roc-curve

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

center loss for face recognition

Display and analyze ROC curves in R and S+

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

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

PyTorch-Based Evaluation Tool for Co-Saliency Detection

Hyperspectral image Target Detection based on Sparse Representation

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 Lasso and Ridge regressions.

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.

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

Machine learning utility functions and classes.

ML/CNN Evaluation Metrics Package

Assignments of Machine Learning Graduate Course - Spring 2021

Evaluation of Binary Classifiers

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

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.

💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

calculate ROC curve and find threshold for given accuracy

L2 Orthonormal Face Recognition Performance under L2 Regularization Term