OpenML
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: 0.9907, f_measure: 0.6543, kappa: 0.6755, kb_relative_information_score: 1012.1114, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6922, predictive_accuracy: 0.6788, prior_entropy: 6.6439, recall: 0.6788, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8367, kappa: 0.834, kb_relative_information_score: 983.7716, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8429, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, kappa: 0.2557, kb_relative_information_score: 311.0046, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2631, prior_entropy: 6.6439, recall: 0.2631, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4245, kappa: -0.0025, kb_relative_information_score: 50.6897, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, kappa: 0.0316, kb_relative_information_score: 25.2736, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0413, prior_entropy: 6.6439, recall: 0.0413, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.7919, kappa: 0.7891, kb_relative_information_score: 0.3437, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7987, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7469, kappa: 0.7551, kb_relative_information_score: 1120.6279, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7558, predictive_accuracy: 0.7575, prior_entropy: 6.6439, recall: 0.7575, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6177, kappa: 0.6307, kb_relative_information_score: 1099.9814, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6388, predictive_accuracy: 0.6344, prior_entropy: 6.6439, recall: 0.6344, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.6647, kappa: 0.6774, kb_relative_information_score: 1120.7388, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.673, predictive_accuracy: 0.6806, prior_entropy: 6.6439, recall: 0.6806, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.375, kappa: -0.0051, kb_relative_information_score: 2.1154, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7485, kappa: 0.7588, kb_relative_information_score: 1094.9562, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7717, predictive_accuracy: 0.7613, prior_entropy: 6.6439, recall: 0.7613, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3495, kappa: -0.0101, kb_relative_information_score: 41.7383, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.7035, kappa: 0.721, kb_relative_information_score: 983.1358, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7327, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8239, kappa: 0.8201, kb_relative_information_score: 982.0534, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8326, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8242, kappa: 0.8201, kb_relative_information_score: 985.3155, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8321, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.6939, kappa: 0.7027, kb_relative_information_score: 1123.1154, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7141, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, kappa: 0.6383, kb_relative_information_score: 724.3779, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6419, prior_entropy: 6.6439, recall: 0.6419, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3578, kappa: 0.0133, kb_relative_information_score: 13.069, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0231, prior_entropy: 6.6439, recall: 0.0231, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.6247, kappa: 0.6408, kb_relative_information_score: 1037.8225, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6432, predictive_accuracy: 0.6444, prior_entropy: 6.6439, recall: 0.6444, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.6386, kappa: 0.6521, kb_relative_information_score: 0.1061, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6594, predictive_accuracy: 0.6556, prior_entropy: 6.6439, recall: 0.6556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, kappa: 0.351, kb_relative_information_score: 442.1196, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3575, prior_entropy: 6.6439, recall: 0.3575, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, kappa: 0.6149, kb_relative_information_score: 1075.7693, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6188, prior_entropy: 6.6439, recall: 0.6188, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8251, kappa: 0.822, kb_relative_information_score: 984.886, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8331, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.6341, kappa: 0.6269, kb_relative_information_score: 1141.7343, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6861, predictive_accuracy: 0.6306, prior_entropy: 6.6439, recall: 0.6306, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.6593, kappa: 0.6755, kb_relative_information_score: 1089.0808, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6779, predictive_accuracy: 0.6788, prior_entropy: 6.6439, recall: 0.6788, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.6785, kappa: 0.6894, kb_relative_information_score: 1112.2898, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6838, predictive_accuracy: 0.6925, prior_entropy: 6.6439, recall: 0.6925, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.7617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3845, kappa: 0.0025, kb_relative_information_score: 9.0199, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, 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: 0.9951, f_measure: 0.7324, kappa: 0.7475, kb_relative_information_score: 911.8982, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7643, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7369, kappa: 0.7437, kb_relative_information_score: 1149.8226, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7515, predictive_accuracy: 0.7463, prior_entropy: 6.6439, recall: 0.7463, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.7251, kappa: 0.7266, kb_relative_information_score: 0.3933, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7338, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8483, kappa: 0.8453, kb_relative_information_score: 953.9923, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.853, predictive_accuracy: 0.8469, prior_entropy: 6.6439, recall: 0.8469, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, kappa: 0.5057, kb_relative_information_score: 545.3781, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5106, prior_entropy: 6.6439, recall: 0.5106, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, kappa: 0.5278, kb_relative_information_score: 997.8071, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5325, prior_entropy: 6.6439, recall: 0.5325, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2886, kappa: -0.0101, kb_relative_information_score: 0.9806, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8424, kappa: 0.839, kb_relative_information_score: 979.9083, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8472, predictive_accuracy: 0.8406, prior_entropy: 6.6439, recall: 0.8406, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, kappa: 0.4703, kb_relative_information_score: 610.2224, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4756, prior_entropy: 6.6439, recall: 0.4756, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.7095, kappa: 0.7052, kb_relative_information_score: 1262.7726, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7271, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7065, kappa: 0.7254, kb_relative_information_score: 902.7988, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7389, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.6925, kappa: 0.7045, kb_relative_information_score: 809.0218, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7236, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, kappa: 0.06, kb_relative_information_score: 19.9886, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0694, prior_entropy: 6.6439, recall: 0.0694, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8313, kappa: 0.8277, kb_relative_information_score: 980.1077, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8392, predictive_accuracy: 0.8294, prior_entropy: 6.6439, recall: 0.8294, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.6989, kappa: 0.7121, kb_relative_information_score: 1074.0182, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7215, predictive_accuracy: 0.715, prior_entropy: 6.6439, recall: 0.715, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8256, kappa: 0.8251, kb_relative_information_score: 0.6183, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8309, predictive_accuracy: 0.8269, prior_entropy: 6.6439, recall: 0.8269, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7591, kappa: 0.7614, kb_relative_information_score: 930.7789, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7743, predictive_accuracy: 0.7638, prior_entropy: 6.6439, recall: 0.7638, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7743, kappa: 0.7727, kb_relative_information_score: 961.5733, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7827, predictive_accuracy: 0.775, prior_entropy: 6.6439, recall: 0.775, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8379, kappa: 0.834, kb_relative_information_score: 988.828, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8458, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.7245, kappa: 0.7279, kb_relative_information_score: 1183.2707, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7329, predictive_accuracy: 0.7306, prior_entropy: 6.6439, recall: 0.7306, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.795, kappa: 0.791, kb_relative_information_score: 978.4112, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8037, predictive_accuracy: 0.7931, prior_entropy: 6.6439, recall: 0.7931, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4241, kappa: -0.0038, kb_relative_information_score: 6.8318, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0002, 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: 0.992, f_measure: 0.703, kappa: 0.7096, kb_relative_information_score: 889.5162, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7169, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8321, kappa: 0.8277, kb_relative_information_score: 989.3251, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8398, predictive_accuracy: 0.8294, prior_entropy: 6.6439, recall: 0.8294, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, kappa: 0.0417, kb_relative_information_score: 69.7853, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0513, prior_entropy: 6.6439, recall: 0.0513, relative_absolute_error: 0.9959, 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: 0.996, f_measure: 0.8191, kappa: 0.8188, kb_relative_information_score: 0.8411, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8236, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8212, kappa: 0.8239, kb_relative_information_score: 1183.4705, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.6031, kappa: 0.6067, kb_relative_information_score: 1133.237, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.607, predictive_accuracy: 0.6106, prior_entropy: 6.6439, recall: 0.6106, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.6376, kappa: 0.6616, kb_relative_information_score: 945.6473, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6892, predictive_accuracy: 0.665, prior_entropy: 6.6439, recall: 0.665, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, kappa: 0.0025, kb_relative_information_score: 47.9353, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7002, kappa: 0.7008, kb_relative_information_score: 1182.2533, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7084, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7072, kappa: 0.7109, kb_relative_information_score: 1169.5027, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7124, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, kappa: 0.5208, kb_relative_information_score: 1007.7392, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5256, prior_entropy: 6.6439, recall: 0.5256, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4228, kappa: -0.0038, kb_relative_information_score: 3.4366, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, 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: 0.8242, f_measure: 0.6525, kappa: 0.6484, kb_relative_information_score: 1041.7844, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6754, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8298, kappa: 0.8258, kb_relative_information_score: 988.7262, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8385, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.804, kappa: 0.8074, kb_relative_information_score: 1165.4533, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8119, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8288, kappa: 0.8289, kb_relative_information_score: 1397.9607, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8341, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8207, kappa: 0.8176, kb_relative_information_score: 983.6868, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8294, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, kappa: 0.0025, kb_relative_information_score: 70.2358, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.637, kappa: 0.661, kb_relative_information_score: 942.4924, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.685, predictive_accuracy: 0.6644, prior_entropy: 6.6439, recall: 0.6644, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, kappa: 0.2102, kb_relative_information_score: 293.1419, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2181, prior_entropy: 6.6439, recall: 0.2181, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.6883, kappa: 0.6932, kb_relative_information_score: 0.2334, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6984, predictive_accuracy: 0.6963, prior_entropy: 6.6439, recall: 0.6963, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8178, kappa: 0.8188, kb_relative_information_score: 1.1753, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8216, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.5706, kappa: 0.5859, kb_relative_information_score: 757.1517, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.577, predictive_accuracy: 0.59, prior_entropy: 6.6439, recall: 0.59, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6609, kappa: 0.6635, kb_relative_information_score: 1165.4063, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6707, predictive_accuracy: 0.6669, prior_entropy: 6.6439, recall: 0.6669, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3323, kappa: -0.0069, kb_relative_information_score: 3.3121, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, 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: 0.9932, kappa: 0.7014, kb_relative_information_score: 868.2042, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.6839, kappa: 0.6869, kb_relative_information_score: 0.4033, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6931, predictive_accuracy: 0.69, prior_entropy: 6.6439, recall: 0.69, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7608, kappa: 0.7557, kb_relative_information_score: 1337.5734, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7712, predictive_accuracy: 0.7581, prior_entropy: 6.6439, recall: 0.7581, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.5923, kappa: 0.6136, kb_relative_information_score: 1074.8837, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6233, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.6244, kappa: 0.6427, kb_relative_information_score: 1081.1395, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6562, predictive_accuracy: 0.6463, prior_entropy: 6.6439, recall: 0.6463, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3129, kappa: -0.0069, kb_relative_information_score: 4.3885, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 1.0002, 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: 0.9961, f_measure: 0.8259, kappa: 0.8258, kb_relative_information_score: 1.01, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.829, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, kappa: 0.0051, kb_relative_information_score: 33.1663, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.015, prior_entropy: 6.6439, recall: 0.015, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, kappa: 0.5657, kb_relative_information_score: 1058.3437, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.57, prior_entropy: 6.6439, recall: 0.57, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2238, kappa: 0.0177, kb_relative_information_score: 4.2298, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0275, prior_entropy: 6.6439, recall: 0.0275, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8356, kappa: 0.8327, kb_relative_information_score: 982.092, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.841, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2987, kappa: -0.0101, kb_relative_information_score: 14.8449, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.6392, kappa: 0.6458, kb_relative_information_score: 0.4117, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6488, predictive_accuracy: 0.6494, prior_entropy: 6.6439, recall: 0.6494, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, kappa: 0.7734, kb_relative_information_score: 904.1299, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.6502, kappa: 0.6313, kb_relative_information_score: 1177.8983, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7017, predictive_accuracy: 0.635, prior_entropy: 6.6439, recall: 0.635, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3659, kappa: -0.0051, kb_relative_information_score: 27.7781, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7724, kappa: 0.7771, kb_relative_information_score: 1138.9841, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7843, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.7241, kappa: 0.7266, kb_relative_information_score: 1180.4047, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7322, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.272, kappa: -0.0063, kb_relative_information_score: 1.9703, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, 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: 0.9888, kappa: 0.6711, kb_relative_information_score: 742.0185, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.5521, kappa: 0.5562, kb_relative_information_score: 0.131, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5637, predictive_accuracy: 0.5606, prior_entropy: 6.6439, recall: 0.5606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8151, kappa: 0.81, kb_relative_information_score: 981.9283, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8253, predictive_accuracy: 0.8119, prior_entropy: 6.6439, recall: 0.8119, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.6719, kappa: 0.6521, kb_relative_information_score: 1085.0415, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7286, predictive_accuracy: 0.6556, prior_entropy: 6.6439, recall: 0.6556, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.828, kappa: 0.8239, kb_relative_information_score: 986.3373, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8366, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, kappa: -0.0044, kb_relative_information_score: 41.1329, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,

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