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: 0.796, 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: 0.7977, average_cost: 5.56, f_measure: 0.837, kappa: 0.3552, kb_relative_information_score: 955.0965, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8357, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8923, total_cost: 46582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.5956, f_measure: 0.8362, kappa: 0.3512, kb_relative_information_score: 954.0566, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8349, predictive_accuracy: 0.8553, prior_entropy: 0.6457, recall: 0.8553, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8926, total_cost: 46880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, average_cost: 5.6311, f_measure: 0.8354, kappa: 0.3475, kb_relative_information_score: 907.0369, 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: 0.7919, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8936, total_cost: 47177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, average_cost: 5.6078, f_measure: 0.8356, kappa: 0.3491, kb_relative_information_score: 908.3547, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8342, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8938, total_cost: 46982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, average_cost: 5.6019, f_measure: 0.8357, kappa: 0.3496, kb_relative_information_score: 910.0234, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8342, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8935, total_cost: 46933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.5604, f_measure: 0.8368, kappa: 0.3543, kb_relative_information_score: 914.291, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8352, predictive_accuracy: 0.8555, prior_entropy: 0.6457, recall: 0.8555, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 46585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, average_cost: 5.6024, f_measure: 0.8353, kappa: 0.3484, kb_relative_information_score: 900.0692, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8336, predictive_accuracy: 0.8544, prior_entropy: 0.6457, recall: 0.8544, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.8944, total_cost: 46937,
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: 0.799, average_cost: 5.9024, f_measure: 0.8297, kappa: 0.3194, kb_relative_information_score: 867.1382, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.83, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.898, total_cost: 49450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, average_cost: 5.9136, f_measure: 0.8299, kappa: 0.3196, kb_relative_information_score: 885.347, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8306, predictive_accuracy: 0.8532, prior_entropy: 0.6457, recall: 0.8532, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8969, total_cost: 49544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, average_cost: 5.8248, f_measure: 0.8321, kappa: 0.3298, kb_relative_information_score: 933.7568, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8324, predictive_accuracy: 0.8543, prior_entropy: 0.6457, recall: 0.8543, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8965, total_cost: 48800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, average_cost: 5.8298, f_measure: 0.8326, kappa: 0.3314, kb_relative_information_score: 895.531, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8336, predictive_accuracy: 0.8551, prior_entropy: 0.6457, recall: 0.8551, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.8962, total_cost: 48842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, average_cost: 5.7776, f_measure: 0.833, kappa: 0.3347, kb_relative_information_score: 902.2522, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8331, predictive_accuracy: 0.8546, prior_entropy: 0.6457, recall: 0.8546, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8968, total_cost: 48405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, average_cost: 6.2687, f_measure: 0.8209, kappa: 0.2775, kb_relative_information_score: 454.1761, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8231, predictive_accuracy: 0.849, prior_entropy: 0.6457, recall: 0.849, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.9056, total_cost: 52519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, average_cost: 5.949, f_measure: 0.8291, kappa: 0.3157, kb_relative_information_score: 864.8183, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.83, predictive_accuracy: 0.8528, prior_entropy: 0.6457, recall: 0.8528, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8971, total_cost: 49841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, average_cost: 6.0531, f_measure: 0.8283, kappa: 0.3094, kb_relative_information_score: 835.3622, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8316, predictive_accuracy: 0.854, prior_entropy: 0.6457, recall: 0.854, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8972, total_cost: 50713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, average_cost: 6.3014, f_measure: 0.8221, kappa: 0.2801, kb_relative_information_score: 569.2178, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8271, predictive_accuracy: 0.8514, prior_entropy: 0.6457, recall: 0.8514, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9025, total_cost: 52793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, average_cost: 6.0659, f_measure: 0.8273, kappa: 0.3056, kb_relative_information_score: 910.185, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8299, predictive_accuracy: 0.8529, prior_entropy: 0.6457, recall: 0.8529, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8938, total_cost: 50820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, average_cost: 5.9051, f_measure: 0.8276, kappa: 0.3126, kb_relative_information_score: 907.224, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8262, predictive_accuracy: 0.85, prior_entropy: 0.6457, recall: 0.85, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8976, total_cost: 49473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, average_cost: 5.9909, f_measure: 0.8277, kappa: 0.3097, kb_relative_information_score: 803.588, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8284, predictive_accuracy: 0.8519, prior_entropy: 0.6457, recall: 0.8519, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 50192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, average_cost: 5.8972, f_measure: 0.8292, kappa: 0.3181, kb_relative_information_score: 782.4467, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.829, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.8991, total_cost: 49407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, average_cost: 6.1817, f_measure: 0.8263, kappa: 0.298, kb_relative_information_score: 671.732, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8319, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.334, root_relative_squared_error: 0.9005, total_cost: 51790,
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: 0.7772, average_cost: 6.217, f_measure: 0.8211, kappa: 0.2801, kb_relative_information_score: 473.6734, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8218, predictive_accuracy: 0.8481, prior_entropy: 0.6457, recall: 0.8481, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.9108, total_cost: 52086,
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: 0.7971, 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,
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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: 0.7971, 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: 0.7971, 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: 0.7971, 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: 0.7971, 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: 0.7971, 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: 0.7971, 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: 0.7971, 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: 0.7989, average_cost: 5.7107, f_measure: 0.827, kappa: 0.3186, kb_relative_information_score: 1031.5583, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8224, predictive_accuracy: 0.8455, prior_entropy: 0.6457, recall: 0.8455, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.8985, total_cost: 47844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, average_cost: 5.752, f_measure: 0.8306, kappa: 0.3281, kb_relative_information_score: 1067.2616, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8285, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9045, total_cost: 48190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, average_cost: 6.8256, f_measure: 0.8051, kappa: 0.2042, kb_relative_information_score: 335.1245, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8086, predictive_accuracy: 0.8418, prior_entropy: 0.6457, recall: 0.8418, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.936, total_cost: 57185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 5.4309, 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, total_cost: 45500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 6.7776, f_measure: 0.8151, kappa: 0.2397, kb_relative_information_score: 992.2673, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8408, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8593, total_cost: 56783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 12.0974, mean_absolute_error: 0.2624, 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: 0.9535, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9597, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 202.5768, mean_absolute_error: 0.252, 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: 0.9156, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.345, root_relative_squared_error: 0.9301, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, average_cost: 8.218, f_measure: 0.7612, kappa: 0.0036, kb_relative_information_score: 388.8145, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.8356, prior_entropy: 0.6457, recall: 0.8356, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.908, total_cost: 68850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, average_cost: 8.0513, f_measure: 0.7688, kappa: 0.036, kb_relative_information_score: 563.6267, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8461, predictive_accuracy: 0.8385, prior_entropy: 0.6457, recall: 0.8385, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.8919, total_cost: 67454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 7.7719, f_measure: 0.7809, kappa: 0.0875, kb_relative_information_score: 699.0791, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8452, predictive_accuracy: 0.843, prior_entropy: 0.6457, recall: 0.843, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.8801, total_cost: 65113,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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

OpenML APIs