A fitted classification xgboost model from the caret R package based on the two .R files: "ts_fs_taxonomy_results" and "ts_fc_evaluation_results" from this package. The "ts_fs_taxonomy_results" are applied as training features and the "ts_fc_evaluation_results" as prediction label. Thus the model is able to predict for new "ts_fs_taxonomy_results" data the best performing forecasting method out of the seven possible from the "ts_fc_evaluation_results" file.
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fitted xgboost model from the caret R packet. The method is called 'xgbTree'. It is trained by cross-validation.
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