The focus of the video was k-nearest neighbor. If I clean the data and did all the steps it would take an 8-minute video to over 20 minutes which nobody wants to watch.
Confusion matrices are used for classification when the dependent variable is categorical. The here is for regression which involves a dependent variable that is continuous.
@@dimpleghole2564 1. Compare descriptive statistics of actual and predicted dependent variable. The number should be similar. 2. Calculate the correlation between the actual and predicted values. The higher the correlation the better the predictive power. 3.Use cross-validation to determine how well the model can be generalized
Very helpful... thanks alot
why did you not standardize the data?
The focus of the video was k-nearest neighbor. If I clean the data and did all the steps it would take an 8-minute video to over 20 minutes which nobody wants to watch.
Superb lecture! Thanks
can we plot confusion matrix while using k nearest neighbor regression
Confusion matrices are used for classification when the dependent variable is categorical. The here is for regression which involves a dependent variable that is continuous.
@@EducationalResearchTechniques so how can we find accuracy in regression model
@@dimpleghole2564
1. Compare descriptive statistics of actual and predicted dependent variable. The number should be similar.
2. Calculate the correlation between the actual and predicted values. The higher the correlation the better the predictive power.
3.Use cross-validation to determine how well the model can be generalized