Cross validation is a technique for assessing how the statistical analysis generalizes to an independent data set. It is a technique for evaluating machine learning…
Cross validation is a technique for assessing how the statistical analysis generalizes to an independent data set. It is a technique for evaluating machine learning…
Watched the videos of resampling methods Estimation of prediction error and validation set approach, K-fold cross validation, cross validation: right and wrong ways. Estimating the…
In today’s discussion, We considered Crab Molt model as an example when independent variables are non-normally distributed. The data contains both pre-molt and post-molt sizes…
In interaction model, I didn’t understand after calculating R square values for both linear and quadratic model. Based on R square values from different models…
In today’s discussion, we learned about the significance of p-values and the null hypothesis in the context of simple linear regression: The p-value measures how…
In today’s discussion learned Linear regression which is a statistical approach allows us study relationship between two independent variables. mathematically we can write the expression…