Smote(ratio parameter)

1. What is smote ratio?
2. Does smote cause overfitting?
3. Is smote oversampling or undersampling?
4. What is borderline smote?

What is smote ratio?

and sm = SMOTE(ratio = 0.5, random_state=10) Before OverSampling, counts of label '1': [78] Before OverSampling, counts of label '0': [6266] After OverSampling, counts of label '1': 3133 After OverSampling, counts of label '0': 6266. will result class 1 to be halved size of class 0.

Does smote cause overfitting?

Hybridization: SMOTE + Tomek Links

After the oversampling is done by SMOTE, the class clusters may be invading each other's space. As a result, the classifier model will be overfitting.

Is smote oversampling or undersampling?

SMOTE is an oversampling technique and creates new minority class synthetic samples, and Tomek Links is an undersampling technique. For an imbalanced dataset, first SMOTE is applied to create new synthetic minority samples to get a balanced distribution.

What is borderline smote?

Borderline SMOTE:-

It classifies any minority observation as a noise point if all the neighbors are the majority class and such an observation is ignored while creating synthetic data (Similar to DBSCAN).