home/model evaluation & validation/application

// model evaluation & validation · application

Application

In the previous section, various learning algorithms were explored which work in the Supervised Learning setup, however, the models created using these algorithms need to be evaluated and can often lead to the problem of overfitting.

Model evaluation and validation worked through as code in Python and R

In this section, various methods of evaluating and validating a model explored in the theory section will be put to use by using Python and R.

Model Evaluation & Validation in Python

sklearn.metricscross_val_scoreKFold & ShuffleSplitseaborn
Know More

Model Evaluation & Validation in R

caret (trainControl)ROCRMetrics (AUC)confusionMatrix
Know More
ESC
100 pages indexed · Esc to close