Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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299149 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9756, kappa: 0.7509, kb_relative_information_score: 2814.5392, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9753, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.6436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9766, kappa: 0.7708, kb_relative_information_score: 2907.2209, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9831, kappa: 0.8327, kb_relative_information_score: 3401.101, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.122, root_relative_squared_error: 0.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9809, kappa: 0.8099, kb_relative_information_score: 3375.6196, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9742, kappa: 0.7381, kb_relative_information_score: 2673.2546, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9802, kappa: 0.8025, kb_relative_information_score: 3168.7286, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.129, root_relative_squared_error: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.967, kappa: 0.6708, kb_relative_information_score: 2173.9712, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9819, kappa: 0.8209, kb_relative_information_score: 3382.7517, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9812, kappa: 0.8137, kb_relative_information_score: 3426.0878, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9821, kappa: 0.8233, kb_relative_information_score: 3404.2776, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 3244.9492, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9764, kappa: 0.7578, kb_relative_information_score: 2879.5574, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9762, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 3244.9492, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9783, kappa: 0.784, kb_relative_information_score: 3072.6969, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9781, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.98, kappa: 0.8028, kb_relative_information_score: 3471.2383, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9737, kappa: 0.7301, kb_relative_information_score: 2634.3345, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9734, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9742, kappa: 0.7381, kb_relative_information_score: 2673.2546, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.9694, kappa: 0.6929, kb_relative_information_score: 2306.3777, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.967, kappa: 0.6708, kb_relative_information_score: 2173.9712, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.9736, kappa: 0.7264, kb_relative_information_score: 2647.2019, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9736, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9739, kappa: 0.7333, kb_relative_information_score: 2653.5789, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9739, kappa: 0.7333, kb_relative_information_score: 2653.5789, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9783, kappa: 0.7824, kb_relative_information_score: 3096.8196, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9765, kappa: 0.7749, kb_relative_information_score: 2718.2753, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9772, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.967, kappa: 0.6708, kb_relative_information_score: 2173.9712, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9819, kappa: 0.8209, kb_relative_information_score: 3382.7517, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.9722, kappa: 0.7115, kb_relative_information_score: 2571.3398, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9722, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9683, kappa: 0.6716, kb_relative_information_score: 2297.7154, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9737, kappa: 0.7301, kb_relative_information_score: 2634.3345, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9734, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9697, kappa: 0.6821, kb_relative_information_score: 2392.7559, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.9701, kappa: 0.694, kb_relative_information_score: 2423.1355, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9696, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.16, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 3244.9492, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.967, kappa: 0.6708, kb_relative_information_score: 2173.9712, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.73,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9757, kappa: 0.7609, kb_relative_information_score: 2907.6174, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9732, kappa: 0.7292, kb_relative_information_score: 2603.7135, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9727, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6756,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9818, kappa: 0.8203, kb_relative_information_score: 3497.2245, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.977, kappa: 0.7764, kb_relative_information_score: 2933.6587, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9772, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9739, kappa: 0.7333, kb_relative_information_score: 2653.5789, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9821, kappa: 0.8233, kb_relative_information_score: 3404.2776, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9792, kappa: 0.7932, kb_relative_information_score: 3395.793, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9766, kappa: 0.7708, kb_relative_information_score: 2907.2209, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9766, kappa: 0.7708, kb_relative_information_score: 2907.2209, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.9723, kappa: 0.7127, kb_relative_information_score: 2550.5527, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9722, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.974, kappa: 0.7325, kb_relative_information_score: 2647.2956, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9765, kappa: 0.7741, kb_relative_information_score: 2836.8506, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.9671, kappa: 0.6754, kb_relative_information_score: 2181.4931, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9781, kappa: 0.7883, kb_relative_information_score: 2886.0062, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9784, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.9715, kappa: 0.7008, kb_relative_information_score: 2515.0827, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.6933,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.9671, kappa: 0.6754, kb_relative_information_score: 2181.4931, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9805, kappa: 0.8057, kb_relative_information_score: 3214.583, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9778, kappa: 0.7829, kb_relative_information_score: 2995.1389, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.6082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9759, kappa: 0.7524, kb_relative_information_score: 2834.8346, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9757, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9739, kappa: 0.7333, kb_relative_information_score: 2653.5789, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9812, kappa: 0.8144, kb_relative_information_score: 3327.5984, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.9671, kappa: 0.6754, kb_relative_information_score: 2181.4931, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.974, kappa: 0.7325, kb_relative_information_score: 2647.2956, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.974, kappa: 0.7325, kb_relative_information_score: 2647.2956, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9723, kappa: 0.7287, kb_relative_information_score: 2481.0445, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9812, kappa: 0.8137, kb_relative_information_score: 3426.0878, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9778, kappa: 0.7829, kb_relative_information_score: 2993.8548, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.9671, kappa: 0.6754, kb_relative_information_score: 2181.4931, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9817, kappa: 0.8199, kb_relative_information_score: 3514.8761, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9816, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5916,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9683, kappa: 0.6716, kb_relative_information_score: 2297.7154, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9742, kappa: 0.7381, kb_relative_information_score: 2673.2546, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9765, kappa: 0.7741, kb_relative_information_score: 2836.8506, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.98, kappa: 0.8028, kb_relative_information_score: 3471.2383, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 3244.9492, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9757, kappa: 0.7609, kb_relative_information_score: 2907.6174, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9818, kappa: 0.8203, kb_relative_information_score: 3507.5212, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9812, kappa: 0.8137, kb_relative_information_score: 3426.0878, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9767, kappa: 0.7707, kb_relative_information_score: 2914.1142, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9766, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.6138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.9804, kappa: 0.8069, kb_relative_information_score: 3483.0391, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.6167,

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