Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 115365 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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115365 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.6673, kappa: 0.3345, kb_relative_information_score: 116.7785, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6673, predictive_accuracy: 0.6673, prior_entropy: 1, recall: 0.6673, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8111, kappa: 0.6223, kb_relative_information_score: 393.7319, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8112, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.7932, kappa: 0.5863, kb_relative_information_score: 375.39, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7932, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.795, kappa: 0.5899, kb_relative_information_score: 378.7323, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.795, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.7842, kappa: 0.5683, kb_relative_information_score: 361.5843, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7842, kappa: 0.5683, kb_relative_information_score: 366.2465, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.305, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8093, kappa: 0.6187, kb_relative_information_score: 393.1169, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8095, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9119, kappa: 0.8237, kb_relative_information_score: 471.9248, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9119, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 370.3074, mean_absolute_error: 0.1635, 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: 0.3271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8777, kappa: 0.7554, kb_relative_information_score: 445.1186, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8782, predictive_accuracy: 0.8777, prior_entropy: 1, recall: 0.8777, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8399, kappa: 0.6799, kb_relative_information_score: 415.01, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8401, predictive_accuracy: 0.8399, prior_entropy: 1, recall: 0.8399, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7914, kappa: 0.5827, kb_relative_information_score: 365.8017, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7914, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9136, kappa: 0.8273, kb_relative_information_score: 474.2356, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9142, predictive_accuracy: 0.9137, prior_entropy: 1, recall: 0.9137, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.7968, kappa: 0.5935, kb_relative_information_score: 378.3856, mean_absolute_error: 0.1562, 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: 0.3125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8543, kappa: 0.7086, kb_relative_information_score: 419.2902, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8544, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 365.2482, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.7986, kappa: 0.5971, kb_relative_information_score: 382.8669, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7986, predictive_accuracy: 0.7986, prior_entropy: 1, recall: 0.7986, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8741, kappa: 0.7482, kb_relative_information_score: 441.0729, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8743, predictive_accuracy: 0.8741, prior_entropy: 1, recall: 0.8741, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8398, kappa: 0.6799, kb_relative_information_score: 417.3497, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8407, predictive_accuracy: 0.8399, prior_entropy: 1, recall: 0.8399, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.7716, kappa: 0.5432, kb_relative_information_score: 352.6873, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7717, predictive_accuracy: 0.7716, prior_entropy: 1, recall: 0.7716, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8183, kappa: 0.6367, kb_relative_information_score: 398.5759, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8184, predictive_accuracy: 0.8183, prior_entropy: 1, recall: 0.8183, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8345, kappa: 0.6691, kb_relative_information_score: 400.9447, mean_absolute_error: 0.1357, 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: 0.2713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9604, kappa: 0.9209, kb_relative_information_score: 512, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9605, predictive_accuracy: 0.9604, prior_entropy: 1, recall: 0.9604, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8723, kappa: 0.7446, kb_relative_information_score: 439.2113, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8729, predictive_accuracy: 0.8723, prior_entropy: 1, recall: 0.8723, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8075, kappa: 0.6151, kb_relative_information_score: 387.2995, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8077, predictive_accuracy: 0.8076, prior_entropy: 1, recall: 0.8076, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8705, kappa: 0.741, kb_relative_information_score: 437.5288, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8706, predictive_accuracy: 0.8705, prior_entropy: 1, recall: 0.8705, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9082, kappa: 0.8165, kb_relative_information_score: 467.9725, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9087, predictive_accuracy: 0.9083, prior_entropy: 1, recall: 0.9083, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.7734, kappa: 0.5468, kb_relative_information_score: 351.3544, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7735, predictive_accuracy: 0.7734, prior_entropy: 1, recall: 0.7734, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9029, kappa: 0.8058, kb_relative_information_score: 463.9905, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9031, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.24, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.7914, kappa: 0.5827, kb_relative_information_score: 368.2034, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7914, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.7932, kappa: 0.5863, kb_relative_information_score: 375.1037, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7932, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 370.8815, mean_absolute_error: 0.1631, 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: 0.3262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7842, kappa: 0.5683, kb_relative_information_score: 361.2449, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8435, kappa: 0.6871, kb_relative_information_score: 414.3538, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8435, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 365.1583, mean_absolute_error: 0.1689, 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: 0.3379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.303, root_relative_squared_error: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9227, kappa: 0.8453, kb_relative_information_score: 480.1767, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9228, predictive_accuracy: 0.9227, prior_entropy: 1, recall: 0.9227, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8004, kappa: 0.6007, kb_relative_information_score: 384.0099, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8004, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8543, kappa: 0.7086, kb_relative_information_score: 422.2642, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8549, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9424, kappa: 0.8849, kb_relative_information_score: 500.4346, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 1, recall: 0.9424, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8344, kappa: 0.6691, kb_relative_information_score: 411.136, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8354, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.777, kappa: 0.554, kb_relative_information_score: 353.3289, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.777, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9137, kappa: 0.8273, kb_relative_information_score: 468.8496, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.914, predictive_accuracy: 0.9137, prior_entropy: 1, recall: 0.9137, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7805, kappa: 0.5612, kb_relative_information_score: 357.1459, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7809, predictive_accuracy: 0.7806, prior_entropy: 1, recall: 0.7806, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.82, kappa: 0.6403, kb_relative_information_score: 397.8675, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.821, predictive_accuracy: 0.8201, prior_entropy: 1, recall: 0.8201, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8398, kappa: 0.6799, kb_relative_information_score: 410.685, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8407, predictive_accuracy: 0.8399, prior_entropy: 1, recall: 0.8399, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.279, root_relative_squared_error: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.856, kappa: 0.7122, kb_relative_information_score: 426.0071, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8568, predictive_accuracy: 0.8561, prior_entropy: 1, recall: 0.8561, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8201, kappa: 0.6403, kb_relative_information_score: 403.572, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8202, predictive_accuracy: 0.8201, prior_entropy: 1, recall: 0.8201, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8345, kappa: 0.6691, kb_relative_information_score: 410.2874, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8352, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8614, kappa: 0.723, kb_relative_information_score: 426.5448, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8623, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8651, kappa: 0.7302, kb_relative_information_score: 431.6821, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8651, predictive_accuracy: 0.8651, prior_entropy: 1, recall: 0.8651, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8004, kappa: 0.6007, kb_relative_information_score: 378.6915, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8004, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8345, kappa: 0.6691, kb_relative_information_score: 413.6887, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8345, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8093, kappa: 0.6187, kb_relative_information_score: 392.1422, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8095, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 361.9843, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.7787, kappa: 0.5576, kb_relative_information_score: 357.0947, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7791, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.777, kappa: 0.554, kb_relative_information_score: 356.0235, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.777, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.7932, kappa: 0.5863, kb_relative_information_score: 374.2495, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7932, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.5997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.7716, kappa: 0.5432, kb_relative_information_score: 350.9012, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7717, predictive_accuracy: 0.7716, prior_entropy: 1, recall: 0.7716, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8201, kappa: 0.6403, kb_relative_information_score: 400.3031, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8202, predictive_accuracy: 0.8201, prior_entropy: 1, recall: 0.8201, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7788, kappa: 0.5576, kb_relative_information_score: 352.5012, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7788, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.7806, kappa: 0.5612, kb_relative_information_score: 357.5577, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 1, recall: 0.7806, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7932, kappa: 0.5863, kb_relative_information_score: 375.0902, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7932, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.7841, kappa: 0.5683, kb_relative_information_score: 357.8257, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7843, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8093, kappa: 0.6187, kb_relative_information_score: 393.7257, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8098, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.7914, kappa: 0.5827, kb_relative_information_score: 357.0426, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7914, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 404.7838, mean_absolute_error: 0.1329, 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: 0.2659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.847, kappa: 0.6942, kb_relative_information_score: 420.7314, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8479, predictive_accuracy: 0.8471, prior_entropy: 1, recall: 0.8471, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.7896, kappa: 0.5791, kb_relative_information_score: 374.1335, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7896, predictive_accuracy: 0.7896, prior_entropy: 1, recall: 0.7896, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.299, root_relative_squared_error: 0.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8345, kappa: 0.6691, kb_relative_information_score: 411.9336, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8352, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.277, root_relative_squared_error: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.7805, kappa: 0.5612, kb_relative_information_score: 357.4306, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7809, predictive_accuracy: 0.7806, prior_entropy: 1, recall: 0.7806, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9244, kappa: 0.8489, kb_relative_information_score: 480.585, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.925, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8975, kappa: 0.795, kb_relative_information_score: 462.4188, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8977, predictive_accuracy: 0.8975, prior_entropy: 1, recall: 0.8975, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.7914, kappa: 0.5827, kb_relative_information_score: 356.8118, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7914, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.308, root_relative_squared_error: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8417, kappa: 0.6835, kb_relative_information_score: 411.0777, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8418, predictive_accuracy: 0.8417, prior_entropy: 1, recall: 0.8417, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8237, kappa: 0.6475, kb_relative_information_score: 400.3923, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8239, predictive_accuracy: 0.8237, prior_entropy: 1, recall: 0.8237, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.7752, kappa: 0.5504, kb_relative_information_score: 353.141, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7752, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 365.2316, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.795, kappa: 0.5899, kb_relative_information_score: 375.4859, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.795, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.7805, kappa: 0.5612, kb_relative_information_score: 357.2977, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7809, predictive_accuracy: 0.7806, prior_entropy: 1, recall: 0.7806, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7788, kappa: 0.5576, kb_relative_information_score: 355.6526, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7788, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8543, kappa: 0.7086, kb_relative_information_score: 428.0267, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8549, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.7734, kappa: 0.5468, kb_relative_information_score: 351.0281, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7734, predictive_accuracy: 0.7734, prior_entropy: 1, recall: 0.7734, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.7698, kappa: 0.5396, kb_relative_information_score: 352.8859, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7698, predictive_accuracy: 0.7698, prior_entropy: 1, recall: 0.7698, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.795, kappa: 0.5899, kb_relative_information_score: 377.0908, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.795, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.5967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.7769, kappa: 0.554, kb_relative_information_score: 355.8602, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7772, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9029, kappa: 0.8058, kb_relative_information_score: 465.9905, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9029, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8507, kappa: 0.7014, kb_relative_information_score: 424.4004, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8508, predictive_accuracy: 0.8507, prior_entropy: 1, recall: 0.8507, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.265, root_relative_squared_error: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8075, kappa: 0.6151, kb_relative_information_score: 393.9582, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8077, predictive_accuracy: 0.8076, prior_entropy: 1, recall: 0.8076, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8777, kappa: 0.7554, kb_relative_information_score: 444.9816, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8778, predictive_accuracy: 0.8777, prior_entropy: 1, recall: 0.8777, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 374.4963, mean_absolute_error: 0.1595, 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: 0.3191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7824, kappa: 0.5647, kb_relative_information_score: 358.1225, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7824, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8471, kappa: 0.6942, kb_relative_information_score: 420.0432, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8477, predictive_accuracy: 0.8471, prior_entropy: 1, recall: 0.8471, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8381, kappa: 0.6763, kb_relative_information_score: 409.9738, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8382, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8327, kappa: 0.6655, kb_relative_information_score: 403.617, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8327, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.5592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8004, kappa: 0.6007, kb_relative_information_score: 384.1785, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8004, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.7878, kappa: 0.5755, kb_relative_information_score: 369.9331, mean_absolute_error: 0.1642, 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: 0.3284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8183, kappa: 0.6367, kb_relative_information_score: 402.4533, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8184, predictive_accuracy: 0.8183, prior_entropy: 1, recall: 0.8183, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7968, kappa: 0.5935, kb_relative_information_score: 377.4518, mean_absolute_error: 0.1566, 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: 0.3132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.5962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9496, kappa: 0.8993, kb_relative_information_score: 506.8496, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9498, predictive_accuracy: 0.9496, prior_entropy: 1, recall: 0.9496, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8651, kappa: 0.7302, kb_relative_information_score: 430.4239, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8657, predictive_accuracy: 0.8651, prior_entropy: 1, recall: 0.8651, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5297,

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