Machine Learning, Learning, Python3, Linear Regression, Math.
difference between the observed and predicted. When MSE equals zero means model has no error. When there is error, its value increases. RMSE Root mean square error or root mean square deviation is one of the most commonly used measures for evaluating the quality of predictions in regression models.