OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14665 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14665 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9469, kappa: 0.9446, kb_relative_information_score: 7445.9061, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9473, predictive_accuracy: 0.9468, prior_entropy: 4.7004, recall: 0.9468, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, kappa: 0.052, kb_relative_information_score: 604.3685, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0885, prior_entropy: 4.7004, recall: 0.0885, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2648, root_relative_squared_error: 1.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4179, kappa: -0.0005, kb_relative_information_score: 0.3062, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.038, prior_entropy: 4.7004, recall: 0.038, 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: 0.9963, f_measure: 0.8999, kappa: 0.8958, kb_relative_information_score: 6925.2949, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9004, predictive_accuracy: 0.8998, prior_entropy: 4.7004, recall: 0.8998, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9566, kappa: 0.9549, kb_relative_information_score: 62.8767, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9567, predictive_accuracy: 0.9566, prior_entropy: 4.7004, recall: 0.9566, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 32.6814, 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: 0.9994, f_measure: 0.969, kappa: 0.9677, kb_relative_information_score: 7466.8442, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 4.7004, recall: 0.969, relative_absolute_error: 0.0979, 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: 0.9977, f_measure: 0.9273, kappa: 0.9244, kb_relative_information_score: 6762.6974, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9278, predictive_accuracy: 0.9273, prior_entropy: 4.7004, recall: 0.9273, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, kappa: -0.0032, kb_relative_information_score: 195.4673, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0353, prior_entropy: 4.7004, recall: 0.0353, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3652, kappa: 0.0002, kb_relative_information_score: 21.7936, 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: 0.9996, f_measure: 0.974, kappa: 0.9729, kb_relative_information_score: 7490.681, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 4.7004, recall: 0.974, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.2262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, kappa: 0.5065, kb_relative_information_score: 2991.9819, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.5255, prior_entropy: 4.7004, recall: 0.5255, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8713, kappa: 0.8639, kb_relative_information_score: 6363.0221, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8812, predictive_accuracy: 0.8692, prior_entropy: 4.7004, recall: 0.8692, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9214, kappa: 0.9184, kb_relative_information_score: 6926.9845, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.7004, recall: 0.9215, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, kappa: 0.5884, kb_relative_information_score: 3566.7025, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.6042, prior_entropy: 4.7004, recall: 0.6042, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9285, kappa: 0.9257, kb_relative_information_score: 6932.5668, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.929, predictive_accuracy: 0.9286, prior_entropy: 4.7004, recall: 0.9286, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4079, kappa: -0.004, kb_relative_information_score: 0.1775, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0346, prior_entropy: 4.7004, recall: 0.0346, 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: 0.9996, f_measure: 0.9749, kappa: 0.9739, kb_relative_information_score: 7494.6378, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 4.7004, recall: 0.9749, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8653, kappa: 0.8607, kb_relative_information_score: 12.4912, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8691, predictive_accuracy: 0.8661, prior_entropy: 4.7004, recall: 0.8661, 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: 0.9996, f_measure: 0.9737, kappa: 0.9727, kb_relative_information_score: 7489.4426, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9738, predictive_accuracy: 0.9737, prior_entropy: 4.7004, recall: 0.9737, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9733, kappa: 0.9723, kb_relative_information_score: 7499.1734, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9734, predictive_accuracy: 0.9733, prior_entropy: 4.7004, recall: 0.9733, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.2226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9743, kappa: 0.9733, kb_relative_information_score: 7493.0383, mean_absolute_error: 0.0066, 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: 0.0898, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9361, kappa: 0.9333, kb_relative_information_score: 7282.5531, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.937, predictive_accuracy: 0.9359, prior_entropy: 4.7004, recall: 0.9359, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9255, kappa: 0.9225, kb_relative_information_score: 6922.4112, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9258, predictive_accuracy: 0.9255, prior_entropy: 4.7004, recall: 0.9255, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9522, kappa: 0.9502, kb_relative_information_score: 40.7746, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9524, predictive_accuracy: 0.9522, prior_entropy: 4.7004, recall: 0.9522, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9439, kappa: 0.9417, kb_relative_information_score: 7329.6938, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 4.7004, recall: 0.944, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.2297, 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: 0.9996, f_measure: 0.9759, kappa: 0.9749, kb_relative_information_score: 7526.0769, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 4.7004, recall: 0.9759, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.2112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9728, kappa: 0.9717, kb_relative_information_score: 7482.2206, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 4.7004, recall: 0.9728, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9134, kappa: 0.9097, kb_relative_information_score: 6654.5015, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9206, predictive_accuracy: 0.9132, prior_entropy: 4.7004, recall: 0.9132, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, kb_relative_information_score: 0.175, 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: 0.4999, kappa: -0.0001, kb_relative_information_score: 26.7579, 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: 0.473, kb_relative_information_score: 0.1892, 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: 0.5001, kb_relative_information_score: 25.1178, 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: 0.9996, f_measure: 0.9742, kappa: 0.9732, kb_relative_information_score: 7501.9875, mean_absolute_error: 0.0066, 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: 0.0888, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0426, root_relative_squared_error: 0.2217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9711, kappa: 0.97, kb_relative_information_score: 7485.1247, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9712, predictive_accuracy: 0.9711, prior_entropy: 4.7004, recall: 0.9711, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 35.0121, 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: 0.999, f_measure: 0.9492, kappa: 0.9472, kb_relative_information_score: 7360.1568, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9493, predictive_accuracy: 0.9492, prior_entropy: 4.7004, recall: 0.9492, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.2877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9041, kappa: 0.9, kb_relative_information_score: 7064.557, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9047, predictive_accuracy: 0.9038, prior_entropy: 4.7004, recall: 0.9038, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.075, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, kappa: 0.1399, kb_relative_information_score: 151.4038, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.173, prior_entropy: 4.7004, recall: 0.173, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9605, kappa: 0.9589, kb_relative_information_score: 37.1529, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 4.7004, recall: 0.9605, 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: 0.9995, f_measure: 0.9727, kappa: 0.9716, kb_relative_information_score: 7487.5569, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 4.7004, recall: 0.9727, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, kb_relative_information_score: 0.297, 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: 0.9719, kappa: 0.9708, kb_relative_information_score: 7487.7095, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.972, predictive_accuracy: 0.9719, prior_entropy: 4.7004, recall: 0.9719, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.2282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, kappa: 0.0012, kb_relative_information_score: 24.2248, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0394, prior_entropy: 4.7004, recall: 0.0394, 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: 0.9997, f_measure: 0.9741, kappa: 0.9731, kb_relative_information_score: 7522.4191, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 4.7004, recall: 0.9741, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9538, kappa: 0.952, kb_relative_information_score: 19.9635, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9539, predictive_accuracy: 0.9538, prior_entropy: 4.7004, recall: 0.9538, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9223, kappa: 0.9192, kb_relative_information_score: 6930.8146, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9227, predictive_accuracy: 0.9223, prior_entropy: 4.7004, recall: 0.9223, relative_absolute_error: 0.2398, 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: 0.5612, kappa: 0.2114, kb_relative_information_score: 19.7232, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2418, prior_entropy: 4.7004, recall: 0.2418, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9214, kappa: 0.9184, kb_relative_information_score: 6926.9845, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.7004, recall: 0.9215, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9207, kappa: 0.9174, kb_relative_information_score: 6828.8774, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9212, predictive_accuracy: 0.9206, prior_entropy: 4.7004, recall: 0.9206, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9209, kappa: 0.9182, kb_relative_information_score: 14.0856, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.925, predictive_accuracy: 0.9214, prior_entropy: 4.7004, recall: 0.9214, 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: 0.9984, f_measure: 0.9417, kappa: 0.9394, kb_relative_information_score: 6805.0828, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.942, predictive_accuracy: 0.9418, prior_entropy: 4.7004, recall: 0.9418, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9728, kappa: 0.9717, kb_relative_information_score: 7487.6407, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 4.7004, recall: 0.9728, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.2283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9432, kappa: 0.9409, kb_relative_information_score: 6939.5557, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9434, predictive_accuracy: 0.9432, prior_entropy: 4.7004, recall: 0.9432, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9688, kappa: 0.9676, kb_relative_information_score: 7465.3181, mean_absolute_error: 0.0073, 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: 0.0986, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.967, kappa: 0.9657, kb_relative_information_score: 7457.0358, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9671, predictive_accuracy: 0.967, prior_entropy: 4.7004, recall: 0.967, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3159, kappa: -0.0141, kb_relative_information_score: 0.5456, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0249, prior_entropy: 4.7004, recall: 0.0249, 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: 0.9991, f_measure: 0.9516, kappa: 0.9497, kb_relative_information_score: 7377.8773, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9518, predictive_accuracy: 0.9516, prior_entropy: 4.7004, recall: 0.9516, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.2815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9705, kappa: 0.9693, kb_relative_information_score: 7472.8829, 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: 0.097, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.2343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9284, kappa: 0.9254, kb_relative_information_score: 14.9235, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9291, predictive_accuracy: 0.9283, prior_entropy: 4.7004, recall: 0.9283, 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: 0.9992, f_measure: 0.9546, kappa: 0.9528, kb_relative_information_score: 7397.8106, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9548, predictive_accuracy: 0.9546, prior_entropy: 4.7004, recall: 0.9546, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, kappa: 0.0043, kb_relative_information_score: 93.6654, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0425, prior_entropy: 4.7004, recall: 0.0425, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9027, kappa: 0.8988, kb_relative_information_score: 6792.2583, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9036, predictive_accuracy: 0.9027, prior_entropy: 4.7004, recall: 0.9027, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.083, root_relative_squared_error: 0.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9725, kappa: 0.9715, kb_relative_information_score: 7486.5649, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 4.7004, recall: 0.9726, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9415, kappa: 0.9392, kb_relative_information_score: 16.4176, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9422, predictive_accuracy: 0.9415, prior_entropy: 4.7004, recall: 0.9415, 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: 0.9995, f_measure: 0.9742, kappa: 0.9732, kb_relative_information_score: 7494.1169, 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: 0.0907, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9728, kappa: 0.9717, kb_relative_information_score: 7482.2654, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.973, predictive_accuracy: 0.9728, prior_entropy: 4.7004, recall: 0.9728, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4087, kappa: -0.0065, kb_relative_information_score: 0.2368, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0322, prior_entropy: 4.7004, recall: 0.0322, 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: 0.6253, kappa: -0.0026, kb_relative_information_score: 118.8788, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0358, prior_entropy: 4.7004, recall: 0.0358, relative_absolute_error: 0.9979, 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: 0.9992, f_measure: 0.9552, kappa: 0.953, kb_relative_information_score: 7354.7826, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9566, predictive_accuracy: 0.9549, prior_entropy: 4.7004, recall: 0.9549, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.2826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9732, kappa: 0.9721, kb_relative_information_score: 7482.9515, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 4.7004, recall: 0.9732, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.2296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9738, kappa: 0.9728, kb_relative_information_score: 7491.8222, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 4.7004, recall: 0.9738, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.947, kappa: 0.9449, kb_relative_information_score: 46.4263, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9472, predictive_accuracy: 0.947, prior_entropy: 4.7004, recall: 0.947, 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: 0.9995, f_measure: 0.973, kappa: 0.9719, kb_relative_information_score: 7479.407, mean_absolute_error: 0.0069, 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: 0.093, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9483, kappa: 0.9462, kb_relative_information_score: 7007.2014, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9484, predictive_accuracy: 0.9483, prior_entropy: 4.7004, recall: 0.9483, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.3105, 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: 0.9481, kappa: 0.1822, kb_relative_information_score: 2274.9193, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2137, prior_entropy: 4.7004, recall: 0.2137, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.966, kappa: 0.9647, kb_relative_information_score: 7445.4803, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 4.7004, recall: 0.966, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9439, kappa: 0.9417, kb_relative_information_score: 62.3746, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 4.7004, recall: 0.944, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9081, kappa: 0.9044, kb_relative_information_score: 6728.4905, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9088, predictive_accuracy: 0.908, prior_entropy: 4.7004, recall: 0.908, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.932, kappa: 0.9293, kb_relative_information_score: 6950.8501, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9324, predictive_accuracy: 0.932, prior_entropy: 4.7004, recall: 0.932, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9768, kappa: 0.9759, kb_relative_information_score: 7531.1601, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9769, predictive_accuracy: 0.9768, prior_entropy: 4.7004, recall: 0.9768, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8797, kappa: 0.8764, kb_relative_information_score: 8.8585, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8874, predictive_accuracy: 0.8811, prior_entropy: 4.7004, recall: 0.8811, 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: 0.9974, f_measure: 0.9483, kappa: 0.9462, kb_relative_information_score: 30.9526, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.949, predictive_accuracy: 0.9483, prior_entropy: 4.7004, recall: 0.9483, 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: 0.9683, kappa: 0.9671, kb_relative_information_score: 7465.3333, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 4.7004, recall: 0.9683, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.2393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 7488.8291, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.973, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9268, kappa: 0.9241, kb_relative_information_score: 7220.3901, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9269, predictive_accuracy: 0.927, prior_entropy: 4.7004, recall: 0.927, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9115, kappa: 0.8978, kb_relative_information_score: 6999.1009, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9331, predictive_accuracy: 0.9018, prior_entropy: 4.7004, recall: 0.9018, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.3875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9745, kappa: 0.9735, kb_relative_information_score: 7514.1303, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 4.7004, recall: 0.9745, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9736, kappa: 0.9725, kb_relative_information_score: 7484.0941, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 4.7004, recall: 0.9736, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.457, kappa: -0.0008, kb_relative_information_score: 0.2534, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0377, prior_entropy: 4.7004, recall: 0.0377, 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: 0.9994, f_measure: 0.9692, kappa: 0.968, kb_relative_information_score: 7465.2159, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 4.7004, recall: 0.9692, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9278, kappa: 0.9249, kb_relative_information_score: 7061.1711, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9282, predictive_accuracy: 0.9278, prior_entropy: 4.7004, recall: 0.9278, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.353, kappa: 0.3462, kb_relative_information_score: 2350.5471, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.4136, predictive_accuracy: 0.3713, prior_entropy: 4.7004, recall: 0.3713, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, kappa: -0.0135, kb_relative_information_score: 0.2639, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0255, prior_entropy: 4.7004, recall: 0.0255, 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: 0.9937, f_measure: 0.8976, kappa: 0.8938, kb_relative_information_score: 6877.0573, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8978, predictive_accuracy: 0.8979, prior_entropy: 4.7004, recall: 0.8979, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9739, kappa: 0.9728, kb_relative_information_score: 7493.1379, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 4.7004, recall: 0.9738, relative_absolute_error: 0.0909, 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: 0.9065, kappa: 0.25, kb_relative_information_score: 3.149, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2788, prior_entropy: 4.7004, recall: 0.2788, 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: 0.9993, f_measure: 0.9631, kappa: 0.9616, kb_relative_information_score: 7433.274, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9633, predictive_accuracy: 0.9631, prior_entropy: 4.7004, recall: 0.9631, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.2572,

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

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

OpenML APIs