Review the terminology in these articles:
Understanding Medical Tests: Sensitivity, Specificity, and Positive Predictive Value/Health News ReviewLinks to an external site.
Simple Guide to Confusion Matrix Terminology/DataSchoolLinks to an external site.
Overfitting and Underfitting With Machine Learning Algorithms/Machine Learning MasteryLinks to an external site.
Using your own words, in a couple of sentences explain the following terms:
accuracy
misclassification rate
precision
prevalence
overfitting
noise
true positive
true negative
false positive
false negative.
After defining the terms, in 2-3 pages, explain these terms and why they are important to do a statistical analysis.