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Table 4 Measures used model assessment when data is categorical

From: Survey on clinical prediction models for diabetes prediction

Measure Significance
R square Project the efficiency of the model in terms of independent variables
Significance F To check whether results are reliable or not if F less than 0.5 model is OK else stop using those independent variables
Coefficients Regression line Y = intercept + A * X1 + −B * X2
A and B are coefficients these are useful for forecasting
Residuals These are used to show how far the actual data points are from predicted data points