OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125968 Supervised Classification SpeedDating 1170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, average_cost: 5.6428, f_measure: 0.8353, kappa: 0.3466, kb_relative_information_score: 907.8107, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8342, predictive_accuracy: 0.855, prior_entropy: 0.6457, recall: 0.855, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8937, total_cost: 47275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, average_cost: 5.5448, f_measure: 0.8355, kappa: 0.3509, kb_relative_information_score: 880.957, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.833, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8952, total_cost: 46454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, average_cost: 6.0631, f_measure: 0.8294, kappa: 0.3126, kb_relative_information_score: 802.6761, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8344, predictive_accuracy: 0.8557, prior_entropy: 0.6457, recall: 0.8557, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.8947, total_cost: 50797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, average_cost: 5.6931, f_measure: 0.8318, kappa: 0.3338, kb_relative_information_score: 1174.2808, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8514, prior_entropy: 0.6457, recall: 0.8514, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.9109, total_cost: 47697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, average_cost: 5.8274, f_measure: 0.8255, kappa: 0.3094, kb_relative_information_score: 996.0449, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8216, predictive_accuracy: 0.8458, prior_entropy: 0.6457, recall: 0.8458, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9189, total_cost: 48822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, average_cost: 5.7286, f_measure: 0.831, kappa: 0.33, kb_relative_information_score: 971.4554, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8287, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9047, total_cost: 47994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, average_cost: 5.7064, f_measure: 0.8304, kappa: 0.329, kb_relative_information_score: 913.3947, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8274, predictive_accuracy: 0.8498, prior_entropy: 0.6457, recall: 0.8498, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.9108, total_cost: 47808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, average_cost: 5.8751, f_measure: 0.8286, kappa: 0.3169, kb_relative_information_score: 863.0478, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8273, predictive_accuracy: 0.8507, prior_entropy: 0.6457, recall: 0.8507, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9085, total_cost: 49222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, average_cost: 5.9901, f_measure: 0.8239, kappa: 0.2979, kb_relative_information_score: 716.3216, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8215, predictive_accuracy: 0.8469, prior_entropy: 0.6457, recall: 0.8469, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.9121, total_cost: 50185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, average_cost: 6.0167, f_measure: 0.8255, kappa: 0.3017, kb_relative_information_score: 939.5258, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8249, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9014, total_cost: 50408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, average_cost: 6.0436, f_measure: 0.8268, kappa: 0.305, kb_relative_information_score: 950.9383, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8282, predictive_accuracy: 0.8519, prior_entropy: 0.6457, recall: 0.8519, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.8984, total_cost: 50633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, average_cost: 5.9193, f_measure: 0.8299, kappa: 0.3194, kb_relative_information_score: 1028.507, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8308, predictive_accuracy: 0.8533, prior_entropy: 0.6457, recall: 0.8533, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8972, total_cost: 49592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, average_cost: 5.8058, f_measure: 0.829, kappa: 0.3208, kb_relative_information_score: 987.4929, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8267, predictive_accuracy: 0.8498, prior_entropy: 0.6457, recall: 0.8498, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.335, root_relative_squared_error: 0.9031, total_cost: 48641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, average_cost: 5.8253, f_measure: 0.8272, kappa: 0.3146, kb_relative_information_score: 917.8522, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8242, predictive_accuracy: 0.8479, prior_entropy: 0.6457, recall: 0.8479, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.9083, total_cost: 48804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, average_cost: 5.9693, f_measure: 0.8267, kappa: 0.3073, kb_relative_information_score: 938.9277, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.826, predictive_accuracy: 0.8501, prior_entropy: 0.6457, recall: 0.8501, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.905, total_cost: 50011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, average_cost: 5.8746, f_measure: 0.829, kappa: 0.3184, kb_relative_information_score: 940.6925, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8281, predictive_accuracy: 0.8513, prior_entropy: 0.6457, recall: 0.8513, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9015, total_cost: 49217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, average_cost: 5.8916, f_measure: 0.8291, kappa: 0.318, kb_relative_information_score: 1036.2336, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8287, predictive_accuracy: 0.8518, prior_entropy: 0.6457, recall: 0.8518, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8997, total_cost: 49360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, average_cost: 6.0736, f_measure: 0.8257, kappa: 0.3003, kb_relative_information_score: 914.5778, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8269, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.902, total_cost: 50885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, average_cost: 6.0281, f_measure: 0.8256, kappa: 0.3015, kb_relative_information_score: 894.3393, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8253, predictive_accuracy: 0.8498, prior_entropy: 0.6457, recall: 0.8498, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9043, total_cost: 50503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, average_cost: 5.9267, f_measure: 0.8286, kappa: 0.315, kb_relative_information_score: 893.7004, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8285, predictive_accuracy: 0.8518, prior_entropy: 0.6457, recall: 0.8518, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.9033, total_cost: 49654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, average_cost: 5.8576, f_measure: 0.8288, kappa: 0.3184, kb_relative_information_score: 866.1152, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8274, predictive_accuracy: 0.8507, prior_entropy: 0.6457, recall: 0.8507, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9037, total_cost: 49075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, average_cost: 5.9204, f_measure: 0.8291, kappa: 0.3167, kb_relative_information_score: 843.4382, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8292, predictive_accuracy: 0.8522, prior_entropy: 0.6457, recall: 0.8522, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.901, total_cost: 49601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, average_cost: 5.8614, f_measure: 0.8303, kappa: 0.3229, kb_relative_information_score: 896.6467, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8301, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.334, root_relative_squared_error: 0.9004, total_cost: 49107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.2359, 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, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, average_cost: 5.0963, f_measure: 0.8169, kappa: 0.316, kb_relative_information_score: 979.1885, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8125, predictive_accuracy: 0.8224, prior_entropy: 0.6457, recall: 0.8224, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.9622, total_cost: 42697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, average_cost: 5.3313, f_measure: 0.8223, kappa: 0.3206, kb_relative_information_score: 1166.0334, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.816, predictive_accuracy: 0.833, prior_entropy: 0.6457, recall: 0.833, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.342, root_relative_squared_error: 0.9219, total_cost: 44666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, average_cost: 6.1539, f_measure: 0.8257, kappa: 0.2971, kb_relative_information_score: 736.2188, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8969, total_cost: 51557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, average_cost: 5.5448, f_measure: 0.8355, kappa: 0.3509, kb_relative_information_score: 881.0969, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.833, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8952, total_cost: 46454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, average_cost: 5.7581, f_measure: 0.8304, kappa: 0.327, kb_relative_information_score: 844.8366, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8282, predictive_accuracy: 0.8508, prior_entropy: 0.6457, recall: 0.8508, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8971, total_cost: 48241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, average_cost: 5.569, f_measure: 0.8345, kappa: 0.347, kb_relative_information_score: 828.011, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8318, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8965, total_cost: 46657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, average_cost: 5.5446, f_measure: 0.8356, kappa: 0.3512, kb_relative_information_score: 872.7272, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8331, predictive_accuracy: 0.8537, prior_entropy: 0.6457, recall: 0.8537, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8952, total_cost: 46453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, average_cost: 5.6216, f_measure: 0.8338, kappa: 0.3428, kb_relative_information_score: 848.1397, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8315, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.8961, total_cost: 47098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, average_cost: 5.8759, f_measure: 0.828, kappa: 0.3151, kb_relative_information_score: 801.6499, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8263, predictive_accuracy: 0.85, prior_entropy: 0.6457, recall: 0.85, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.333, root_relative_squared_error: 0.8978, total_cost: 49228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.6138, f_measure: 0.8355, kappa: 0.3483, kb_relative_information_score: 922.7485, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.834, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8935, total_cost: 47032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.6252, f_measure: 0.8355, kappa: 0.348, kb_relative_information_score: 924.4666, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8343, predictive_accuracy: 0.855, prior_entropy: 0.6457, recall: 0.855, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8934, total_cost: 47128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, average_cost: 5.696, f_measure: 0.834, kappa: 0.3408, kb_relative_information_score: 928.4857, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8331, predictive_accuracy: 0.8544, prior_entropy: 0.6457, recall: 0.8544, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8935, total_cost: 47721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, average_cost: 5.8081, f_measure: 0.8317, kappa: 0.3292, kb_relative_information_score: 929.4902, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8313, predictive_accuracy: 0.8534, prior_entropy: 0.6457, recall: 0.8534, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8937, total_cost: 48660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, average_cost: 5.7379, f_measure: 0.8327, kappa: 0.335, kb_relative_information_score: 967.1561, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8317, predictive_accuracy: 0.8534, prior_entropy: 0.6457, recall: 0.8534, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8935, total_cost: 48072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, average_cost: 5.6862, f_measure: 0.8327, kappa: 0.337, kb_relative_information_score: 932.8996, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8525, prior_entropy: 0.6457, recall: 0.8525, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8953, total_cost: 47639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, average_cost: 5.6436, f_measure: 0.8346, kappa: 0.3445, kb_relative_information_score: 1014.5338, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8331, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8927, total_cost: 47282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, average_cost: 5.6966, f_measure: 0.8336, kappa: 0.3393, kb_relative_information_score: 1013.9678, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8324, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8935, total_cost: 47726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, average_cost: 5.7968, f_measure: 0.8315, kappa: 0.329, kb_relative_information_score: 965.5267, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8529, prior_entropy: 0.6457, recall: 0.8529, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8951, total_cost: 48566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, average_cost: 5.7507, f_measure: 0.8317, kappa: 0.3314, kb_relative_information_score: 959.285, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8302, predictive_accuracy: 0.8524, prior_entropy: 0.6457, recall: 0.8524, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.8961, total_cost: 48179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, average_cost: 5.7231, f_measure: 0.8308, kappa: 0.3296, kb_relative_information_score: 932.6543, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8283, predictive_accuracy: 0.8507, prior_entropy: 0.6457, recall: 0.8507, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.897, total_cost: 47948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, average_cost: 5.7875, f_measure: 0.8298, kappa: 0.324, kb_relative_information_score: 915.1975, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8277, predictive_accuracy: 0.8506, prior_entropy: 0.6457, recall: 0.8506, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.8987, total_cost: 48488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, average_cost: 5.8532, f_measure: 0.8278, kappa: 0.3153, kb_relative_information_score: 879.039, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8256, predictive_accuracy: 0.8492, prior_entropy: 0.6457, recall: 0.8492, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.334, root_relative_squared_error: 0.9005, total_cost: 49038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, average_cost: 5.8408, f_measure: 0.8285, kappa: 0.3181, kb_relative_information_score: 872.7766, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8266, predictive_accuracy: 0.85, prior_entropy: 0.6457, recall: 0.85, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.9002, total_cost: 48934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, average_cost: 5.8001, f_measure: 0.8289, kappa: 0.321, kb_relative_information_score: 852.2151, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8266, predictive_accuracy: 0.8497, prior_entropy: 0.6457, recall: 0.8497, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.8998, total_cost: 48593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, average_cost: 5.8397, f_measure: 0.8294, kappa: 0.3208, kb_relative_information_score: 905.5769, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.828, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.8979, total_cost: 48925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, average_cost: 5.8503, f_measure: 0.83, kappa: 0.3224, kb_relative_information_score: 864.5353, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8521, prior_entropy: 0.6457, recall: 0.8521, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.8981, total_cost: 49014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, average_cost: 5.9011, f_measure: 0.8307, kappa: 0.3227, kb_relative_information_score: 878.2108, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8319, predictive_accuracy: 0.854, prior_entropy: 0.6457, recall: 0.854, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.8958, total_cost: 49439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, average_cost: 5.8361, f_measure: 0.8322, kappa: 0.3297, kb_relative_information_score: 930.1685, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8329, predictive_accuracy: 0.8546, prior_entropy: 0.6457, recall: 0.8546, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.8957, total_cost: 48895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, average_cost: 5.5846, f_measure: 0.8358, kappa: 0.3504, kb_relative_information_score: 926.2705, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.834, predictive_accuracy: 0.8546, prior_entropy: 0.6457, recall: 0.8546, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8943, total_cost: 46788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, average_cost: 5.5736, f_measure: 0.8354, kappa: 0.3495, kb_relative_information_score: 907.5477, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8332, predictive_accuracy: 0.8539, prior_entropy: 0.6457, recall: 0.8539, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.8955, total_cost: 46696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.5845, f_measure: 0.8359, kappa: 0.3507, kb_relative_information_score: 946.6612, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8342, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.8932, total_cost: 46787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.5845, f_measure: 0.8359, kappa: 0.3507, kb_relative_information_score: 946.6612, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8342, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.8932, total_cost: 46787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, average_cost: 0.7079, f_measure: 0.3927, kappa: 0.0963, kb_relative_information_score: -14865.8733, mean_absolute_error: 0.626, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8628, predictive_accuracy: 0.374, prior_entropy: 0.6457, recall: 0.374, relative_absolute_error: 2.2747, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7912, root_relative_squared_error: 2.1331, total_cost: 5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, average_cost: 0.7448, f_measure: 0.2896, kappa: 0.0592, kb_relative_information_score: -16559.2728, mean_absolute_error: 0.5909, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8609, predictive_accuracy: 0.302, prior_entropy: 0.6457, recall: 0.302, relative_absolute_error: 2.147, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.7404, total_cost: 6240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, average_cost: 0.7372, f_measure: 0.4087, kappa: 0.1015, kb_relative_information_score: -14431.6195, mean_absolute_error: 0.6143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.3857, prior_entropy: 0.6457, recall: 0.3857, relative_absolute_error: 2.2322, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7838, root_relative_squared_error: 2.1131, total_cost: 6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, average_cost: 0.7312, f_measure: 0.401, kappa: 0.0986, kb_relative_information_score: -14644.3152, mean_absolute_error: 0.6201, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.861, predictive_accuracy: 0.3799, prior_entropy: 0.6457, recall: 0.3799, relative_absolute_error: 2.253, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7874, root_relative_squared_error: 2.1229, total_cost: 6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, average_cost: 0.733, f_measure: 0.3908, kappa: 0.0945, kb_relative_information_score: -14927.9096, mean_absolute_error: 0.6277, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8608, predictive_accuracy: 0.3723, prior_entropy: 0.6457, recall: 0.3723, relative_absolute_error: 2.2807, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7923, root_relative_squared_error: 2.136, total_cost: 6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, average_cost: 4.1724, f_measure: 0.8345, kappa: 0.4003, kb_relative_information_score: 1068.8599, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.835, predictive_accuracy: 0.834, prior_entropy: 0.6457, recall: 0.834, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.9388, total_cost: 34956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, average_cost: 0.7378, f_measure: 0.4079, kappa: 0.1012, kb_relative_information_score: -14453.7753, mean_absolute_error: 0.6149, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.3851, prior_entropy: 0.6457, recall: 0.3851, relative_absolute_error: 2.2343, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7842, root_relative_squared_error: 2.1141, total_cost: 6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, average_cost: 6.0162, f_measure: 0.8258, kappa: 0.3029, kb_relative_information_score: 1068.5405, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8256, predictive_accuracy: 0.85, prior_entropy: 0.6457, recall: 0.85, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.33, root_relative_squared_error: 0.8897, total_cost: 50404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, average_cost: 0.6928, f_measure: 0.3892, kappa: 0.0955, kb_relative_information_score: -14954.4965, mean_absolute_error: 0.6284, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8641, predictive_accuracy: 0.3716, prior_entropy: 0.6457, recall: 0.3716, relative_absolute_error: 2.2833, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7927, root_relative_squared_error: 2.1372, total_cost: 5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, average_cost: 0.7164, f_measure: 0.3971, kappa: 0.0977, kb_relative_information_score: -14746.2319, mean_absolute_error: 0.6228, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8621, predictive_accuracy: 0.3772, prior_entropy: 0.6457, recall: 0.3772, relative_absolute_error: 2.263, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7892, root_relative_squared_error: 2.1276, total_cost: 6002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, average_cost: 0.7251, f_measure: 0.353, kappa: 0.0807, kb_relative_information_score: -15938.2144, mean_absolute_error: 0.6549, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.3451, prior_entropy: 0.6457, recall: 0.3451, relative_absolute_error: 2.3796, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8093, root_relative_squared_error: 2.1818, total_cost: 6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, average_cost: 5.9826, f_measure: 0.8253, kappa: 0.3024, kb_relative_information_score: 911.1756, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8238, predictive_accuracy: 0.8485, prior_entropy: 0.6457, recall: 0.8485, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8927, total_cost: 50122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, average_cost: 0.7184, f_measure: 0.3705, kappa: 0.0873, kb_relative_information_score: -15472.9424, mean_absolute_error: 0.6424, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8621, predictive_accuracy: 0.3576, prior_entropy: 0.6457, recall: 0.3576, relative_absolute_error: 2.3341, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8015, root_relative_squared_error: 2.1608, total_cost: 6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, average_cost: 0.7368, f_measure: 0.4168, kappa: 0.1049, kb_relative_information_score: -14201.1991, mean_absolute_error: 0.6081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8606, predictive_accuracy: 0.3919, prior_entropy: 0.6457, recall: 0.3919, relative_absolute_error: 2.2096, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7798, root_relative_squared_error: 2.1024, total_cost: 6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, average_cost: 0.7614, f_measure: 0.3923, kappa: 0.0939, kb_relative_information_score: -14896.8914, mean_absolute_error: 0.6269, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8585, predictive_accuracy: 0.3731, prior_entropy: 0.6457, recall: 0.3731, relative_absolute_error: 2.2777, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7918, root_relative_squared_error: 2.1345, total_cost: 6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, average_cost: 0.7138, f_measure: 0.3927, kappa: 0.0961, kb_relative_information_score: -14865.8733, mean_absolute_error: 0.626, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8623, predictive_accuracy: 0.374, prior_entropy: 0.6457, recall: 0.374, relative_absolute_error: 2.2747, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7912, root_relative_squared_error: 2.1331, total_cost: 5980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, average_cost: 0.725, f_measure: 0.3531, kappa: 0.0808, kb_relative_information_score: -15933.7832, mean_absolute_error: 0.6548, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.3452, prior_entropy: 0.6457, recall: 0.3452, relative_absolute_error: 2.3792, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8092, root_relative_squared_error: 2.1816, total_cost: 6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, average_cost: 0.728, f_measure: 0.3974, kappa: 0.0973, kb_relative_information_score: -14741.8008, mean_absolute_error: 0.6227, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.3773, prior_entropy: 0.6457, recall: 0.3773, relative_absolute_error: 2.2625, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7891, root_relative_squared_error: 2.1274, total_cost: 6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, average_cost: 0.7191, f_measure: 0.3935, kappa: 0.0961, kb_relative_information_score: -14848.1487, mean_absolute_error: 0.6256, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8619, predictive_accuracy: 0.3744, prior_entropy: 0.6457, recall: 0.3744, relative_absolute_error: 2.2729, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7909, root_relative_squared_error: 2.1323, total_cost: 6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, average_cost: 0.6915, f_measure: 0.391, kappa: 0.0963, kb_relative_information_score: -14905.7538, mean_absolute_error: 0.6271, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8642, predictive_accuracy: 0.3729, prior_entropy: 0.6457, recall: 0.3729, relative_absolute_error: 2.2786, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7919, root_relative_squared_error: 2.135, total_cost: 5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, average_cost: 0.7275, f_measure: 0.4058, kappa: 0.1008, kb_relative_information_score: -14506.9492, mean_absolute_error: 0.6164, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3836, prior_entropy: 0.6457, recall: 0.3836, relative_absolute_error: 2.2395, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7851, root_relative_squared_error: 2.1166, total_cost: 6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, average_cost: 0.744, f_measure: 0.4075, kappa: 0.1008, kb_relative_information_score: -14467.0688, mean_absolute_error: 0.6153, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.86, predictive_accuracy: 0.3847, prior_entropy: 0.6457, recall: 0.3847, relative_absolute_error: 2.2356, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7844, root_relative_squared_error: 2.1147, total_cost: 6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, average_cost: 2.3547, f_measure: 0.788, kappa: 0.3691, kb_relative_information_score: -726.4197, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.7625, prior_entropy: 0.6457, recall: 0.7625, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.2199, total_cost: 19728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, average_cost: 2.3547, f_measure: 0.788, kappa: 0.3691, kb_relative_information_score: -726.4197, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.7625, prior_entropy: 0.6457, recall: 0.7625, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.2199, total_cost: 19728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, average_cost: 5.6, f_measure: 0.7891, kappa: 0.2219, kb_relative_information_score: -330.5766, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.786, predictive_accuracy: 0.7924, prior_entropy: 0.6457, recall: 0.7924, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.1702, total_cost: 46917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, average_cost: 0.7035, f_measure: 0.3907, kappa: 0.0957, kb_relative_information_score: -14919.0472, mean_absolute_error: 0.6275, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8632, predictive_accuracy: 0.3725, prior_entropy: 0.6457, recall: 0.3725, relative_absolute_error: 2.2799, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7921, root_relative_squared_error: 2.1356, total_cost: 5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, average_cost: 0.7556, f_measure: 0.4599, kappa: 0.1237, kb_relative_information_score: -13810.5822, mean_absolute_error: 0.5452, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.86, predictive_accuracy: 0.4258, prior_entropy: 0.6457, recall: 0.4258, relative_absolute_error: 1.9808, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.7305, total_cost: 6330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, average_cost: 0.7396, f_measure: 0.4132, kappa: 0.1033, kb_relative_information_score: -14303.1158, mean_absolute_error: 0.6109, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8604, predictive_accuracy: 0.3891, prior_entropy: 0.6457, recall: 0.3891, relative_absolute_error: 2.2196, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7816, root_relative_squared_error: 2.1071, total_cost: 6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, average_cost: 0.731, f_measure: 0.3277, kappa: 0.0718, kb_relative_information_score: -16589.5951, mean_absolute_error: 0.6725, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8615, predictive_accuracy: 0.3275, prior_entropy: 0.6457, recall: 0.3275, relative_absolute_error: 2.4434, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.82, root_relative_squared_error: 2.2108, total_cost: 6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, average_cost: 0.7593, f_measure: 0.3382, kappa: 0.0742, kb_relative_information_score: -16337.0189, mean_absolute_error: 0.6657, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8585, predictive_accuracy: 0.3343, prior_entropy: 0.6457, recall: 0.3343, relative_absolute_error: 2.4187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8159, root_relative_squared_error: 2.1996, total_cost: 6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, average_cost: 0.7032, f_measure: 0.3911, kappa: 0.0959, kb_relative_information_score: -14905.7538, mean_absolute_error: 0.6271, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8632, predictive_accuracy: 0.3729, prior_entropy: 0.6457, recall: 0.3729, relative_absolute_error: 2.2786, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7919, root_relative_squared_error: 2.135, total_cost: 5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, average_cost: 0.7236, f_measure: 0.3384, kappa: 0.0757, kb_relative_information_score: -16314.8631, mean_absolute_error: 0.6651, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8621, predictive_accuracy: 0.3349, prior_entropy: 0.6457, recall: 0.3349, relative_absolute_error: 2.4165, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8155, root_relative_squared_error: 2.1986, total_cost: 6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, average_cost: 0.7102, f_measure: 0.3896, kappa: 0.095, kb_relative_information_score: -14950.0654, mean_absolute_error: 0.6283, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3717, prior_entropy: 0.6457, recall: 0.3717, relative_absolute_error: 2.2829, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7927, root_relative_squared_error: 2.137, total_cost: 5950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, average_cost: 0.7289, f_measure: 0.3221, kappa: 0.07, kb_relative_information_score: -16731.3923, mean_absolute_error: 0.6763, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.3237, prior_entropy: 0.6457, recall: 0.3237, relative_absolute_error: 2.4572, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8224, root_relative_squared_error: 2.2171, total_cost: 6107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, average_cost: 0.7269, f_measure: 0.3669, kappa: 0.0857, kb_relative_information_score: -15570.428, mean_absolute_error: 0.645, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8614, predictive_accuracy: 0.355, prior_entropy: 0.6457, recall: 0.355, relative_absolute_error: 2.3436, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8031, root_relative_squared_error: 2.1652, total_cost: 6090,

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

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

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