Question: We trained two classifiers, Decision Tree with 350 examples and tested with 30 examples; and the Support Vector Machine with 500 examples and tested with

  1. We trained two classifiers, Decision Tree with 350 examples and tested with 30 examples; and the Support Vector Machine with 500 examples and tested with 50 examples. The correctly classified percentage of the Decision Tree is 89% and for the support vector machine it is 92%. Calculate the confidence intervals of the two true errors and comment how that relates to the statistical difference between the results.

    = 1.96 for a confidence level of 95%.

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