OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9208, kappa: 0.8417, kb_relative_information_score: 488.8226, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9226, predictive_accuracy: 0.9209, prior_entropy: 1, recall: 0.9209, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8956, kappa: 0.7914, kb_relative_information_score: 466.9403, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8964, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7674, kappa: 0.5576, kb_relative_information_score: 233.1915, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8466, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 366.3565, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7878, predictive_accuracy: 0.7878, prior_entropy: 1, recall: 0.7878, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9028, kappa: 0.8058, kb_relative_information_score: 470.3408, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9039, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8218, kappa: 0.6439, kb_relative_information_score: 339.14, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8226, predictive_accuracy: 0.8219, prior_entropy: 1, recall: 0.8219, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 366.3565, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7878, predictive_accuracy: 0.7878, prior_entropy: 1, recall: 0.7878, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.7823, kappa: 0.5647, kb_relative_information_score: 328.4505, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7826, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 355.7506, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8256, predictive_accuracy: 0.8255, prior_entropy: 1, recall: 0.8255, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8795, kappa: 0.759, kb_relative_information_score: 430.5093, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8797, predictive_accuracy: 0.8795, prior_entropy: 1, recall: 0.8795, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.7823, kappa: 0.5647, kb_relative_information_score: 328.4505, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7826, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 518.2765, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9623, predictive_accuracy: 0.9622, prior_entropy: 1, recall: 0.9622, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.7984, kappa: 0.5971, kb_relative_information_score: 319.3347, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7998, predictive_accuracy: 0.7986, prior_entropy: 1, recall: 0.7986, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8668, kappa: 0.7338, kb_relative_information_score: 405.1804, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8676, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7913, kappa: 0.5827, kb_relative_information_score: 347.0289, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7919, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8579, kappa: 0.7158, kb_relative_information_score: 432.2041, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8585, predictive_accuracy: 0.8579, prior_entropy: 1, recall: 0.8579, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 366.3565, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7878, predictive_accuracy: 0.7878, prior_entropy: 1, recall: 0.7878, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9299, kappa: 0.8597, kb_relative_information_score: 493.2222, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.93, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8273, kappa: 0.6547, kb_relative_information_score: 344.5544, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8278, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 366.3565, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7878, predictive_accuracy: 0.7878, prior_entropy: 1, recall: 0.7878, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.946, kappa: 0.8921, kb_relative_information_score: 503.5449, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.946, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7333, kappa: 0.5, kb_relative_information_score: 202.4953, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8333, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8579, kappa: 0.7158, kb_relative_information_score: 432.2041, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8585, predictive_accuracy: 0.8579, prior_entropy: 1, recall: 0.8579, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8345, kappa: 0.6691, kb_relative_information_score: 363.3083, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8346, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8776, kappa: 0.7554, kb_relative_information_score: 445.6767, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8784, predictive_accuracy: 0.8777, prior_entropy: 1, recall: 0.8777, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8252, kappa: 0.6511, kb_relative_information_score: 334.9261, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8282, predictive_accuracy: 0.8255, prior_entropy: 1, recall: 0.8255, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7463, kappa: 0.5216, kb_relative_information_score: 221.9244, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8382, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7931, kappa: 0.5863, kb_relative_information_score: 374.7189, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7933, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8956, kappa: 0.7914, kb_relative_information_score: 466.9403, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8964, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7931, kappa: 0.5863, kb_relative_information_score: 374.7189, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7933, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8201, kappa: 0.6403, kb_relative_information_score: 363.2321, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8201, predictive_accuracy: 0.8201, prior_entropy: 1, recall: 0.8201, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8128, kappa: 0.6259, kb_relative_information_score: 321.1648, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8143, predictive_accuracy: 0.813, prior_entropy: 1, recall: 0.813, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8776, kappa: 0.7554, kb_relative_information_score: 445.6767, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8784, predictive_accuracy: 0.8777, prior_entropy: 1, recall: 0.8777, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8039, kappa: 0.6079, kb_relative_information_score: 320.1976, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.4304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7701, kappa: 0.5504, kb_relative_information_score: 241.8087, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8021, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.38, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8543, kappa: 0.7086, kb_relative_information_score: 393.118, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8543, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9172, kappa: 0.8345, kb_relative_information_score: 485.2114, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.919, predictive_accuracy: 0.9173, prior_entropy: 1, recall: 0.9173, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8102, kappa: 0.6331, kb_relative_information_score: 298.9249, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8658, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.775, kappa: 0.554, kb_relative_information_score: 253.5598, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.787, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8102, kappa: 0.6331, kb_relative_information_score: 298.9249, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8658, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7755, kappa: 0.5576, kb_relative_information_score: 250.4658, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.796, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8142, kappa: 0.6295, kb_relative_information_score: 318.8983, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8187, predictive_accuracy: 0.8147, prior_entropy: 1, recall: 0.8147, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7949, kappa: 0.5899, kb_relative_information_score: 367.8188, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7953, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8759, kappa: 0.7518, kb_relative_information_score: 445.8552, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8765, predictive_accuracy: 0.8759, prior_entropy: 1, recall: 0.8759, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8098, kappa: 0.6223, kb_relative_information_score: 310.2412, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8203, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7913, kappa: 0.5827, kb_relative_information_score: 347.0289, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7919, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.7823, kappa: 0.5647, kb_relative_information_score: 328.4505, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7826, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.7968, kappa: 0.5935, kb_relative_information_score: 341.314, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7968, predictive_accuracy: 0.7968, prior_entropy: 1, recall: 0.7968, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7701, kappa: 0.5504, kb_relative_information_score: 241.8087, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8021, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.38, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.8812, kappa: 0.7626, kb_relative_information_score: 427.5148, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.882, predictive_accuracy: 0.8813, prior_entropy: 1, recall: 0.8813, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8776, kappa: 0.7554, kb_relative_information_score: 445.6767, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8784, predictive_accuracy: 0.8777, prior_entropy: 1, recall: 0.8777, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 518.2765, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9623, predictive_accuracy: 0.9622, prior_entropy: 1, recall: 0.9622, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8668, kappa: 0.7338, kb_relative_information_score: 405.1804, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8676, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8142, kappa: 0.6295, kb_relative_information_score: 318.8983, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8187, predictive_accuracy: 0.8147, prior_entropy: 1, recall: 0.8147, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7611, kappa: 0.5468, kb_relative_information_score: 242.0298, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8441, predictive_accuracy: 0.7734, prior_entropy: 1, recall: 0.7734, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 329.3615, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7878, predictive_accuracy: 0.7878, prior_entropy: 1, recall: 0.7878, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9604, kappa: 0.9209, kb_relative_information_score: 516.8259, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 1, recall: 0.9604, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.775, kappa: 0.554, kb_relative_information_score: 253.5598, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.787, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 518.2765, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9623, predictive_accuracy: 0.9622, prior_entropy: 1, recall: 0.9622, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7931, kappa: 0.5863, kb_relative_information_score: 374.7189, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7933, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7913, kappa: 0.5827, kb_relative_information_score: 347.0289, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7919, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7913, kappa: 0.5827, kb_relative_information_score: 347.0289, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7919, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7913, kappa: 0.5827, kb_relative_information_score: 347.0289, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7919, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8129, kappa: 0.6259, kb_relative_information_score: 371.5667, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8134, predictive_accuracy: 0.813, prior_entropy: 1, recall: 0.813, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.296, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8201, kappa: 0.6403, kb_relative_information_score: 363.2321, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8201, predictive_accuracy: 0.8201, prior_entropy: 1, recall: 0.8201, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7347, kappa: 0.482, kb_relative_information_score: 204.1818, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7665, predictive_accuracy: 0.741, prior_entropy: 1, recall: 0.741, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.7823, kappa: 0.5647, kb_relative_information_score: 328.4505, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7826, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8201, kappa: 0.6403, kb_relative_information_score: 363.2321, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8201, predictive_accuracy: 0.8201, prior_entropy: 1, recall: 0.8201, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8579, kappa: 0.7158, kb_relative_information_score: 432.2041, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8585, predictive_accuracy: 0.8579, prior_entropy: 1, recall: 0.8579, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7333, kappa: 0.5, kb_relative_information_score: 202.4953, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8333, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8561, kappa: 0.7122, kb_relative_information_score: 432.3826, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8566, predictive_accuracy: 0.8561, prior_entropy: 1, recall: 0.8561, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7596, kappa: 0.5216, kb_relative_information_score: 252.9965, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.766, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8098, kappa: 0.6223, kb_relative_information_score: 310.2412, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8203, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.7823, kappa: 0.5647, kb_relative_information_score: 328.4505, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7826, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7405, kappa: 0.4892, kb_relative_information_score: 212.576, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7612, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.946, kappa: 0.8921, kb_relative_information_score: 503.5449, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.946, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207,

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

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From your own software

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

OpenML APIs