Top "Oversampling" questions

SMOTE initialisation expects n_neighbors <= n_samples, but n_samples < n_neighbors

I have already pre-cleaned the data, and below shows the format of the top 4 rows: [IN] df.head() [OUT] Year …

scikit-learn knn tf-idf oversampling imblearn

Using Smote with Gridsearchcv in Scikit-learn

I'm dealing with an imbalanced dataset and want to do a grid search to tune my model's parameters using scikit's …

python machine-learning scikit-learn grid-search oversampling

Duplicating training examples to handle class imbalance in a pandas data frame

I have a DataFrame in pandas that contain training examples, for example: feature1 feature2 class 0 0.548814 0.791725 1 1 0.715189 0.528895 0 2 0.602763 0.568045 0 3 0.544883 0.925597 0 4 0.423655 0.071036 0 5 0.645894 0.087129 0 6 0.437587 0.020218 0 7 0.891773 0.832620 1 8 0.963663 0.778157 0 9 0.383442 0.870012 0 which I generated using: import …

python pandas machine-learning oversampling

Oversampling or SMOTE in Pyspark

I have 7 classes and the total number of records are 115 and I wanted to run Random Forest model over this …

machine-learning pyspark random-forest oversampling