Task
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125966 Supervised Classification SpeedDating 2539 runs submitted
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2539 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, kb_relative_information_score: -0.1171, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6455, recall: 0.8353, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.355, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, kb_relative_information_score: -0.1171, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6455, recall: 0.8353, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.355, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8043, kappa: 0.19, kb_relative_information_score: 877.8486, mean_absolute_error: 0.2217, 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: 0.8057, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8369, kappa: 0.3393, kb_relative_information_score: 1249.9394, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8498, predictive_accuracy: 0.864, prior_entropy: 0.6457, recall: 0.864, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8313, kappa: 0.3144, kb_relative_information_score: 1252.023, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8458, predictive_accuracy: 0.8611, prior_entropy: 0.6457, recall: 0.8611, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8356, kappa: 0.3356, kb_relative_information_score: 1223.9365, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.8619, prior_entropy: 0.6457, recall: 0.8619, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8397, kappa: 0.3534, kb_relative_information_score: 1232.3917, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8498, predictive_accuracy: 0.8648, prior_entropy: 0.6457, recall: 0.8648, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8384, kappa: 0.3495, kb_relative_information_score: 1318.8197, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8464, predictive_accuracy: 0.863, prior_entropy: 0.6457, recall: 0.863, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8375, kappa: 0.3451, kb_relative_information_score: 1234.3546, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.8626, prior_entropy: 0.6457, recall: 0.8626, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8364, kappa: 0.3371, kb_relative_information_score: 1207.7047, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8495, predictive_accuracy: 0.8638, prior_entropy: 0.6457, recall: 0.8638, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8438, kappa: 0.3755, kb_relative_information_score: 1385.4918, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8487, predictive_accuracy: 0.865, prior_entropy: 0.6457, recall: 0.865, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8391, kappa: 0.354, kb_relative_information_score: 1241.9321, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.8626, prior_entropy: 0.6457, recall: 0.8626, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8398, kappa: 0.3572, kb_relative_information_score: 1292.2984, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8455, predictive_accuracy: 0.8627, prior_entropy: 0.6457, recall: 0.8627, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8335, kappa: 0.3236, kb_relative_information_score: 1184.0239, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8482, predictive_accuracy: 0.8625, prior_entropy: 0.6457, recall: 0.8625, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8391, kappa: 0.3528, kb_relative_information_score: 1336.5454, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8464, predictive_accuracy: 0.8631, prior_entropy: 0.6457, recall: 0.8631, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8384, kappa: 0.3501, kb_relative_information_score: 1252.6392, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.8626, prior_entropy: 0.6457, recall: 0.8626, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.84, kappa: 0.3568, kb_relative_information_score: 1358.2568, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8473, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8357, kappa: 0.3366, kb_relative_information_score: 1271.4201, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8452, predictive_accuracy: 0.8619, prior_entropy: 0.6457, recall: 0.8619, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8376, kappa: 0.3449, kb_relative_information_score: 1267.5254, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.847, predictive_accuracy: 0.8631, prior_entropy: 0.6457, recall: 0.8631, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8427, kappa: 0.3695, kb_relative_information_score: 1387.4771, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.849, predictive_accuracy: 0.865, prior_entropy: 0.6457, recall: 0.865, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8398, kappa: 0.3564, kb_relative_information_score: 1250.8355, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8466, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8383, kappa: 0.346, kb_relative_information_score: 1283.5812, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8504, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.311, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8329, kappa: 0.3219, kb_relative_information_score: 1170.2697, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8463, predictive_accuracy: 0.8617, prior_entropy: 0.6457, recall: 0.8617, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8408, kappa: 0.3594, kb_relative_information_score: 1368.5138, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.849, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8369, kappa: 0.3393, kb_relative_information_score: 1245.8213, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8498, predictive_accuracy: 0.864, prior_entropy: 0.6457, recall: 0.864, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8375, kappa: 0.3467, kb_relative_information_score: 1354.9941, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8438, predictive_accuracy: 0.8615, prior_entropy: 0.6457, recall: 0.8615, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7617, kappa: 0.0058, kb_relative_information_score: 552.2313, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8358, prior_entropy: 0.6457, recall: 0.8358, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8379, kappa: 0.3467, kb_relative_information_score: 1280.7764, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8463, predictive_accuracy: 0.8629, prior_entropy: 0.6457, recall: 0.8629, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.312, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8411, kappa: 0.3604, kb_relative_information_score: 1312.3891, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8496, predictive_accuracy: 0.865, prior_entropy: 0.6457, recall: 0.865, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5347, f_measure: 0.7841, kappa: 0.1052, kb_relative_information_score: 2353.6203, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7966, predictive_accuracy: 0.8378, prior_entropy: 0.6457, recall: 0.8378, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.0858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.7613, kappa: 0.0044, kb_relative_information_score: 2269.4283, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8078, predictive_accuracy: 0.8355, prior_entropy: 0.6457, recall: 0.8355, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.0934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.7694, kappa: 0.0386, kb_relative_information_score: 2362.4827, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8231, predictive_accuracy: 0.838, prior_entropy: 0.6457, recall: 0.838, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.8277, kappa: 0.3001, kb_relative_information_score: 3093.6243, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8392, predictive_accuracy: 0.8577, prior_entropy: 0.6457, recall: 0.8577, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.838, kappa: 0.3465, kb_relative_information_score: 1270.2116, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8473, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.312, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.8473, kappa: 0.3967, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8477, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.8359, kappa: 0.3581, kb_relative_information_score: 2863.2039, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8319, predictive_accuracy: 0.8515, prior_entropy: 0.6457, recall: 0.8515, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3853, root_relative_squared_error: 1.0389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.8328, kappa: 0.3418, kb_relative_information_score: 2823.3235, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8292, predictive_accuracy: 0.8504, prior_entropy: 0.6457, recall: 0.8504, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3867, root_relative_squared_error: 1.0426,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.7658, kappa: 0.0232, kb_relative_information_score: 2318.171, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8186, predictive_accuracy: 0.8368, prior_entropy: 0.6457, recall: 0.8368, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.843, kappa: 0.3755, kb_relative_information_score: 3279.7331, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8451, predictive_accuracy: 0.8627, prior_entropy: 0.6457, recall: 0.8627, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.7695, kappa: 0.0392, kb_relative_information_score: 2309.3087, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7964, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0898,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs