Task
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50 study_7
Issue #Downvotes for this reason By


Metric:

13043 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.2485, kappa: 0.2361, kb_relative_information_score: 219.3315, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3048, predictive_accuracy: 0.2438, prior_entropy: 6.6439, recall: 0.2438, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.0021, kappa: 0.0082, kb_relative_information_score: 197.2416, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0012, predictive_accuracy: 0.0181, prior_entropy: 6.6439, recall: 0.0181, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.4547, kappa: 0.4539, kb_relative_information_score: 855.4986, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4657, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.7051, kappa: 0.7052, kb_relative_information_score: 1208.6973, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7128, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.3489, kappa: 0.3674, kb_relative_information_score: 831.1697, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3549, predictive_accuracy: 0.3738, prior_entropy: 6.6439, recall: 0.3738, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.6577, kappa: 0.666, kb_relative_information_score: 1103.7516, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6648, predictive_accuracy: 0.6694, prior_entropy: 6.6439, recall: 0.6694, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.7647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.6784, kappa: 0.6831, kb_relative_information_score: 1167.5143, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6866, predictive_accuracy: 0.6863, prior_entropy: 6.6439, recall: 0.6863, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.072, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8374, kappa: 0.8352, kb_relative_information_score: 1338.9852, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.845, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7145, kappa: 0.7178, kb_relative_information_score: 1300.7358, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7253, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.6177, kappa: 0.6136, kb_relative_information_score: 1071.4957, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.63, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.7716, kappa: 0.7639, kb_relative_information_score: 198.7803, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8091, predictive_accuracy: 0.7663, prior_entropy: 6.6439, recall: 0.7663, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.0063, kappa: 0.0133, kb_relative_information_score: 190.5144, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.007, predictive_accuracy: 0.0231, prior_entropy: 6.6439, recall: 0.0231, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.5456, kappa: 0.4867, kb_relative_information_score: 804.8979, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7167, predictive_accuracy: 0.4919, prior_entropy: 6.6439, recall: 0.4919, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.4031, kappa: 0.4059, kb_relative_information_score: 844.4162, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4125, predictive_accuracy: 0.4119, prior_entropy: 6.6439, recall: 0.4119, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.6409, kappa: 0.6452, kb_relative_information_score: 1120.9983, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6543, predictive_accuracy: 0.6488, prior_entropy: 6.6439, recall: 0.6488, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8467, kappa: 0.8441, kb_relative_information_score: 1423.4493, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8576, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.6702, kappa: 0.6622, kb_relative_information_score: 1073.0086, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6872, predictive_accuracy: 0.6656, prior_entropy: 6.6439, recall: 0.6656, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.796, kappa: 0.798, kb_relative_information_score: 1325.9937, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8024, predictive_accuracy: 0.8, prior_entropy: 6.6439, recall: 0.8, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.6002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8583, kappa: 0.8611, kb_relative_information_score: 1146.6933, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8648, predictive_accuracy: 0.8625, prior_entropy: 6.6439, recall: 0.8625, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.4722, kappa: 0.4659, kb_relative_information_score: 788.8515, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.485, predictive_accuracy: 0.4713, prior_entropy: 6.6439, recall: 0.4713, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8315, kappa: 0.8346, kb_relative_information_score: 1097.7904, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8384, predictive_accuracy: 0.8363, prior_entropy: 6.6439, recall: 0.8363, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7475, kappa: 0.7443, kb_relative_information_score: 1176.9312, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7609, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.4696, kappa: 0.4659, kb_relative_information_score: 851.4068, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4805, predictive_accuracy: 0.4713, prior_entropy: 6.6439, recall: 0.4713, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8469, kappa: 0.8434, kb_relative_information_score: 1392.4008, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8538, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8452, kappa: 0.8428, kb_relative_information_score: 1356.4308, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8514, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.0309, kappa: 0.0347, kb_relative_information_score: 67.6631, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0467, predictive_accuracy: 0.0444, prior_entropy: 6.6439, recall: 0.0444, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1382, root_relative_squared_error: 1.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.3864, kappa: 0.3801, kb_relative_information_score: 615.8569, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3981, predictive_accuracy: 0.3863, prior_entropy: 6.6439, recall: 0.3863, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1108, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.4602, kappa: 0.4577, kb_relative_information_score: 871.9587, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4734, predictive_accuracy: 0.4631, prior_entropy: 6.6439, recall: 0.4631, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7606, kappa: 0.7569, kb_relative_information_score: 1314.3065, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7759, predictive_accuracy: 0.7594, prior_entropy: 6.6439, recall: 0.7594, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.4496, kappa: 0.4508, kb_relative_information_score: 888.5363, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4579, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.7279, kappa: 0.7235, kb_relative_information_score: 237.9246, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7486, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.3856, kappa: 0.3977, kb_relative_information_score: 873.1119, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3888, predictive_accuracy: 0.4038, prior_entropy: 6.6439, recall: 0.4038, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.3159, kappa: 0.3403, kb_relative_information_score: 860.2567, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3254, predictive_accuracy: 0.3469, prior_entropy: 6.6439, recall: 0.3469, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.3777, kappa: 0.4148, kb_relative_information_score: 427.1196, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4827, predictive_accuracy: 0.4206, prior_entropy: 6.6439, recall: 0.4206, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.2266, kappa: 0.2664, kb_relative_information_score: 804.8595, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2315, predictive_accuracy: 0.2738, prior_entropy: 6.6439, recall: 0.2738, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.178, kappa: 0.2222, kb_relative_information_score: 773.5872, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.1691, predictive_accuracy: 0.23, prior_entropy: 6.6439, recall: 0.23, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.1102, kappa: 0.1496, kb_relative_information_score: 692.7754, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.1052, predictive_accuracy: 0.1581, prior_entropy: 6.6439, recall: 0.1581, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.0455, kappa: 0.0549, kb_relative_information_score: 269.3751, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0574, predictive_accuracy: 0.0644, prior_entropy: 6.6439, recall: 0.0644, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1026, root_relative_squared_error: 1.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.4681, kappa: 0.4924, kb_relative_information_score: 422.2018, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5189, predictive_accuracy: 0.4975, prior_entropy: 6.6439, recall: 0.4975, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.2157, kappa: 0.1944, kb_relative_information_score: 321.2153, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3052, predictive_accuracy: 0.2025, prior_entropy: 6.6439, recall: 0.2025, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.0839, kappa: 0.1199, kb_relative_information_score: 642.3374, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0801, predictive_accuracy: 0.1288, prior_entropy: 6.6439, recall: 0.1288, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.0429, kappa: 0.0726, kb_relative_information_score: 560.8216, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0345, predictive_accuracy: 0.0819, prior_entropy: 6.6439, recall: 0.0819, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.03, kappa: 0.0549, kb_relative_information_score: 524.8345, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0221, predictive_accuracy: 0.0644, prior_entropy: 6.6439, recall: 0.0644, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.0171, kappa: 0.0303, kb_relative_information_score: 453.943, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0118, predictive_accuracy: 0.04, prior_entropy: 6.6439, recall: 0.04, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.0068, kappa: 0.0139, kb_relative_information_score: 376.0822, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0042, predictive_accuracy: 0.0238, prior_entropy: 6.6439, recall: 0.0238, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8319, kappa: 0.8352, kb_relative_information_score: 1149.5299, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8383, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8414, kappa: 0.8441, kb_relative_information_score: 1170.7615, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8473, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.4083, kappa: 0.4066, kb_relative_information_score: 657.9485, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4129, predictive_accuracy: 0.4125, prior_entropy: 6.6439, recall: 0.4125, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1084, root_relative_squared_error: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.843, kappa: 0.8447, kb_relative_information_score: 1182.7252, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8478, predictive_accuracy: 0.8463, prior_entropy: 6.6439, recall: 0.8463, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.7099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8316, kappa: 0.8352, kb_relative_information_score: 1194.5547, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.836, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.5954, kappa: 0.5915, kb_relative_information_score: 1096.155, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6048, predictive_accuracy: 0.5956, prior_entropy: 6.6439, recall: 0.5956, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2547, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8306, kappa: 0.8321, kb_relative_information_score: 1204.5434, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8374, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8088, kappa: 0.8125, kb_relative_information_score: 1209.4277, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8162, predictive_accuracy: 0.8144, prior_entropy: 6.6439, recall: 0.8144, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.6861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.6772, kappa: 0.6705, kb_relative_information_score: 1228.3496, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6884, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.067, root_relative_squared_error: 0.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.6898, kappa: 0.6938, kb_relative_information_score: 1168.3507, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7033, predictive_accuracy: 0.6969, prior_entropy: 6.6439, recall: 0.6969, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.6347, kappa: 0.6496, kb_relative_information_score: 1064.1302, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6411, predictive_accuracy: 0.6531, prior_entropy: 6.6439, recall: 0.6531, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.6772, kappa: 0.6705, kb_relative_information_score: 1228.3496, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6884, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.067, root_relative_squared_error: 0.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8102, kappa: 0.8068, kb_relative_information_score: 1370.6444, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8163, predictive_accuracy: 0.8088, prior_entropy: 6.6439, recall: 0.8088, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.5586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8147, kappa: 0.8188, kb_relative_information_score: 1214.9364, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8202, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7906, kappa: 0.7936, kb_relative_information_score: 1216.3873, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 6.6439, recall: 0.7956, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7707, kappa: 0.7734, kb_relative_information_score: 1214.5001, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7778, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.7951, kappa: 0.7967, kb_relative_information_score: 1168.7269, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7707, kappa: 0.7734, kb_relative_information_score: 1214.5001, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7778, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7707, kappa: 0.7734, kb_relative_information_score: 1214.5001, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7778, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.7277, kappa: 0.7298, kb_relative_information_score: 1276.1268, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7306, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7707, kappa: 0.7734, kb_relative_information_score: 1214.5001, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7778, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7707, kappa: 0.7734, kb_relative_information_score: 1214.5001, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7778, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.4458, kappa: 0.4438, kb_relative_information_score: 817.2223, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.452, predictive_accuracy: 0.4494, prior_entropy: 6.6439, recall: 0.4494, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.095, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.4384, kappa: 0.4318, kb_relative_information_score: 779.9626, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4691, predictive_accuracy: 0.4375, prior_entropy: 6.6439, recall: 0.4375, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.7143, kappa: 0.7134, kb_relative_information_score: 1236.5056, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7262, predictive_accuracy: 0.7163, prior_entropy: 6.6439, recall: 0.7163, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.6399, kappa: 0.6446, kb_relative_information_score: 385.1732, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6432, predictive_accuracy: 0.6481, prior_entropy: 6.6439, recall: 0.6481, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8329, kappa: 0.8302, kb_relative_information_score: 1430.6473, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8404, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8535, kappa: 0.8535, kb_relative_information_score: 1430.8692, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8588, predictive_accuracy: 0.855, prior_entropy: 6.6439, recall: 0.855, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.5084, kappa: 0.5044, kb_relative_information_score: 827.9049, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5182, predictive_accuracy: 0.5094, prior_entropy: 6.6439, recall: 0.5094, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.1947, kappa: 0.2134, kb_relative_information_score: 458.5383, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2489, predictive_accuracy: 0.2213, prior_entropy: 6.6439, recall: 0.2213, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.0825, kappa: 0.113, kb_relative_information_score: 339.9918, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.099, predictive_accuracy: 0.1219, prior_entropy: 6.6439, recall: 0.1219, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4261, f_measure: 0.0005, kappa: -0.0038, kb_relative_information_score: 4.8982, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0003, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.684, kappa: 0.6862, kb_relative_information_score: 1216.0053, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6917, predictive_accuracy: 0.6894, prior_entropy: 6.6439, recall: 0.6894, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.6847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.6129, kappa: 0.6237, kb_relative_information_score: 571.5433, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6211, predictive_accuracy: 0.6275, prior_entropy: 6.6439, recall: 0.6275, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8473, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8506, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.4634, kappa: 0.459, kb_relative_information_score: 741.1297, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4738, predictive_accuracy: 0.4644, prior_entropy: 6.6439, recall: 0.4644, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1035, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7956, kappa: 0.7955, kb_relative_information_score: 1275.2929, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8081, predictive_accuracy: 0.7975, prior_entropy: 6.6439, recall: 0.7975, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8169, kappa: 0.8176, kb_relative_information_score: 1310.3693, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8212, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.871, kappa: 0.8731, kb_relative_information_score: 1398.5613, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8786, predictive_accuracy: 0.8744, prior_entropy: 6.6439, recall: 0.8744, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.858, kappa: 0.8561, kb_relative_information_score: 1371.5024, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.864, predictive_accuracy: 0.8575, prior_entropy: 6.6439, recall: 0.8575, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.7026, kappa: 0.7033, kb_relative_information_score: 1119.3867, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7095, predictive_accuracy: 0.7063, prior_entropy: 6.6439, recall: 0.7063, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5522, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.447, f_measure: 0.0003, kappa: -0.0013, kb_relative_information_score: 18.9043, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0088, prior_entropy: 6.6439, recall: 0.0088, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.7283, kappa: 0.7304, kb_relative_information_score: 1274.635, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7312, predictive_accuracy: 0.7331, prior_entropy: 6.6439, recall: 0.7331, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.858, kappa: 0.8561, kb_relative_information_score: 1395.3658, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.864, predictive_accuracy: 0.8575, prior_entropy: 6.6439, recall: 0.8575, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.5142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.843, kappa: 0.8409, kb_relative_information_score: 239.4561, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8478, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8623, kappa: 0.8643, kb_relative_information_score: 1144.4147, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8681, predictive_accuracy: 0.8656, prior_entropy: 6.6439, recall: 0.8656, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.843, kappa: 0.8409, kb_relative_information_score: 239.4561, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8478, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.6236, kappa: 0.6452, kb_relative_information_score: 832.6294, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6557, predictive_accuracy: 0.6488, prior_entropy: 6.6439, recall: 0.6488, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.472, kappa: 0.4697, kb_relative_information_score: 758.1668, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4822, predictive_accuracy: 0.475, prior_entropy: 6.6439, recall: 0.475, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1025, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.6506, kappa: 0.6528, kb_relative_information_score: 1123.0536, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6602, predictive_accuracy: 0.6563, prior_entropy: 6.6439, recall: 0.6563, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.0007, kappa: -0.0019, kb_relative_information_score: 33.7644, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0003, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.4999, kappa: 0.4968, kb_relative_information_score: 811.67, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.508, predictive_accuracy: 0.5019, prior_entropy: 6.6439, recall: 0.5019, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.8867,

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