Skip to content
#

roc-auc

Star

Here are 12 public repositories matching this topic...

Language: Python
Filter by language
All 105 Jupyter Notebook 81 Python 12 C++ 1 HTML 1 JavaScript 1 R 1 SAS 1
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated
easytorch

sraashis / easytorch

Star 30

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

deep-learning pytorch convolutional-neural-networks transfer-learning roc-auc fundus-image-analysis deep-learning-for-computer-vision k-fold-cross-validation pytorch-for-medical-images getting-started-with-pytorch deep-learning-example pytorch-google-colab fast-pytorch-training
  • Updated Dec 6, 2023
  • Python

AmirhosseinHonardoust / Customer-Churn-Prediction

Star 19

Customer churn prediction with Python using synthetic datasets. Includes data generation, feature engineering, and training with Logistic Regression, Random Forest, and Gradient Boosting. Improved pipeline applies hyperparameter tuning and threshold optimization to boost recall. Outputs metrics, reports, and charts.

python data-science machine-learning random-forest classification logistic-regression predictive-modeling gradient-boosting portfolio-project feature-importance roc-auc customer-analytics precision-recall customer-churn
  • Updated Sep 11, 2025
  • Python

mcabinaya / Bank-Marketing-Data-Analysis

Star 15

Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data

python random-forest pandas-dataframe histogram cross-validation data-visualization naive-bayes-classifier dimensionality-reduction logistic-regression matplotlib missing-data data-preprocessing class-imbalance svm-classifier multilayer-perceptron categorical-data roc-auc knn-classifier bank-marketing-analysis sklearn-library
  • Updated Jun 5, 2018
  • Python

nilsdenter / text_based_link_prediction

Star 4

This project contains the data and code used in the paper: Denter, Nils M.; Aaldering, Lukas Jan; Caferoglu, Huseyin (2022): Forecasting future bigrams and promising patents: Introducing text-based link prediction. In Foresight ahead-of-print (ahead-of-print). DOI: doi.org/10.1108/fs-03-2021-0078.

machine-learning random-forest text scikit-learn economics networkx naive-bayes-classifier ensemble-learning logistic-regression patents uspto decision-tree link-prediction stochastic-gradient-descent linkprediction k-nearest-neighbors roc-auc poisson-regression
  • Updated Jul 11, 2022
  • Python

znreza / supervised_classification

Star 0

This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python

python machine-learning rbf-kernel naive-bayes pattern-classification cross-validation python3 naive-bayes-classifier supervised-learning pattern-recognition roc-curve knn naive-bayes-algorithm svm-classifier k-nearest-neighbours k-fold roc-auc best-value-for-k-in-knn 10-fold-cross-validation polynomial-kernel
  • Updated Nov 22, 2017
  • Python

kumar-O / Customer-Churn-Prediction

Star 0

🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.

data-science machine-learning numpy scikit-learn pipelines seaborn flask-application survival-analysis factorization-machines libsvm churn-prediction model-evaluation smote roc-auc gridsearchcv xgboost4j customer-churn-prediction customer-survival-analysis
  • Updated Dec 1, 2025
  • Python

Improve this page

Add a description, image, and links to the roc-auc topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the roc-auc topic, visit your repo's landing page and select "manage topics."

Learn more