Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14515 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
Issue #Downvotes for this reason By


Metric:

14515 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: 0.9972, f_measure: 0.9396, kappa: 0.9372, kb_relative_information_score: 37.631, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9398, predictive_accuracy: 0.9396, prior_entropy: 4.7004, recall: 0.9396, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9257, kappa: 0.9226, kb_relative_information_score: 7027.3288, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.926, predictive_accuracy: 0.9256, prior_entropy: 4.7004, recall: 0.9256, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.3787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8327, kappa: 0.8253, kb_relative_information_score: 5235.296, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8409, predictive_accuracy: 0.832, prior_entropy: 4.7004, recall: 0.832, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9317, kappa: 0.929, kb_relative_information_score: 6825.3543, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9321, predictive_accuracy: 0.9318, prior_entropy: 4.7004, recall: 0.9318, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 31.6456, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9055, kappa: 0.9017, kb_relative_information_score: 6762.4266, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9066, predictive_accuracy: 0.9055, prior_entropy: 4.7004, recall: 0.9055, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.8078, kappa: 0.7911, kb_relative_information_score: 5893.7667, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8352, predictive_accuracy: 0.7992, prior_entropy: 4.7004, recall: 0.7992, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.973, kappa: 0.9719, kb_relative_information_score: 7482.1782, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9607, kappa: 0.9592, kb_relative_information_score: 57.0595, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9608, predictive_accuracy: 0.9608, prior_entropy: 4.7004, recall: 0.9608, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, kappa: 0.2736, kb_relative_information_score: 804.4098, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.3015, prior_entropy: 4.7004, recall: 0.3015, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3545, kappa: -0.0123, kb_relative_information_score: 0.4376, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0267, prior_entropy: 4.7004, recall: 0.0267, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.915, kappa: 0.9116, kb_relative_information_score: 6940.2788, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9155, predictive_accuracy: 0.915, prior_entropy: 4.7004, recall: 0.915, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.3991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.2092, kappa: 0.1955, kb_relative_information_score: 1635.1282, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.2758, predictive_accuracy: 0.2265, prior_entropy: 4.7004, recall: 0.2265, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9339, kappa: 0.9313, kb_relative_information_score: 6804.8583, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9342, predictive_accuracy: 0.9339, prior_entropy: 4.7004, recall: 0.9339, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9309, kappa: 0.9281, kb_relative_information_score: 6929.9957, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9312, predictive_accuracy: 0.9309, prior_entropy: 4.7004, recall: 0.9309, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9077, kappa: 0.904, kb_relative_information_score: 6919.1091, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9083, predictive_accuracy: 0.9077, prior_entropy: 4.7004, recall: 0.9077, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8673, kappa: 0.8619, kb_relative_information_score: 6301.6251, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8685, predictive_accuracy: 0.8673, prior_entropy: 4.7004, recall: 0.8673, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, kappa: 0.0016, kb_relative_information_score: 105.2791, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0398, prior_entropy: 4.7004, recall: 0.0398, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9704, kappa: 0.9692, kb_relative_information_score: 7469.2299, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 4.7004, recall: 0.9704, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.2366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 15.7513, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, kappa: 0.2651, kb_relative_information_score: 2204.4069, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2933, prior_entropy: 4.7004, recall: 0.2933, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9661, kappa: 0.9645, kb_relative_information_score: 7422.0548, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9671, predictive_accuracy: 0.9659, prior_entropy: 4.7004, recall: 0.9659, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9744, kappa: 0.9733, kb_relative_information_score: 7490.6913, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 4.7004, recall: 0.9743, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, kappa: 0.0045, kb_relative_information_score: 132.6827, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0426, prior_entropy: 4.7004, recall: 0.0426, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9263, kappa: 0.9234, kb_relative_information_score: 6980.058, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9266, predictive_accuracy: 0.9264, prior_entropy: 4.7004, recall: 0.9264, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8197, kappa: 0.825, kb_relative_information_score: 6187.4157, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8602, predictive_accuracy: 0.8317, prior_entropy: 4.7004, recall: 0.8317, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, kappa: 0.3105, kb_relative_information_score: 249.7251, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.3369, prior_entropy: 4.7004, recall: 0.3369, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9657, kappa: 0.9643, kb_relative_information_score: 7454.2734, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.966, predictive_accuracy: 0.9656, prior_entropy: 4.7004, recall: 0.9656, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9056, kappa: 0.9018, kb_relative_information_score: 6829.1809, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9066, predictive_accuracy: 0.9056, prior_entropy: 4.7004, recall: 0.9056, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9512, kappa: 0.9493, kb_relative_information_score: 7332.2522, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 4.7004, recall: 0.9513, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.2928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: 0.0001, kb_relative_information_score: 22.5767, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9154, kappa: 0.912, kb_relative_information_score: 6901.9046, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9159, predictive_accuracy: 0.9154, prior_entropy: 4.7004, recall: 0.9154, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8828, kappa: 0.8801, kb_relative_information_score: 8.4986, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8911, predictive_accuracy: 0.8847, prior_entropy: 4.7004, recall: 0.8847, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8227, kappa: 0.8143, kb_relative_information_score: 5882.0943, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8293, predictive_accuracy: 0.8215, prior_entropy: 4.7004, recall: 0.8215, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.117, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.7809, kappa: 0.7734, kb_relative_information_score: 6392.1589, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7849, predictive_accuracy: 0.7821, prior_entropy: 4.7004, recall: 0.7821, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.5558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, kappa: 0.0007, kb_relative_information_score: 101.3753, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.039, prior_entropy: 4.7004, recall: 0.039, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 30.4831, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4775, kappa: -0.0003, kb_relative_information_score: 0.2093, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9002, kappa: 0.896, kb_relative_information_score: 6432.7968, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9033, predictive_accuracy: 0.9, prior_entropy: 4.7004, recall: 0.9, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.5843, kappa: 0.5488, kb_relative_information_score: 1985.1419, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6295, predictive_accuracy: 0.5661, prior_entropy: 4.7004, recall: 0.5661, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9729, kappa: 0.9717, kb_relative_information_score: 7483.3626, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 4.7004, recall: 0.9728, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9277, kappa: 0.9248, kb_relative_information_score: 6977.0656, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9281, predictive_accuracy: 0.9277, prior_entropy: 4.7004, recall: 0.9277, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9682, kappa: 0.9669, kb_relative_information_score: 7465.744, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 4.7004, recall: 0.9682, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, kappa: 0.001, kb_relative_information_score: 135.8025, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0392, prior_entropy: 4.7004, recall: 0.0392, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9767, kappa: 0.9757, kb_relative_information_score: 7519.4566, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 4.7004, recall: 0.9767, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 35.1856, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9705, kappa: 0.9693, kb_relative_information_score: 7468.9891, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9706, predictive_accuracy: 0.9705, prior_entropy: 4.7004, recall: 0.9705, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9095, kappa: 0.9062, kb_relative_information_score: 7103.0382, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9099, predictive_accuracy: 0.9098, prior_entropy: 4.7004, recall: 0.9098, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.083, kappa: 0.0582, kb_relative_information_score: 595.4775, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1632, predictive_accuracy: 0.0944, prior_entropy: 4.7004, recall: 0.0944, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8915, kappa: 0.8878, kb_relative_information_score: 6763.0495, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9012, predictive_accuracy: 0.8921, prior_entropy: 4.7004, recall: 0.8921, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8959, kappa: 0.8916, kb_relative_information_score: 6759.1446, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.897, predictive_accuracy: 0.8957, prior_entropy: 4.7004, recall: 0.8957, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, kappa: -0.0079, kb_relative_information_score: 181.2078, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0308, prior_entropy: 4.7004, recall: 0.0308, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8937, kappa: 0.8701, kb_relative_information_score: 6764.7895, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9313, predictive_accuracy: 0.8751, prior_entropy: 4.7004, recall: 0.8751, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9092, kappa: 0.9056, kb_relative_information_score: 6761.2657, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9101, predictive_accuracy: 0.9092, prior_entropy: 4.7004, recall: 0.9092, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9071, kappa: 0.9034, kb_relative_information_score: 6895.4656, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9076, predictive_accuracy: 0.9071, prior_entropy: 4.7004, recall: 0.9071, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.3127, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9241, kappa: 0.921, kb_relative_information_score: 6929.1996, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9244, predictive_accuracy: 0.9241, prior_entropy: 4.7004, recall: 0.9241, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.3964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9079, kappa: 0.9042, kb_relative_information_score: 6867.3119, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9085, predictive_accuracy: 0.9079, prior_entropy: 4.7004, recall: 0.9079, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9046, kappa: 0.9008, kb_relative_information_score: 6744.7649, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9056, predictive_accuracy: 0.9046, prior_entropy: 4.7004, recall: 0.9046, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.7189, kappa: 0.6248, kb_relative_information_score: 1011.5362, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9031, predictive_accuracy: 0.6392, prior_entropy: 4.7004, recall: 0.6392, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9043, kappa: 0.9004, kb_relative_information_score: 6938.8965, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.905, predictive_accuracy: 0.9042, prior_entropy: 4.7004, recall: 0.9042, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9722, kappa: 0.9711, kb_relative_information_score: 7479.9188, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 4.7004, recall: 0.9722, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9595, kappa: 0.9579, kb_relative_information_score: 7421.0226, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9596, predictive_accuracy: 0.9595, prior_entropy: 4.7004, recall: 0.9595, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.918, kappa: 0.9148, kb_relative_information_score: 31.9418, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9189, predictive_accuracy: 0.918, prior_entropy: 4.7004, recall: 0.918, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9365, kappa: 0.934, kb_relative_information_score: 6963.8837, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9367, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.3851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9508, kappa: 0.9489, kb_relative_information_score: 27.1113, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 4.7004, recall: 0.9509, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.7511, kappa: 0.7535, kb_relative_information_score: 15.7585, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7646, predictive_accuracy: 0.763, prior_entropy: 4.7004, recall: 0.763, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9232, kappa: 0.9197, kb_relative_information_score: 7117.2983, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9268, predictive_accuracy: 0.9228, prior_entropy: 4.7004, recall: 0.9228, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9489, kappa: 0.9469, kb_relative_information_score: 30.9605, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9496, predictive_accuracy: 0.949, prior_entropy: 4.7004, recall: 0.949, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9001, kappa: 0.896, kb_relative_information_score: 6855.4704, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9009, predictive_accuracy: 0.9, prior_entropy: 4.7004, recall: 0.9, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9713, kappa: 0.9701, kb_relative_information_score: 7474.3219, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 4.7004, recall: 0.9713, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.045, root_relative_squared_error: 0.2342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.266, kappa: 0.0002, kb_relative_information_score: 26.9368, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9593, kappa: 0.9576, kb_relative_information_score: 27.2712, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9597, predictive_accuracy: 0.9592, prior_entropy: 4.7004, recall: 0.9592, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9595, kappa: 0.9579, kb_relative_information_score: 7433.4852, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 4.7004, recall: 0.9595, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.899, kappa: 0.8956, kb_relative_information_score: 6876.5629, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9009, predictive_accuracy: 0.8996, prior_entropy: 4.7004, recall: 0.8996, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9585, kappa: 0.9569, kb_relative_information_score: 59.4575, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9587, predictive_accuracy: 0.9586, prior_entropy: 4.7004, recall: 0.9586, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.97, kappa: 0.9688, kb_relative_information_score: 7469.9678, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 4.7004, recall: 0.97, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9132, kappa: 0.9097, kb_relative_information_score: 6846.3707, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9137, predictive_accuracy: 0.9132, prior_entropy: 4.7004, recall: 0.9132, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9339, kappa: 0.9313, kb_relative_information_score: 6914.2104, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9342, predictive_accuracy: 0.9339, prior_entropy: 4.7004, recall: 0.9339, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.97, kappa: 0.9688, kb_relative_information_score: 7472.9535, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 4.7004, recall: 0.97, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9761, kappa: 0.9752, kb_relative_information_score: 7518.3881, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 4.7004, recall: 0.9761, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9744, kappa: 0.9733, kb_relative_information_score: 7493.3496, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 4.7004, recall: 0.9743, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.2256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9734, kappa: 0.9723, kb_relative_information_score: 7483.9939, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9735, predictive_accuracy: 0.9733, prior_entropy: 4.7004, recall: 0.9733, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.322, kappa: -0.0113, kb_relative_information_score: 0.3635, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0276, prior_entropy: 4.7004, recall: 0.0276, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9077, kappa: 0.9038, kb_relative_information_score: 7001.03, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9083, predictive_accuracy: 0.9075, prior_entropy: 4.7004, recall: 0.9075, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.3969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0001, kb_relative_information_score: 25.4764, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9724, kappa: 0.9713, kb_relative_information_score: 7486.2443, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 4.7004, recall: 0.9724, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9682, kappa: 0.9669, kb_relative_information_score: 7469.1715, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9684, predictive_accuracy: 0.9682, prior_entropy: 4.7004, recall: 0.9682, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 7466.8866, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9643, predictive_accuracy: 0.9641, prior_entropy: 4.7004, recall: 0.9641, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.2438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9688, kappa: 0.9676, kb_relative_information_score: 7468.1826, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9689, predictive_accuracy: 0.9688, prior_entropy: 4.7004, recall: 0.9688, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.2379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9241, kappa: 0.921, kb_relative_information_score: 6793.7664, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9244, predictive_accuracy: 0.9241, prior_entropy: 4.7004, recall: 0.9241, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9602, kappa: 0.9587, kb_relative_information_score: 45.6142, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9603, predictive_accuracy: 0.9602, prior_entropy: 4.7004, recall: 0.9602, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8787, kappa: 0.8766, kb_relative_information_score: 9.6978, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8895, predictive_accuracy: 0.8814, prior_entropy: 4.7004, recall: 0.8814, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 0.2273, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8648, kappa: 0.8243, kb_relative_information_score: 6202.6542, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9279, predictive_accuracy: 0.8311, prior_entropy: 4.7004, recall: 0.8311, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9302, kappa: 0.9274, kb_relative_information_score: 6911.1599, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9305, predictive_accuracy: 0.9302, prior_entropy: 4.7004, recall: 0.9302, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.507, kappa: 0.541, kb_relative_information_score: 3321.3351, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6314, predictive_accuracy: 0.5587, prior_entropy: 4.7004, recall: 0.5587, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9742, kappa: 0.9732, kb_relative_information_score: 7496.0644, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 4.7004, recall: 0.9742, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.2245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9704, kappa: 0.9692, kb_relative_information_score: 7482.2439, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 4.7004, recall: 0.9704, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.2313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9205, kappa: 0.9173, kb_relative_information_score: 6921.4336, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.921, predictive_accuracy: 0.9205, prior_entropy: 4.7004, recall: 0.9205, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.4013,

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