An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with adasyn

A curated list of projects in awesome lists tagged with adasyn .

https://github.com/hase3b/class-imbalance-classification-performance-analysis

This repository contains the code, documentation, and datasets for a comprehensive exploration of machine learning techniques to address class imbalance. The project investigates the impact of various methods, like ADASYN, KMeansSMOTE, and Deep Learning Generator, on classification performance while effectively demonstrating benefits of pipelining.

adasyn class-imbalance classification cross-validation data-cleaning data-pipeline data-preprocessing deep-learning eda feature-selection hyperparameter-tuning kmeanssmote oversampling pipeline synthetic-data

Last synced: 04 Apr 2025

https://github.com/pekiiipy/credit-card-fraud-detection

🔍 Detect credit card fraud efficiently using advanced machine learning techniques, achieving high accuracy rates on a large dataset of transactions.

adasyn anomaly-detection class-imbalance credit-card-fraud data-visualization fraud fraud-detection frauddetection kaggle keras logistic-regression plotly-python postgresql random-forest scikit-learn tensorflow tree-model xgboost

Last synced: 11 Apr 2026

https://github.com/khushirajurkar/exoplanet-habitability-prediction-model

Predicts whether an exoplanet is habitable using ML. Handles class imbalance with ADASYN, tests multiple models, and saves the best one. Includes confusion matrices, ROC curves, and a clean Jupyter notebook

adasyn astroinformatics confusion-matrix exoplanets logistic-regression machine-learning multiclass-classification python roc-curve scikit-learn smote

Last synced: 06 May 2026

https://github.com/silvano315/health-insurance-prediction

This repository aims to test some machine learning and ELI5 explainability technique in order to predict whether the customer would be interested in Vehicle insurance, you have information about demographics, vehicles, policy

adasyn data-science eda eli5 explainability health insurance machine-learning random-forest vehicle xgboost

Last synced: 24 Mar 2025

https://github.com/msikorski93/credit-card-fraud-detection

A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.

adasyn balanced-bagging binary-classification class-imbalance-handling credit-card-fraud f1-score k-means k-nearest-neighbors light-gradient-boosting-machine logistic-regression naive-bayes near-miss random-oversampling random-undersampling resampling-methods smote-enn tensorflow

Last synced: 19 May 2026