Using Heuristic Decision Classifier to Predict The Operational Performance of Enterprises in Taiwan
Investment analysis is an important issue for everyone in the society. However, there are many factors will
influence the operational performance of enterprises. Under this situation, it is difficult to make a decision to select the good
goals to invest. This research applies meta-heuristic decision classifier (MHDC) to predict the operational performance of
each enterprise by using the data which is collected from open information observatory station in Taiwan. Based on the
experiment results, the accuracy of test data by using MHDC is higher than other machine learning methods such as SVM
classifier, KNN classifier, Ada Boost classifier and BPNN classifier. Finally, some conclusions and future research
directions can be discussed as ending.
Keywords- Investment Analysis, Operational Performance, Decision Classifier, Machine Learning.