Figures index

From

Transplanting Binary Decision Trees

Eli M. Dow, Tim Penderghest

Journal of Computer Sciences and Applications. 2015, 3(3), 61-66 doi:10.12691/jcsa-3-3-1
  • Figure 1. Showing the relationship between training data set size (measured in lines), the length of the generated decision tree (measured in lines as generated in the pruned rule files created by C4.5), and the file size of the resultant binary embodiment of the classification logic as a stand-alone batch style program. The X-Axis of this chart are the training data sets spaced evenly
  • Figure 2. Agreement Between SVM and Compiled C4.5. The blue segments at the bottom of each line indicate agreement in classification for the same data. The red lines that constitute the top of each bar indicate conflicting answers for the same inputs