, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.8351, kappa: 0.335, kb_relative_information_score: 3204.4034, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8428, predictive_accuracy: 0.8607, prior_entropy: 0.6457, recall: 0.8607, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3732, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8321, kappa: 0.317, kb_relative_information_score: 2773.1473, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.848, predictive_accuracy: 0.862, prior_entropy: 0.6457, recall: 0.862, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8321, kappa: 0.317, kb_relative_information_score: 1158.094, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.848, predictive_accuracy: 0.862, prior_entropy: 0.6457, recall: 0.862, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.8231, kappa: 0.2968, kb_relative_information_score: 962.7188, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8194, predictive_accuracy: 0.845, prior_entropy: 0.6457, recall: 0.845, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.8466, kappa: 0.4098, kb_relative_information_score: 1708.8616, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8255, kappa: 0.2879, kb_relative_information_score: 602.2426, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8421, predictive_accuracy: 0.8582, prior_entropy: 0.6457, recall: 0.8582, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.8302, kappa: 0.3102, kb_relative_information_score: 1689.8039, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8433, predictive_accuracy: 0.8599, prior_entropy: 0.6457, recall: 0.8599, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.8324, kappa: 0.3188, kb_relative_information_score: 1742.4225, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8473, predictive_accuracy: 0.8619, prior_entropy: 0.6457, recall: 0.8619, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8125, kappa: 0.2272, kb_relative_information_score: 1013.7775, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.842, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.8299, kappa: 0.3077, kb_relative_information_score: 1694.0889, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.8606, prior_entropy: 0.6457, recall: 0.8606, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.8229, kappa: 0.2742, kb_relative_information_score: 1671.8377, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8452, predictive_accuracy: 0.8583, prior_entropy: 0.6457, recall: 0.8583, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.8299, kappa: 0.3077, kb_relative_information_score: 1694.0889, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.8606, prior_entropy: 0.6457, recall: 0.8606, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8171, kappa: 0.2516, kb_relative_information_score: 1372.6996, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8321, predictive_accuracy: 0.8528, prior_entropy: 0.6457, recall: 0.8528, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8131, kappa: 0.2293, kb_relative_information_score: 1013.1967, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.844, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8127, kappa: 0.2281, kb_relative_information_score: 1012.3569, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8433, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8135, kappa: 0.2313, kb_relative_information_score: 1012.3086, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8433, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7954, kappa: 0.1502, kb_relative_information_score: 1069.5459, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.8485, prior_entropy: 0.6457, recall: 0.8485, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.8666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.802, kappa: 0.1839, kb_relative_information_score: 695.3835, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8194, predictive_accuracy: 0.8459, prior_entropy: 0.6457, recall: 0.8459, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.841, kappa: 0.3748, kb_relative_information_score: 1535.146, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8388, predictive_accuracy: 0.8575, prior_entropy: 0.6457, recall: 0.8575, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8131, kappa: 0.23, kb_relative_information_score: 1014.4148, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8427, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8281, kappa: 0.312, kb_relative_information_score: 1071.3341, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8284, predictive_accuracy: 0.8518, prior_entropy: 0.6457, recall: 0.8518, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.7953, kappa: 0.1643, kb_relative_information_score: -11.7997, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7921, predictive_accuracy: 0.8339, prior_entropy: 0.6457, recall: 0.8339, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7603, kb_relative_information_score: -928.6265, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.819, kappa: 0.2629, kb_relative_information_score: 649.1409, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8281, predictive_accuracy: 0.8516, prior_entropy: 0.6457, recall: 0.8516, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.8049, kappa: 0.2023, kb_relative_information_score: 319.2752, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8101, predictive_accuracy: 0.8427, prior_entropy: 0.6457, recall: 0.8427, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.347, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8133, kappa: 0.2306, kb_relative_information_score: 1013.0126, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8133, kappa: 0.2306, kb_relative_information_score: 1013.0126, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.812, kappa: 0.2252, kb_relative_information_score: 1007.4674, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8416, predictive_accuracy: 0.8539, prior_entropy: 0.6457, recall: 0.8539, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8145, kappa: 0.2364, kb_relative_information_score: 1032.8382, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8427, predictive_accuracy: 0.855, prior_entropy: 0.6457, recall: 0.855, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8149, kappa: 0.2384, kb_relative_information_score: 1029.3464, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8411, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8123, kappa: 0.2265, kb_relative_information_score: 1002.0482, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8411, predictive_accuracy: 0.8539, prior_entropy: 0.6457, recall: 0.8539, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8197, kappa: 0.2602, kb_relative_information_score: 1006.1144, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8569, prior_entropy: 0.6457, recall: 0.8569, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8134, kappa: 0.2309, kb_relative_information_score: 1011.5821, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8451, predictive_accuracy: 0.8551, prior_entropy: 0.6457, recall: 0.8551, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8137, kappa: 0.2322, kb_relative_information_score: 1011.8917, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8446, predictive_accuracy: 0.8551, prior_entropy: 0.6457, recall: 0.8551, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8133, kappa: 0.2306, kb_relative_information_score: 1013.0126, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8133, kappa: 0.2306, kb_relative_information_score: 1013.0126, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8135, kappa: 0.2313, kb_relative_information_score: 1011.4591, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.855, prior_entropy: 0.6457, recall: 0.855, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8141, kappa: 0.2345, kb_relative_information_score: 1006.7507, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8423, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8111, kappa: 0.2205, kb_relative_information_score: 998.1201, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8117, kappa: 0.2228, kb_relative_information_score: 998.8985, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8104, kappa: 0.2173, kb_relative_information_score: 965.0871, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8445, predictive_accuracy: 0.8539, prior_entropy: 0.6457, recall: 0.8539, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.811, kappa: 0.2199, kb_relative_information_score: 998.4376, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8446, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8111, kappa: 0.2202, kb_relative_information_score: 998.2025, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8451, predictive_accuracy: 0.8543, prior_entropy: 0.6457, recall: 0.8543, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8137, kappa: 0.2322, kb_relative_information_score: 1001.655, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8446, predictive_accuracy: 0.8551, prior_entropy: 0.6457, recall: 0.8551, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8005, kappa: 0.1735, kb_relative_information_score: 901.5071, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.841, predictive_accuracy: 0.8498, prior_entropy: 0.6457, recall: 0.8498, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8149, kappa: 0.2377, kb_relative_information_score: 1017.7124, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8433, predictive_accuracy: 0.8552, prior_entropy: 0.6457, recall: 0.8552, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8117, kappa: 0.2231, kb_relative_information_score: 992.706, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8445, predictive_accuracy: 0.8544, prior_entropy: 0.6457, recall: 0.8544, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8125, kappa: 0.2268, kb_relative_information_score: 1008.6784, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8438, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8131, kappa: 0.2293, kb_relative_information_score: 1010.2007, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.844, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8132, kappa: 0.2303, kb_relative_information_score: 1011.0302, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8431, predictive_accuracy: 0.8546, prior_entropy: 0.6457, recall: 0.8546, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8133, kappa: 0.2303, kb_relative_information_score: 1008.0644, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8442, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8131, kappa: 0.2293, kb_relative_information_score: 1007.2282, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.844, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8128, kappa: 0.2284, kb_relative_information_score: 1007.4448, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8438, predictive_accuracy: 0.8546, prior_entropy: 0.6457, recall: 0.8546, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8135, kappa: 0.2313, kb_relative_information_score: 1008.4254, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.855, prior_entropy: 0.6457, recall: 0.855, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.813, kappa: 0.229, kb_relative_information_score: 1007.5768, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8546, prior_entropy: 0.6457, recall: 0.8546, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8127, kappa: 0.2281, kb_relative_information_score: 1003.8489, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8433, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8123, kappa: 0.2265, kb_relative_information_score: 1002.0482, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8411, predictive_accuracy: 0.8539, prior_entropy: 0.6457, recall: 0.8539, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8193, kappa: 0.2578, kb_relative_information_score: 1013.475, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8451, predictive_accuracy: 0.8571, prior_entropy: 0.6457, recall: 0.8571, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.8531,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

OpenML APIs