![]() ![]() We can say 57% variations in the target variable are explained by our model's predictor variable in different terms. Here in our model, the R-Square value is 0.57, which means the model shows 57% accuracy. R_Square can be any value between 0 and 1, with 1 being the best fit model. Simultaneously, the TSS is the squared difference between the actual value and the mean of the actual value. R-Square value is calculated by the above equation where RSS is the squared difference between the actual value and the predicted value.
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