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borderline-smote

Here are 5 public repositories matching this topic...

MicheleDiSabato / detecting-abnormal-markets-ews

Detecting Abnormal Markets - Early Warning Systems

python machine-learning statistics timeseries time-series matlab knn smote anomaly-detection adasyn early-warning-system borderline-smote early-warning-s

Updated Jul 11, 2022
HTML

SophiaVei / systematic-study-on-class-imbalance

demonstrate different models such as Variational Autoencoders and GANs in a variety of datasets, including tabular, text and image data, including the generation of synthetic data for comparison of their effectiveness in all models for each kind of dataset

vae gans smote oversampling borderline-smote

Updated Jun 23, 2023
Python

mosama1994 / Heart-Attack-Detection-using-Machine-Learning

Used CDC dataset for heart attack detection in patients. Balanced the dataset using SMOTE and Borderline SMOTE and used feature selection and machine learning to create different models and compared them based on metrics such as F-1 score, ROC AUC, MCC, and accuracy.

python machine-learning feature-selection naive-bayes-classifier logistic-regression balancing adaboost decision-trees svm-classifier smote random-forest-classifier recursive-feature-elimination forward-selection borderline-smote

Updated Dec 16, 2022
Python

Shamanistic-Bearbarian / credit-card-default-forecasting

Leveraging and comparing various ML techniques to forecast credit card defaults [Imbalanced data]

machine-learning neural-network random-forest xgboost regularization imbalanced-data lasso-regression receiver-operating-characteristic smote-sampling borderline-smote

Updated Aug 15, 2023
Jupyter Notebook

emrecanduran / Marketing-Campaign-Response-Prediction

Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.

logistic-regression learning-curve imbalanced-data bias-variance precision-recall-curve borderline-smote

Updated May 19, 2024
Jupyter Notebook

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