Brain Journal-Annsvm: A Novel Method For Graph-Type Classification By Utilization Of Fourier Transformation, Wavelet Transformation, And Hough Transformation-Figure 10. Detailed Accuracy Separated By Classes And A Confusion Matrix Which Belongs To The Dataset Of Coiflet 1 Applied By Our Main Method (Annsvm)

Sarunya Kanjanawattana & Masaomi Kimura
With regard to accuracy values of each class as presented in Figure 10, we observed that the accuracy of the two-dimensional chart class was the lowest (i.e., 0.875), while others were over 0.9. Results here suggested that both the bar and pie classes have their own unique characteristics, as opposed to the 2Dchart class. For example, the graph images that contained some rectangles were individually categorized in the bar graph class. A similar phenomenon occurred...
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