Evaluation of the Developed Approach
- 1k Downloads
The evaluation results derived from the previous application section are presented in a condensed fashion and critically discussed within this section. The critical discussion is roughly structured along the previously presented research hypotheses. Following, the limitations identified during the evaluation and analysis including data pre-processing are highlighted. Within that section the implications of those limitations on the hypotheses and the research results are illustrated.
KeywordsFeature Selection Classification Performance Minority Class State Driver Feature Ranking
- McCann, M. & Johnston, A. (2008). SECOM data set. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml. Irvine, CA: University of California, School of Information and Computer Science.
- Zhang, S., Jin, Z., Zhu, X., & Zhang, J. (2009). Missing data analysis: A kernel-based multi-imputation. In M. L. Gavrilova & C. J. K. Tan (Eds.) Transaction on Computer Science III, LNCS 5300 (pp. 122–142). Berlin: Springer.Google Scholar