roc-curve 开源项目推荐（262 个）

dformoso /sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

louis-she /center-loss.pytorch

center loss for face recognition

xrobin /pROC

Display and analyze ROC curves in R

zzhanghub /eval-co-sod

PyTorch-Based Evaluation Tool for Co-Saliency Detection

metriculous-ml /metriculous

Measure and visualize machine learning model performance without the usual boilerplate.

Thie1e /cutpointr

Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

ShoupingShan /Hyperspectral-image-target-detection-based-on-sparse-representation

Hyperspectral image Target Detection based on Sparse Representation

marcotav /supervised-machine-learning

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

AmirhosseinHonardoust /Fraud-Detection-SQL-Supervised

Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression model, and evaluate performance with AUC, precision, recall, and ROC analysis. A complete supervised fraud detection workflow.

virajbhutada /Telecom-Churn-Analytics

Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

Bharat-Reddy /Bank-Marketing-Analysis

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.

davhbrown /interactive_classification_metrics

Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.

LeihuaYe /Machine-Learning-Rare-Event-Classification

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

mansipatel2508 /Network-Intrusion-Detection-with-Feature-Extraction-ML

The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

stefmolin /ml-utils

Machine learning utility functions and classes.

Mr-TalhaIlyas /Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras

ML/CNN Evaluation Metrics Package

unnathi10 /HateSpeechDetection

Detecting hate speech using the spoken content of videos using Machine Learning

nikhil-188 /BankruptcyPrediction

Our project aims to utilize machine learning techniques for bankruptcy prediction, leveraging data analysis and predictive models to forecast the likelihood of a company experiencing financial insolvency.

abichat /evabic

Evaluation of Binary Classifiers

ksopyla /scikit-learn-tutorial

Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.