A Single Layer Perceptron for Regression: Part 5
New Function created: calculate_rsquare : This function calculates the R-square value. This value helps understand the accuracy of the model. It is used for both single and multiple linear regression. However, adjusted R-square works better for the latter. Parameters : (1) predicted_output(numpy array (m,1)): Predicted output values. (2) actual_output(numpy array (m,1)) : The original output values. (3) num_of_predictor_variables (int): Number of predictor variables. (4) mean_of_output(float or string) : The mean of the actual output values. If it is "default", then the mean has to be calculated. Otherwise it is passed. (5) adjusted_r2(Boolean): By default is False. It can be made True if Adjusted R-