Iteration Methods for Crossvalidations (150 Patients with Pneumonia)
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In the Chap. 8 of this book validation of a decision tree model is performed splitting a data file into a training and a testing sample. This method performed pretty well with a sensitivity of 90–100% and an overall accuracy of 94%. However, measures of error of predictive models like the above one are based on residual methods, assuming a priori defined data distributions, particularly normal distributions. Machine learning data file may not meet such assumptions, and distribution free methods of validation, like crossvalidations may be more safe.