OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125968 Supervised Classification SpeedDating 1170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, 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: 0.8643, 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: 0.8549, 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: 0.8613, 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: 0.8643, 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: 0.8605, 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: 0.8636, 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: 0.8654, 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: 0.8661, 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: 0.8658, 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: 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: 0.8665, 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: 0.8631, 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: 0.8605, 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: 0.8666, 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: 0.8647, 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: 0.8624, 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: 0.8656, 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: 0.8656, 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: 0.864, 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: 0.6663, 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: 0.8654, 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: 0.8653, 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: 0.8658, 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: 0.4999, 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: 0.8345, 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: 0.8119, 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: 0.4999, 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: 0.8598, 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: 0.8655, 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: 0.8647, 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: 0.8616, 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: 0.8633, 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: 0.8311, 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: 0.8099, 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: 0.8649, 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: 0.8648, 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: 0.6695, 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: 0.8572, 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: 0.8613, 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: 0.8583, average_cost: 7.0375, f_measure: 0.8074, kappa: 0.2042, kb_relative_information_score: 911.3315, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.841, predictive_accuracy: 0.8522, prior_entropy: 0.6457, recall: 0.8522, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8637, total_cost: 58960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, average_cost: 5.5929, f_measure: 0.8384, kappa: 0.3583, kb_relative_information_score: 1740.2314, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8385, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.315, root_relative_squared_error: 0.8492, total_cost: 46857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, average_cost: 5.8978, f_measure: 0.8333, kappa: 0.331, kb_relative_information_score: 3075.8997, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8368, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.0186, total_cost: 49412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, average_cost: 5.8744, f_measure: 0.8336, kappa: 0.333, kb_relative_information_score: 3075.8997, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8368, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.0186, total_cost: 49216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, average_cost: 5.8921, f_measure: 0.8333, kappa: 0.3312, kb_relative_information_score: 3071.4685, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8366, predictive_accuracy: 0.8571, prior_entropy: 0.6457, recall: 0.8571, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.378, root_relative_squared_error: 1.019, total_cost: 49364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, average_cost: 5.9273, f_measure: 0.8326, kappa: 0.3279, kb_relative_information_score: 3067.0373, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8364, predictive_accuracy: 0.857, prior_entropy: 0.6457, recall: 0.857, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3781, root_relative_squared_error: 1.0195, total_cost: 49659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, average_cost: 5.8401, f_measure: 0.8336, kappa: 0.3341, kb_relative_information_score: 3049.3127, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8357, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.0212, total_cost: 48928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, average_cost: 5.9277, f_measure: 0.8323, kappa: 0.3269, kb_relative_information_score: 3053.7439, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8358, predictive_accuracy: 0.8566, prior_entropy: 0.6457, recall: 0.8566, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3786, root_relative_squared_error: 1.0207, total_cost: 49662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, average_cost: 5.8977, f_measure: 0.8334, kappa: 0.3313, kb_relative_information_score: 3080.3308, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.837, predictive_accuracy: 0.8574, prior_entropy: 0.6457, recall: 0.8574, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3777, root_relative_squared_error: 1.0182, total_cost: 49411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, average_cost: 5.9038, f_measure: 0.8331, kappa: 0.3302, kb_relative_information_score: 3071.4685, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8366, predictive_accuracy: 0.8571, prior_entropy: 0.6457, recall: 0.8571, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.378, root_relative_squared_error: 1.019, total_cost: 49462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, average_cost: 6.0571, f_measure: 0.8297, kappa: 0.3138, kb_relative_information_score: 3027.1569, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8348, predictive_accuracy: 0.8559, prior_entropy: 0.6457, recall: 0.8559, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3796, root_relative_squared_error: 1.0233, total_cost: 50746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, average_cost: 5.4483, f_measure: 0.839, kappa: 0.3654, kb_relative_information_score: 3044.8815, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.837, predictive_accuracy: 0.8564, prior_entropy: 0.6457, recall: 0.8564, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.0216, total_cost: 45646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, average_cost: 4.6568, f_measure: 0.8356, kappa: 0.3849, kb_relative_information_score: 2464.3994, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8317, predictive_accuracy: 0.8408, prior_entropy: 0.6457, recall: 0.8408, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0758, total_cost: 39015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, average_cost: 4.6025, f_measure: 0.842, kappa: 0.4053, kb_relative_information_score: 2743.5626, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8379, predictive_accuracy: 0.8483, prior_entropy: 0.6457, recall: 0.8483, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3895, root_relative_squared_error: 1.0501, total_cost: 38560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, average_cost: 5.9899, f_measure: 0.8241, kappa: 0.2984, kb_relative_information_score: 489.8189, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8218, predictive_accuracy: 0.8471, prior_entropy: 0.6457, recall: 0.8471, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.343, root_relative_squared_error: 0.9247, total_cost: 50183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, average_cost: 5.9708, f_measure: 0.8082, kappa: 0.2523, kb_relative_information_score: -165.5509, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7995, predictive_accuracy: 0.8253, prior_entropy: 0.6457, recall: 0.8253, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0083, total_cost: 50023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -940.4154, mean_absolute_error: 0.2523, 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: 0.9166, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.9554, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, average_cost: 4.4093, f_measure: 0.8347, kappa: 0.392, kb_relative_information_score: 1348.8632, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8329, predictive_accuracy: 0.8368, prior_entropy: 0.6457, recall: 0.8368, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.9402, total_cost: 36941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, average_cost: 5.1527, f_measure: 0.8269, kappa: 0.3408, kb_relative_information_score: 2350.8174, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8211, predictive_accuracy: 0.8362, prior_entropy: 0.6457, recall: 0.8362, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3867, root_relative_squared_error: 1.0424, total_cost: 43169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -541.4156, mean_absolute_error: 0.2642, 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: 0.9601, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.9209, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, average_cost: 5.2774, f_measure: 0.8422, kappa: 0.3815, kb_relative_information_score: 1288.6192, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8396, predictive_accuracy: 0.8577, prior_entropy: 0.6457, recall: 0.8577, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624, total_cost: 44214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, average_cost: 5.5128, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719, total_cost: 46186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, average_cost: 5.3855, f_measure: 0.8432, kappa: 0.3809, kb_relative_information_score: 1208.6945, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8427, predictive_accuracy: 0.8607, prior_entropy: 0.6457, recall: 0.8607, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8634, total_cost: 45120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, average_cost: 5.3651, f_measure: 0.8411, kappa: 0.375, kb_relative_information_score: 1198.6984, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8391, predictive_accuracy: 0.8577, prior_entropy: 0.6457, recall: 0.8577, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8633, total_cost: 44949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, average_cost: 5.3275, f_measure: 0.8436, kappa: 0.384, kb_relative_information_score: 1179.5654, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8423, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8635, total_cost: 44634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, average_cost: 5.3275, f_measure: 0.8436, kappa: 0.384, kb_relative_information_score: 1179.5654, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8423, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8635, total_cost: 44634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, average_cost: 5.3572, f_measure: 0.8428, kappa: 0.3806, kb_relative_information_score: 1182.6399, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8416, predictive_accuracy: 0.8598, prior_entropy: 0.6457, recall: 0.8598, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8637, total_cost: 44883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, average_cost: 5.3855, f_measure: 0.8432, kappa: 0.3809, kb_relative_information_score: 1208.6945, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8427, predictive_accuracy: 0.8607, prior_entropy: 0.6457, recall: 0.8607, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8634, total_cost: 45120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, average_cost: 5.3509, f_measure: 0.8433, kappa: 0.3823, kb_relative_information_score: 1156.4273, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8422, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8639, total_cost: 44830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, average_cost: 5.6864, f_measure: 0.8371, kappa: 0.3507, kb_relative_information_score: 1051.6215, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8382, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8747, total_cost: 47641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, average_cost: 5.6864, f_measure: 0.8371, kappa: 0.3507, kb_relative_information_score: 1051.6215, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8382, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8747, total_cost: 47641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, average_cost: 5.6864, f_measure: 0.8371, kappa: 0.3507, kb_relative_information_score: 1051.6215, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8382, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8747, total_cost: 47641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 5.3993, f_measure: 0.8414, kappa: 0.3748, kb_relative_information_score: 1210.9583, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8401, predictive_accuracy: 0.8587, prior_entropy: 0.6457, recall: 0.8587, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624, total_cost: 45235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, average_cost: 5.3051, f_measure: 0.8431, kappa: 0.3833, kb_relative_information_score: 1290.1799, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8413, predictive_accuracy: 0.8593, prior_entropy: 0.6457, recall: 0.8593, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 44446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, average_cost: 5.288, 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: 44303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, average_cost: 5.2587, 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: 44057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, average_cost: 5.3772, 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: 45050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 5.3121, 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: 44505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, average_cost: 8.23, 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: 68951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, average_cost: 7.0608, 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: 59155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, average_cost: 7.0764, 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: 59286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, average_cost: 6.1658, 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: 51657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 5.3119, 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: 44503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, average_cost: 5.3919, 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: 45173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, average_cost: 5.4287, 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: 45482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, average_cost: 5.4287, 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: 45482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, average_cost: 5.4431, 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: 45602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, average_cost: 5.4268, 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: 45466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, average_cost: 6.5907, 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: 55217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, average_cost: 6.2964, 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: 52751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, average_cost: 5.164, 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: 43264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, average_cost: 8.2359, 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: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, average_cost: 5.164, 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: 43264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, average_cost: 7.2918, f_measure: 0.799, kappa: 0.1665, kb_relative_information_score: 875.1845, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8415, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8658, total_cost: 61091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, average_cost: 7.0673, 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: 59210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, average_cost: 7.6001, 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: 63674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, average_cost: 5.524, 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: 46280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, average_cost: 5.764, 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: 48291,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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