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 |