Task
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125969 Supervised Classification SpeedDating 1071 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

1071 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, average_cost: 0.2462, f_measure: 0.8429, kappa: 0.3834, kb_relative_information_score: 1269.4686, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8408, predictive_accuracy: 0.8588, prior_entropy: 0.6457, recall: 0.8588, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.8594, total_cost: 2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, average_cost: 0.2455, f_measure: 0.8434, kappa: 0.3858, kb_relative_information_score: 1261.0158, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8411, predictive_accuracy: 0.8589, prior_entropy: 0.6457, recall: 0.8589, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602, total_cost: 2057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, average_cost: 0.2495, f_measure: 0.8407, kappa: 0.3732, kb_relative_information_score: 1231.1258, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8386, predictive_accuracy: 0.8574, prior_entropy: 0.6457, recall: 0.8574, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.8615, total_cost: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 0.2474, f_measure: 0.8421, kappa: 0.3798, kb_relative_information_score: 1208.1407, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8623, total_cost: 2073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, average_cost: 0.3293, f_measure: 0.7605, kappa: 0.001, kb_relative_information_score: -537.6377, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7801, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.99, total_cost: 2759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, average_cost: 0.3002, f_measure: 0.799, kappa: 0.1749, kb_relative_information_score: 133.6033, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8052, predictive_accuracy: 0.8407, prior_entropy: 0.6457, recall: 0.8407, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.35, root_relative_squared_error: 0.9435, total_cost: 2515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, average_cost: 0.2986, f_measure: 0.7999, kappa: 0.1773, kb_relative_information_score: 178.0512, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8099, predictive_accuracy: 0.8426, prior_entropy: 0.6457, recall: 0.8426, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.9411, total_cost: 2502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, average_cost: 0.2704, f_measure: 0.8253, kappa: 0.2954, kb_relative_information_score: 904.8781, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.829, predictive_accuracy: 0.8525, prior_entropy: 0.6457, recall: 0.8525, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8782, total_cost: 2265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 0.2472, f_measure: 0.8423, kappa: 0.3804, kb_relative_information_score: 1205.3735, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8401, predictive_accuracy: 0.8583, prior_entropy: 0.6457, recall: 0.8583, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8623, total_cost: 2071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, average_cost: 0.247, f_measure: 0.8428, kappa: 0.3792, kb_relative_information_score: 1197.9171, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.842, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.864, total_cost: 2069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, average_cost: 0.2495, f_measure: 0.8409, kappa: 0.3719, kb_relative_information_score: 1163.5868, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8396, predictive_accuracy: 0.8584, prior_entropy: 0.6457, recall: 0.8584, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8652, total_cost: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, average_cost: 0.2495, f_measure: 0.8409, kappa: 0.3719, kb_relative_information_score: 1128.1682, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8396, predictive_accuracy: 0.8584, prior_entropy: 0.6457, recall: 0.8584, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8682, total_cost: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, average_cost: 0.2523, f_measure: 0.8386, kappa: 0.3643, kb_relative_information_score: 1059.9536, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8363, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.8699, total_cost: 2114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, average_cost: 0.2533, f_measure: 0.8378, kappa: 0.3624, kb_relative_information_score: 922.7845, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8349, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.878, total_cost: 2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, average_cost: 0.2828, f_measure: 0.8147, kappa: 0.2448, kb_relative_information_score: 552.1937, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8224, predictive_accuracy: 0.8487, prior_entropy: 0.6457, recall: 0.8487, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8972, total_cost: 2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, average_cost: 0.2806, f_measure: 0.8173, kappa: 0.2648, kb_relative_information_score: 122.1159, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8164, predictive_accuracy: 0.8447, prior_entropy: 0.6457, recall: 0.8447, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.905, total_cost: 2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, average_cost: 0.2655, f_measure: 0.827, kappa: 0.3408, kb_relative_information_score: 189.8344, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8212, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9077, total_cost: 2224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -1202.7127, mean_absolute_error: 0.2685, 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: 0.9757, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.353, root_relative_squared_error: 0.9517, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, average_cost: 0.2655, f_measure: 0.827, kappa: 0.3408, kb_relative_information_score: 189.8344, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8212, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9077, total_cost: 2224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, average_cost: 0.2896, f_measure: 0.8063, kappa: 0.1993, kb_relative_information_score: 971.5548, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8399, predictive_accuracy: 0.8516, prior_entropy: 0.6457, recall: 0.8516, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, average_cost: 0.3068, f_measure: 0.7875, kappa: 0.1164, kb_relative_information_score: 765.0499, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8409, predictive_accuracy: 0.8452, prior_entropy: 0.6457, recall: 0.8452, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.8806, total_cost: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, average_cost: 0.253, f_measure: 0.8383, kappa: 0.3604, kb_relative_information_score: 1287.5249, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8371, predictive_accuracy: 0.8568, prior_entropy: 0.6457, recall: 0.8568, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.8696, total_cost: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, average_cost: 0.2903, f_measure: 0.8058, kappa: 0.1979, kb_relative_information_score: 979.578, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8362, predictive_accuracy: 0.8508, prior_entropy: 0.6457, recall: 0.8508, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8591, total_cost: 2432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, average_cost: 0.2582, f_measure: 0.8347, kappa: 0.3405, kb_relative_information_score: 358.9812, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8358, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.8775, total_cost: 2163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, average_cost: 0.2498, f_measure: 0.8403, kappa: 0.3727, kb_relative_information_score: 1414.2889, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8379, predictive_accuracy: 0.8566, prior_entropy: 0.6457, recall: 0.8566, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8631, total_cost: 2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, average_cost: 0.2847, f_measure: 0.8126, kappa: 0.2331, kb_relative_information_score: 621.866, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8247, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.329, root_relative_squared_error: 0.887, total_cost: 2385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, average_cost: 0.3133, f_measure: 0.7827, kappa: 0.0977, kb_relative_information_score: 76.0258, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8049, predictive_accuracy: 0.8395, prior_entropy: 0.6457, recall: 0.8395, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9323, total_cost: 2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, average_cost: 0.2507, f_measure: 0.84, kappa: 0.3679, kb_relative_information_score: 1338.7578, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8645, total_cost: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, average_cost: 0.2507, f_measure: 0.84, kappa: 0.3679, kb_relative_information_score: 1338.7578, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8645, total_cost: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, average_cost: 0.2823, f_measure: 0.8137, kappa: 0.2334, kb_relative_information_score: 972.466, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8387, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602, total_cost: 2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, average_cost: 0.2542, f_measure: 0.8375, kappa: 0.3552, kb_relative_information_score: 1309.5296, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8373, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, average_cost: 0.2542, f_measure: 0.8375, kappa: 0.3552, kb_relative_information_score: 1309.5296, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8373, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, average_cost: 0.2542, f_measure: 0.8375, kappa: 0.3552, kb_relative_information_score: 1309.5296, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8373, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, average_cost: 0.2908, f_measure: 0.8054, kappa: 0.1959, kb_relative_information_score: 879.8339, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8357, predictive_accuracy: 0.8506, prior_entropy: 0.6457, recall: 0.8506, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8682, total_cost: 2436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, average_cost: 0.2492, f_measure: 0.8404, kappa: 0.3763, kb_relative_information_score: 1560.7305, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.837, predictive_accuracy: 0.8553, prior_entropy: 0.6457, recall: 0.8553, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8543, total_cost: 2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, 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: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 0.2593, 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: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, average_cost: 0.2783, f_measure: 0.8169, kappa: 0.2465, kb_relative_information_score: 964.0553, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8466, predictive_accuracy: 0.8566, prior_entropy: 0.6457, recall: 0.8566, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.8575, total_cost: 2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, average_cost: 0.2542, f_measure: 0.8375, kappa: 0.3552, kb_relative_information_score: 1309.5296, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8373, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, average_cost: 0.3244, f_measure: 0.7671, kappa: 0.0286, kb_relative_information_score: -1518.7034, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8187, predictive_accuracy: 0.8372, prior_entropy: 0.6457, recall: 0.8372, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9925, total_cost: 2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.3294, 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: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, average_cost: 0.3251, f_measure: 0.7662, kappa: 0.0251, kb_relative_information_score: -1375.187, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.8368, prior_entropy: 0.6457, recall: 0.8368, relative_absolute_error: 1.0144, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9936, total_cost: 2724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, average_cost: 0.3261, f_measure: 0.7668, kappa: 0.0278, kb_relative_information_score: -1587.7498, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7794, predictive_accuracy: 0.835, prior_entropy: 0.6457, recall: 0.835, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9933, total_cost: 2732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, average_cost: 0.3257, f_measure: 0.7668, kappa: 0.0279, kb_relative_information_score: -1414.9749, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.785, predictive_accuracy: 0.8355, prior_entropy: 0.6457, recall: 0.8355, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9937, total_cost: 2729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, average_cost: 0.3259, f_measure: 0.7669, kappa: 0.0283, kb_relative_information_score: -1503.2349, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7821, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.993, total_cost: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, average_cost: 0.3298, f_measure: 0.7689, kappa: 0.0416, kb_relative_information_score: -1857.5688, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7549, predictive_accuracy: 0.8274, prior_entropy: 0.6457, recall: 0.8274, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9782, total_cost: 2763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, average_cost: 0.3307, f_measure: 0.7694, kappa: 0.0452, kb_relative_information_score: -2120.7649, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7535, predictive_accuracy: 0.8254, prior_entropy: 0.6457, recall: 0.8254, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9878, total_cost: 2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, average_cost: 0.3294, f_measure: 0.77, kappa: 0.0472, kb_relative_information_score: -1866.3843, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7563, predictive_accuracy: 0.8268, prior_entropy: 0.6457, recall: 0.8268, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9814, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, average_cost: 0.327, f_measure: 0.7699, kappa: 0.044, kb_relative_information_score: -1910.832, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.763, predictive_accuracy: 0.8307, prior_entropy: 0.6457, recall: 0.8307, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9789, total_cost: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, average_cost: 0.3259, f_measure: 0.7718, kappa: 0.0526, kb_relative_information_score: -1782.3166, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7661, predictive_accuracy: 0.8307, prior_entropy: 0.6457, recall: 0.8307, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9761, total_cost: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, average_cost: 0.3273, f_measure: 0.7705, kappa: 0.0472, kb_relative_information_score: -1724.1033, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7619, predictive_accuracy: 0.8298, prior_entropy: 0.6457, recall: 0.8298, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9735, total_cost: 2742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, average_cost: 0.3254, f_measure: 0.7727, kappa: 0.0571, kb_relative_information_score: -1580.6382, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7669, predictive_accuracy: 0.8305, prior_entropy: 0.6457, recall: 0.8305, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9698, total_cost: 2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, average_cost: 0.3257, f_measure: 0.7659, kappa: 0.0238, kb_relative_information_score: -1481.9297, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7991, predictive_accuracy: 0.8362, prior_entropy: 0.6457, recall: 0.8362, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9936, total_cost: 2729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, average_cost: 0.3231, f_measure: 0.7752, kappa: 0.0677, kb_relative_information_score: -1569.1004, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7725, predictive_accuracy: 0.8316, prior_entropy: 0.6457, recall: 0.8316, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9733, total_cost: 2707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, average_cost: 0.3176, 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: 2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, average_cost: 0.3065, f_measure: 0.7973, kappa: 0.1875, kb_relative_information_score: -180.7576, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7878, predictive_accuracy: 0.826, prior_entropy: 0.6457, recall: 0.826, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3884, root_relative_squared_error: 1.0472, total_cost: 2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, average_cost: 0.3146, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.0115, mean_absolute_error: 0.2082, 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: 0.7563, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.456, root_relative_squared_error: 1.2295, total_cost: 2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 0.3146, 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: 2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 0.2985, f_measure: 0.7967, kappa: 0.1563, kb_relative_information_score: 885.88, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8415, predictive_accuracy: 0.8485, prior_entropy: 0.6457, recall: 0.8485, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8652, total_cost: 2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 0.2774, 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: 2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 0.2774, 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: 2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, average_cost: 0.298, f_measure: 0.7971, kappa: 0.1584, kb_relative_information_score: 884.3034, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.842, predictive_accuracy: 0.8488, prior_entropy: 0.6457, recall: 0.8488, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8653, total_cost: 2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, average_cost: 0.3291, f_measure: 0.7608, kappa: 0.0022, kb_relative_information_score: 305.8179, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8077, predictive_accuracy: 0.8354, prior_entropy: 0.6457, recall: 0.8354, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.9296, total_cost: 2757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, 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: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, average_cost: 0.2908, f_measure: 0.8054, kappa: 0.1959, kb_relative_information_score: 879.8339, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8357, predictive_accuracy: 0.8506, prior_entropy: 0.6457, recall: 0.8506, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8682, total_cost: 2436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, average_cost: 0.2841, f_measure: 0.8117, kappa: 0.2236, kb_relative_information_score: 903.5573, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8416, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8638, total_cost: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, average_cost: 0.283, f_measure: 0.813, kappa: 0.2302, kb_relative_information_score: 852.9249, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8386, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8679, total_cost: 2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, average_cost: 0.2976, f_measure: 0.7977, kappa: 0.1609, kb_relative_information_score: 872.8471, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8413, predictive_accuracy: 0.8489, prior_entropy: 0.6457, recall: 0.8489, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8659, total_cost: 2493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, average_cost: 0.297, f_measure: 0.7983, kappa: 0.1637, kb_relative_information_score: 868.8666, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8414, predictive_accuracy: 0.8491, prior_entropy: 0.6457, recall: 0.8491, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8661, total_cost: 2488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, average_cost: 0.3288, f_measure: 0.7611, kappa: 0.0034, kb_relative_information_score: 308.8841, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8215, predictive_accuracy: 0.8355, prior_entropy: 0.6457, recall: 0.8355, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.9291, total_cost: 2755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, average_cost: 0.329, f_measure: 0.7609, kappa: 0.0024, kb_relative_information_score: 261.6063, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.8355, prior_entropy: 0.6457, recall: 0.8355, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.345, root_relative_squared_error: 0.93, total_cost: 2756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, average_cost: 0.2967, f_measure: 0.7989, kappa: 0.1665, kb_relative_information_score: 877.3779, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8375, predictive_accuracy: 0.8488, prior_entropy: 0.6457, recall: 0.8488, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8666, total_cost: 2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, average_cost: 0.3291, f_measure: 0.7608, kappa: 0.0022, kb_relative_information_score: 314.569, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8077, predictive_accuracy: 0.8354, prior_entropy: 0.6457, recall: 0.8354, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.9296, total_cost: 2757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, average_cost: 0.3241, f_measure: 0.7684, kappa: 0.0347, kb_relative_information_score: -99.0737, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7984, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9464, total_cost: 2715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 0.2806, 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: 2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 0.2774, 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: 2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, average_cost: 0.2794, f_measure: 0.816, kappa: 0.2427, kb_relative_information_score: 973.5605, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8448, predictive_accuracy: 0.8559, prior_entropy: 0.6457, recall: 0.8559, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8588, total_cost: 2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, average_cost: 0.2805, f_measure: 0.8154, kappa: 0.241, kb_relative_information_score: 1002.1166, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8395, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8589, total_cost: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, average_cost: 0.293, f_measure: 0.8027, kappa: 0.1834, kb_relative_information_score: 897.2756, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8392, predictive_accuracy: 0.8503, prior_entropy: 0.6457, recall: 0.8503, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8652, total_cost: 2455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, average_cost: 0.2967, f_measure: 0.7989, kappa: 0.1665, kb_relative_information_score: 877.3779, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8375, predictive_accuracy: 0.8488, prior_entropy: 0.6457, recall: 0.8488, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8666, total_cost: 2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, average_cost: 0.3039, f_measure: 0.7907, kappa: 0.1298, kb_relative_information_score: 759.7738, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8428, predictive_accuracy: 0.8465, prior_entropy: 0.6457, recall: 0.8465, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.8748, total_cost: 2546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, average_cost: 0.3154, f_measure: 0.7907, kappa: 0.2265, kb_relative_information_score: 331.4015, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7873, predictive_accuracy: 0.7945, prior_entropy: 0.6457, recall: 0.7945, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.182, total_cost: 2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 0.2593, 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: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, 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: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 0.3124, 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: 2617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, average_cost: 0.3225, 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: 2702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, average_cost: 0.3287, 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: 2754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, average_cost: 0.3294, 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: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, average_cost: 0.3294, 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: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 0.2806, 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: 2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 0.2774, 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: 2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 0.3146, 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: 2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, average_cost: 0.2942, 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: 2465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, average_cost: 0.2823, f_measure: 0.8137, kappa: 0.2334, kb_relative_information_score: 972.466, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8387, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602, total_cost: 2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 0.2774, 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: 2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, average_cost: 0.2633, 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: 2206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, average_cost: 0.2678, 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: 2244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 0.2559, 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: 2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 0.2559, 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: 2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 0.2559, 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: 2144,

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

OpenML bootcamp

From your own software

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

OpenML APIs