Machine Learning Techniques for the Evaluating of External ...
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10. Experiment Result 1. Decision Tree: Full Data with Multi-class Prediction Reduced Data with Multi-class Prediction Correct Rate=73.33% Correct Rate=66.66%
11. Experiment Result (con’d) 2. Classifier System Full Data with Multi-class Prediction Reduced Data with Multi-class Prediction Correct Rate=21% Correct Rate=44%
12. Experiment Result (con’d) 3. Artificial Neural Network Full Data with Multi-class Prediction Reduced Data with Multi-class Prediction Correct Rate=31.7% Correct Rate=45%
13. Experiment Result (con’d) 4. GAANN Full Data with Multi-class Prediction Reduced Data with Multi-class Prediction Correct Rate=63.3% Correct Rate=53.3%
![Machine Learning Techniques for the Evaluating of External Skeletal Fixation Structure ,[object Object],[object Object],[object Object],[object Object]](https://image.slidesharecdn.com/machine-learning-techniques-for-the-evaluating-of-external2628/85/Machine-Learning-Techniques-for-the-Evaluating-of-External-1-320.jpg)
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