This posting is my note that I study the contents and write them in my style
This is the private repository where I can only review my notes
Repository
This posting is my note that I study the contents and write them in my style
This is the private repository where I can only review my notes
Repository
This posting is my note that I study the contents and write them in my style
This is the private repository where I can only review my notes
Repository
- There are evaluation metrics of “Classification”
- Confusion Matrix
- Accuracy
- Precision
- F1 Score
- ROC AUC
- They are efficient to both binary classification and multiclass classification
- especially binary classification
- We can use sklearn
- evaluation_method(Y_test, prediction)
- Before using machine learning, we need to do preprocessing of the data
- Null
- Data Encoding
- Feature Scaling