OpenML
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 25237 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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25237 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9697, kappa: 0.9467, kb_relative_information_score: 0.8957, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9699, predictive_accuracy: 0.9696, prior_entropy: 1.3181, recall: 0.9696, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9808, kappa: 0.9663, kb_relative_information_score: 0.9059, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, kappa: 0.8012, kb_relative_information_score: 0.6009, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8928, prior_entropy: 1.3181, recall: 0.8928, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7759, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9221, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1.3181, recall: 1, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9944, kb_relative_information_score: 0.9301, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1.3181, recall: 0.9968, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.2152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7788, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9409, kappa: 0.8941, kb_relative_information_score: 0.8211, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9433, predictive_accuracy: 0.9392, prior_entropy: 1.3181, recall: 0.9392, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9191, kappa: 0.859, kb_relative_information_score: 0.783, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9183, predictive_accuracy: 0.92, prior_entropy: 1.3181, recall: 0.92, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9244, kappa: 0.859, kb_relative_information_score: 0.7806, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9411, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.779, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7723, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9529, kappa: 0.9162, kb_relative_information_score: 0.845, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9542, predictive_accuracy: 0.952, prior_entropy: 1.3181, recall: 0.952, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9826, kappa: 0.9692, kb_relative_information_score: 0.9129, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.983, predictive_accuracy: 0.9824, prior_entropy: 1.3181, recall: 0.9824, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7764, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7782, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9138, kappa: 0.8504, kb_relative_information_score: 0.7888, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9126, predictive_accuracy: 0.9152, prior_entropy: 1.3181, recall: 0.9152, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7762, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7793, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9497, kappa: 0.9106, kb_relative_information_score: 0.8367, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9511, predictive_accuracy: 0.9488, prior_entropy: 1.3181, recall: 0.9488, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9491, kappa: 0.9102, kb_relative_information_score: 0.8258, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9495, predictive_accuracy: 0.9488, prior_entropy: 1.3181, recall: 0.9488, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9222, kappa: 0.8555, kb_relative_information_score: 0.7754, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9359, predictive_accuracy: 0.9152, prior_entropy: 1.3181, recall: 0.9152, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9588, kappa: 0.9251, kb_relative_information_score: 0.8697, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9625, predictive_accuracy: 0.9568, prior_entropy: 1.3181, recall: 0.9568, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.3426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7743, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9861, kappa: 0.9749, kb_relative_information_score: 0.9196, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9878, predictive_accuracy: 0.9856, prior_entropy: 1.3181, recall: 0.9856, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9797, kappa: 0.9637, kb_relative_information_score: 0.9147, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 1.3181, recall: 0.9792, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9861, kappa: 0.9749, kb_relative_information_score: 0.9205, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9878, predictive_accuracy: 0.9856, prior_entropy: 1.3181, recall: 0.9856, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9298, kappa: 0.8711, kb_relative_information_score: 0.7916, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9396, predictive_accuracy: 0.9248, prior_entropy: 1.3181, recall: 0.9248, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9729, kappa: 0.9523, kb_relative_information_score: 0.9019, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9731, predictive_accuracy: 0.9728, prior_entropy: 1.3181, recall: 0.9728, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7753, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7749, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9824, kappa: 0.969, kb_relative_information_score: 0.9068, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9823, predictive_accuracy: 0.9824, prior_entropy: 1.3181, recall: 0.9824, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, kappa: 0.8131, kb_relative_information_score: 0.6227, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8992, prior_entropy: 1.3181, recall: 0.8992, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7328, kappa: 0.5584, kb_relative_information_score: 0.3956, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7801, predictive_accuracy: 0.7616, prior_entropy: 1.3181, recall: 0.7616, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9557, kappa: 0.9216, kb_relative_information_score: 0.856, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9565, predictive_accuracy: 0.9552, prior_entropy: 1.3181, recall: 0.9552, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7791, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9798, kappa: 0.9637, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9811, predictive_accuracy: 0.9792, prior_entropy: 1.3181, recall: 0.9792, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7776, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9193, kappa: 0.8502, kb_relative_information_score: 0.7702, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9336, predictive_accuracy: 0.912, prior_entropy: 1.3181, recall: 0.912, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7202, kappa: 0.5381, kb_relative_information_score: 0.1159, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.696, predictive_accuracy: 0.7504, prior_entropy: 1.3181, recall: 0.7504, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9149, kappa: 0.8509, kb_relative_information_score: 0.7707, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9147, predictive_accuracy: 0.9152, prior_entropy: 1.3181, recall: 0.9152, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9285, kappa: 0.8685, kb_relative_information_score: 0.7871, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9389, predictive_accuracy: 0.9232, prior_entropy: 1.3181, recall: 0.9232, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9797, kappa: 0.9637, kb_relative_information_score: 0.9092, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 1.3181, recall: 0.9792, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.12, root_relative_squared_error: 0.2754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9832, kb_relative_information_score: 0.9248, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9914, predictive_accuracy: 0.9904, prior_entropy: 1.3181, recall: 0.9904, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9225, kappa: 0.8627, kb_relative_information_score: 0.7851, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9235, predictive_accuracy: 0.9216, prior_entropy: 1.3181, recall: 0.9216, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7779, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9876, kappa: 0.9777, kb_relative_information_score: 0.9251, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.989, predictive_accuracy: 0.9872, prior_entropy: 1.3181, recall: 0.9872, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8474, kappa: 0.7549, kb_relative_information_score: 0.325, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8495, predictive_accuracy: 0.8656, prior_entropy: 1.3181, recall: 0.8656, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9574, kappa: 0.9223, kb_relative_information_score: 0.872, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9612, predictive_accuracy: 0.9552, prior_entropy: 1.3181, recall: 0.9552, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9944, kb_relative_information_score: 0.9254, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1.3181, recall: 0.9968, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.943, kappa: 0.8991, kb_relative_information_score: 0.8348, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9437, predictive_accuracy: 0.9424, prior_entropy: 1.3181, recall: 0.9424, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, kappa: 0.7715, kb_relative_information_score: 0.5853, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8768, prior_entropy: 1.3181, recall: 0.8768, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8544, kappa: 0.7807, kb_relative_information_score: 0.6602, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8329, predictive_accuracy: 0.88, prior_entropy: 1.3181, recall: 0.88, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9169, kappa: 0.8469, kb_relative_information_score: 0.5023, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9289, predictive_accuracy: 0.9104, prior_entropy: 1.3181, recall: 0.9104, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8332, kappa: 0.7273, kb_relative_information_score: 0.2791, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8339, predictive_accuracy: 0.8496, prior_entropy: 1.3181, recall: 0.8496, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9551, kappa: 0.9193, kb_relative_information_score: 0.8455, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9575, predictive_accuracy: 0.9536, prior_entropy: 1.3181, recall: 0.9536, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9972, kb_relative_information_score: 0.9247, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.3181, recall: 0.9984, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.2256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9713, kappa: 0.9495, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9715, predictive_accuracy: 0.9712, prior_entropy: 1.3181, recall: 0.9712, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9944, kb_relative_information_score: 0.9267, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1.3181, recall: 0.9968, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9168, kappa: 0.8482, kb_relative_information_score: 0.7781, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9241, predictive_accuracy: 0.912, prior_entropy: 1.3181, recall: 0.912, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8113, kappa: 0.6782, kb_relative_information_score: 0.3058, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8182, predictive_accuracy: 0.8192, prior_entropy: 1.3181, recall: 0.8192, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.779, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9118, kappa: 0.8472, kb_relative_information_score: 0.7572, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9104, predictive_accuracy: 0.9136, prior_entropy: 1.3181, recall: 0.9136, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, kappa: 0.5015, kb_relative_information_score: 0.3661, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7312, prior_entropy: 1.3181, recall: 0.7312, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.986, kappa: 0.9749, kb_relative_information_score: 0.9188, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9872, predictive_accuracy: 0.9856, prior_entropy: 1.3181, recall: 0.9856, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.782, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7765, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9259, kappa: 0.8684, kb_relative_information_score: 0.7986, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9272, predictive_accuracy: 0.9248, prior_entropy: 1.3181, recall: 0.9248, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9204, kappa: 0.8663, kb_relative_information_score: 0.7694, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9173, predictive_accuracy: 0.9248, prior_entropy: 1.3181, recall: 0.9248, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9861, kappa: 0.9749, kb_relative_information_score: 0.9204, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9878, predictive_accuracy: 0.9856, prior_entropy: 1.3181, recall: 0.9856, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7777, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9635, kappa: 0.9356, kb_relative_information_score: 0.8784, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.964, predictive_accuracy: 0.9632, prior_entropy: 1.3181, recall: 0.9632, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8207, kappa: 0.7111, kb_relative_information_score: 0.1966, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8133, predictive_accuracy: 0.8416, prior_entropy: 1.3181, recall: 0.8416, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9972, kb_relative_information_score: 0.9283, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.3181, recall: 0.9984, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.2179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9285, kappa: 0.867, kb_relative_information_score: 0.7882, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9443, predictive_accuracy: 0.9216, prior_entropy: 1.3181, recall: 0.9216, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, kappa: 0.8042, kb_relative_information_score: 0.6186, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8944, prior_entropy: 1.3181, recall: 0.8944, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9937, kappa: 0.9888, kb_relative_information_score: 0.9223, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9941, predictive_accuracy: 0.9936, prior_entropy: 1.3181, recall: 0.9936, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7775, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7766, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9231, kappa: 0.8564, kb_relative_information_score: 0.7793, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9405, predictive_accuracy: 0.9152, prior_entropy: 1.3181, recall: 0.9152, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7753, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9937, kappa: 0.9888, kb_relative_information_score: 0.9285, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9941, predictive_accuracy: 0.9936, prior_entropy: 1.3181, recall: 0.9936, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9831, kappa: 0.9694, kb_relative_information_score: 0.9177, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9849, predictive_accuracy: 0.9824, prior_entropy: 1.3181, recall: 0.9824, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7249, kappa: 0.5437, kb_relative_information_score: 0.1143, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7035, predictive_accuracy: 0.752, prior_entropy: 1.3181, recall: 0.752, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9832, kb_relative_information_score: 0.9216, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9914, predictive_accuracy: 0.9904, prior_entropy: 1.3181, recall: 0.9904, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7773, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7755, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9832, kb_relative_information_score: 0.925, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9914, predictive_accuracy: 0.9904, prior_entropy: 1.3181, recall: 0.9904, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.7671, kappa: 0.624, kb_relative_information_score: 0.4992, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7749, predictive_accuracy: 0.7968, prior_entropy: 1.3181, recall: 0.7968, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, kappa: 0.1691, kb_relative_information_score: 0.0219, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.552, prior_entropy: 1.3181, recall: 0.552, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7771, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9859, kappa: 0.9748, kb_relative_information_score: 0.9228, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9866, predictive_accuracy: 0.9856, prior_entropy: 1.3181, recall: 0.9856, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9211, kappa: 0.8546, kb_relative_information_score: 0.7776, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9314, predictive_accuracy: 0.9152, prior_entropy: 1.3181, recall: 0.9152, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8295, kappa: 0.7451, kb_relative_information_score: 0.6132, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8731, predictive_accuracy: 0.8624, prior_entropy: 1.3181, recall: 0.8624, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7779, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9574, kappa: 0.9247, kb_relative_information_score: 0.8537, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9587, predictive_accuracy: 0.9568, prior_entropy: 1.3181, recall: 0.9568, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9241, kappa: 0.8587, kb_relative_information_score: 0.7811, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9395, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8331, kappa: 0.7519, kb_relative_information_score: 0.5809, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8031, predictive_accuracy: 0.8656, prior_entropy: 1.3181, recall: 0.8656, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9467, kappa: 0.905, kb_relative_information_score: 0.8581, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9483, predictive_accuracy: 0.9456, prior_entropy: 1.3181, recall: 0.9456, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3625,

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

OpenML APIs