Task
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: 0.8119, 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: 0.6379, average_cost: 5.5863, 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: 46802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, average_cost: 7.5228, 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: 63026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, average_cost: 7.2807, 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: 60998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, average_cost: 7.1739, 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: 60103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, average_cost: 6.7603, 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: 56638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, average_cost: 6.7764, 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: 56773,
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: 0.7418, average_cost: 8.0357, 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: 67323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, average_cost: 8.224, 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: 68901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, average_cost: 7.2807, 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: 60998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, average_cost: 8.2239, 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: 68900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, average_cost: 8.2181, 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: 68851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, average_cost: 7.3096, 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: 61240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, average_cost: 7.3274, 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: 61389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, average_cost: 6.8373, 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: 57283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, average_cost: 6.9014, 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: 57820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, average_cost: 7.0742, 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: 59268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, 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: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, average_cost: 8.224, 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: 68901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, average_cost: 7.3451, 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: 61537,
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: 0.8572, 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: 0.4999, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, average_cost: 6.9667, f_measure: 0.8095, kappa: 0.2139, kb_relative_information_score: 998.9329, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8404, predictive_accuracy: 0.8528, prior_entropy: 0.6457, recall: 0.8528, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8566, total_cost: 58367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, average_cost: 7.2271, f_measure: 0.8009, kappa: 0.1754, kb_relative_information_score: 949.9356, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8393, predictive_accuracy: 0.8497, prior_entropy: 0.6457, recall: 0.8497, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.8617, total_cost: 60549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, average_cost: 7.2209, f_measure: 0.8013, kappa: 0.177, kb_relative_information_score: 940.6817, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8407, predictive_accuracy: 0.8501, prior_entropy: 0.6457, recall: 0.8501, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8618, total_cost: 60497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, average_cost: 5.852, f_measure: 0.8332, kappa: 0.3325, kb_relative_information_score: 2851.0587, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8353, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9988, total_cost: 49028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, average_cost: 7.3094, f_measure: 0.7985, kappa: 0.1643, kb_relative_information_score: 900.7312, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8428, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8653, total_cost: 61238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, average_cost: 7.0308, f_measure: 0.8081, kappa: 0.207, kb_relative_information_score: 980.6694, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8443, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.858, total_cost: 58904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, average_cost: 7.0308, f_measure: 0.8081, kappa: 0.207, kb_relative_information_score: 979.0358, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8443, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.858, total_cost: 58904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, average_cost: 7.511, f_measure: 0.7911, kappa: 0.1317, kb_relative_information_score: 880.8528, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8425, predictive_accuracy: 0.8466, prior_entropy: 0.6457, recall: 0.8466, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.8701, total_cost: 62927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, average_cost: 7.4157, f_measure: 0.7949, kappa: 0.1481, kb_relative_information_score: 858.9906, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8451, predictive_accuracy: 0.8483, prior_entropy: 0.6457, recall: 0.8483, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8676, total_cost: 62129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, average_cost: 6.8592, f_measure: 0.8136, kappa: 0.2316, kb_relative_information_score: 1011.4398, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8448, predictive_accuracy: 0.8551, prior_entropy: 0.6457, recall: 0.8551, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546, total_cost: 57466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, average_cost: 7.4394, f_measure: 0.794, kappa: 0.1445, kb_relative_information_score: 852.3553, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8457, predictive_accuracy: 0.8481, prior_entropy: 0.6457, recall: 0.8481, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.871, total_cost: 62327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, average_cost: 6.6405, f_measure: 0.82, kappa: 0.2608, kb_relative_information_score: 996.1678, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8452, predictive_accuracy: 0.8574, prior_entropy: 0.6457, recall: 0.8574, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8542, total_cost: 55634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, average_cost: 6.8834, f_measure: 0.8124, kappa: 0.2268, kb_relative_information_score: 1010.2729, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8427, predictive_accuracy: 0.8543, prior_entropy: 0.6457, recall: 0.8543, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8549, total_cost: 57669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, average_cost: 6.9366, f_measure: 0.8108, kappa: 0.2193, kb_relative_information_score: 996.4311, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8425, predictive_accuracy: 0.8537, prior_entropy: 0.6457, recall: 0.8537, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.8563, total_cost: 58115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, average_cost: 7.0376, f_measure: 0.8073, kappa: 0.2039, kb_relative_information_score: 983.6902, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8405, predictive_accuracy: 0.8521, prior_entropy: 0.6457, recall: 0.8521, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.8578, total_cost: 58961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, average_cost: 7.1379, f_measure: 0.8043, kappa: 0.19, kb_relative_information_score: 968.2109, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8418, predictive_accuracy: 0.8513, prior_entropy: 0.6457, recall: 0.8513, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8591, total_cost: 59801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, average_cost: 7.2326, f_measure: 0.801, kappa: 0.1756, kb_relative_information_score: 949.7407, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8415, predictive_accuracy: 0.8501, prior_entropy: 0.6457, recall: 0.8501, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.8617, total_cost: 60595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, average_cost: 7.322, f_measure: 0.7975, kappa: 0.1605, kb_relative_information_score: 910.5755, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8382, predictive_accuracy: 0.8484, prior_entropy: 0.6457, recall: 0.8484, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8656, total_cost: 61344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, average_cost: 7.4819, f_measure: 0.7919, kappa: 0.1353, kb_relative_information_score: 865.7686, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8387, predictive_accuracy: 0.8465, prior_entropy: 0.6457, recall: 0.8465, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8708, total_cost: 62683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, average_cost: 6.8309, f_measure: 0.8135, kappa: 0.2324, kb_relative_information_score: 1014.5185, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8404, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8555, total_cost: 57229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, average_cost: 6.6303, f_measure: 0.8191, kappa: 0.258, kb_relative_information_score: 1004.2787, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8403, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8549, total_cost: 55549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, average_cost: 6.4893, f_measure: 0.8224, kappa: 0.2743, kb_relative_information_score: 956.9934, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8395, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.8578, total_cost: 54367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, average_cost: 7.2684, f_measure: 0.7996, kappa: 0.1695, kb_relative_information_score: 899.5405, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8399, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8634, total_cost: 60895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, average_cost: 7.2806, f_measure: 0.799, kappa: 0.1668, kb_relative_information_score: 899.6608, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8382, predictive_accuracy: 0.8489, prior_entropy: 0.6457, recall: 0.8489, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8632, total_cost: 60997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 7.2801, f_measure: 0.7993, kappa: 0.168, kb_relative_information_score: 902.429, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8407, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8632, total_cost: 60993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 7.2801, f_measure: 0.7993, kappa: 0.168, kb_relative_information_score: 902.429, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8407, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8632, total_cost: 60993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, average_cost: 7.2566, f_measure: 0.8, kappa: 0.1712, kb_relative_information_score: 900.8354, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8623, total_cost: 60796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, average_cost: 7.2566, f_measure: 0.8, kappa: 0.1712, kb_relative_information_score: 900.8354, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8623, total_cost: 60796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, average_cost: 7.2566, f_measure: 0.8, kappa: 0.1712, kb_relative_information_score: 900.8354, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8623, total_cost: 60796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, average_cost: 5.4068, f_measure: 0.84, kappa: 0.37, kb_relative_information_score: 1342.8534, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.838, predictive_accuracy: 0.857, prior_entropy: 0.6457, recall: 0.857, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.8575, total_cost: 45298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, average_cost: 5.3088, f_measure: 0.8448, kappa: 0.3884, kb_relative_information_score: 1197.6847, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8439, predictive_accuracy: 0.8614, prior_entropy: 0.6457, recall: 0.8614, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8626, total_cost: 44477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, average_cost: 5.3654, f_measure: 0.8409, kappa: 0.3743, kb_relative_information_score: 1216.7006, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8388, predictive_accuracy: 0.8575, prior_entropy: 0.6457, recall: 0.8575, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8622, total_cost: 44951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, average_cost: 7.2807, 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: 60998,
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: 0.8572, 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: 0.6695, average_cost: 5.4413, f_measure: 0.7915, kappa: 0.2358, kb_relative_information_score: -632.9496, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7898, predictive_accuracy: 0.7933, prior_entropy: 0.6457, recall: 0.7933, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.2262, total_cost: 45587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 7.357, f_measure: 0.7967, kappa: 0.1563, kb_relative_information_score: 885.6635, 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: 0.8653, total_cost: 61637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, average_cost: 7.351, f_measure: 0.7969, kappa: 0.1573, kb_relative_information_score: 885.7387, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8417, predictive_accuracy: 0.8487, prior_entropy: 0.6457, recall: 0.8487, 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: 61587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, average_cost: 4.1724, f_measure: 0.8345, kappa: 0.4003, kb_relative_information_score: 1068.8599, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.835, predictive_accuracy: 0.834, prior_entropy: 0.6457, recall: 0.834, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.9388, total_cost: 34956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, average_cost: 2.3547, f_measure: 0.788, kappa: 0.3691, kb_relative_information_score: -726.4197, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.7625, prior_entropy: 0.6457, recall: 0.7625, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.2199, total_cost: 19728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, average_cost: 7.0201, f_measure: 0.8077, kappa: 0.206, kb_relative_information_score: 989.2348, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8521, prior_entropy: 0.6457, recall: 0.8521, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8588, total_cost: 58814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, average_cost: 6.9721, f_measure: 0.8097, kappa: 0.2144, kb_relative_information_score: 971.0285, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8533, prior_entropy: 0.6457, recall: 0.8533, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602, total_cost: 58412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, average_cost: 7.0309, f_measure: 0.808, kappa: 0.2067, kb_relative_information_score: 996.2327, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8438, predictive_accuracy: 0.8529, prior_entropy: 0.6457, recall: 0.8529, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.8583, total_cost: 58905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, average_cost: 7.3327, f_measure: 0.7979, kappa: 0.1616, kb_relative_information_score: 889.7797, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8646, total_cost: 61433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, average_cost: 7.3041, f_measure: 0.7983, kappa: 0.1636, kb_relative_information_score: 869.4772, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, 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: 0.3216, root_relative_squared_error: 0.867, total_cost: 61194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, 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: 0.8345, average_cost: 2.4186, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 7.357, 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: 61637,
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: 0.7546, average_cost: 1.4181, f_measure: 0.7225, kappa: 0.3055, kb_relative_information_score: -3451.2012, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8554, predictive_accuracy: 0.6814, prior_entropy: 0.6457, recall: 0.6814, relative_absolute_error: 1.1575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.5217, total_cost: 11881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, average_cost: 4.0822, f_measure: 0.8325, kappa: 0.3984, kb_relative_information_score: 1841.5452, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8346, predictive_accuracy: 0.8305, prior_entropy: 0.6457, recall: 0.8305, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3836, root_relative_squared_error: 1.0343, total_cost: 34201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, average_cost: 6.3843, f_measure: 0.7825, kappa: 0.1627, kb_relative_information_score: 832.2435, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7716, predictive_accuracy: 0.7977, prior_entropy: 0.6457, recall: 0.7977, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4388, root_relative_squared_error: 1.183, total_cost: 53488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, average_cost: 6.666, 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: 55848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, average_cost: 5.6, f_measure: 0.7891, kappa: 0.2219, kb_relative_information_score: -330.5766, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.786, predictive_accuracy: 0.7924, prior_entropy: 0.6457, recall: 0.7924, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.1702, total_cost: 46917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, average_cost: 7.7483, 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: 64915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, average_cost: 8.1004, 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: 67865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, average_cost: 7.8078, 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: 65414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, average_cost: 7.867, 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: 65910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, average_cost: 7.8427, 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: 65706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, average_cost: 7.9012, 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: 66196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, average_cost: 7.8291, 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: 65592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, average_cost: 7.8247, 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: 65555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, average_cost: 7.8753, 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: 65979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, average_cost: 8.0604, 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: 67530,
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: 0.5946, average_cost: 8.066, 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: 67577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, average_cost: 8.0606, 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: 67532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, average_cost: 1.8747, f_measure: 0.7659, kappa: 0.3501, kb_relative_information_score: -1510.3525, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8515, predictive_accuracy: 0.7337, prior_entropy: 0.6457, recall: 0.7337, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.516, root_relative_squared_error: 1.3912, total_cost: 15706,
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: 0.6323, average_cost: 4.8239, f_measure: 0.7781, kappa: 0.2383, kb_relative_information_score: -265.1961, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7919, predictive_accuracy: 0.7672, prior_entropy: 0.6457, recall: 0.7672, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.3007, total_cost: 40415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, average_cost: 8.0998, 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: 67860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, average_cost: 4.6079, f_measure: 0.7575, kappa: 0.2102, kb_relative_information_score: -1364.1242, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7867, predictive_accuracy: 0.7376, prior_entropy: 0.6457, recall: 0.7376, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.3809, total_cost: 38605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 69000,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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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

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