Projects in Awesome Lists tagged with receiver-operating-characteristic
A curated list of projects in awesome lists tagged with receiver-operating-characteristic .
https://github.com/erdogant/classeval
Evaluation of supervised predictions for two-class and multi-class classifiers
auc classification evaluation-functions evaluation-metrics plot python receiver-operating-characteristic
Last synced: 19 Apr 2025
https://github.com/arudzinska/awroc_calculation
[Master Thesis 2017] Scripts for calculating metrics to assess performance of a drug design software.
drug-discovery receiver-operating-characteristic virtual-screening
Last synced: 09 Apr 2025
https://github.com/akash1070/machine-learning-
Learning Machine Learning Through Data
area-under-curve bootstrap-sampling data-science ensemble-techniques grid-search-cv hierarchical-clustering k-fold-cross-validation k-means-clustering k-nearest-neighbours leave-one-out-cross-validation linear-regression logistic-regression machine-learning naive-bayes python random-search receiver-operating-characteristic support-vector-machine underfitting-overfitting
Last synced: 24 Mar 2025
https://github.com/shlok-nahar/mnist-cnn-classifier
This repository trains and evaluates three CNN models on MNIST, providing performance comparisons and 5 unique visualizations.
confusion-matrix graph heatmap-visualization json machine matplotlib mnist numpy precision-recall python receiver-operating-characteristic seaborn sklearn tensorflow
Last synced: 31 Mar 2025
https://github.com/antononcube/wl-rocfunctions-paclet
Wolfram Language (aka Mathematica) paclet for Receiver Operation Characteristic (ROC) functions.
classification-algorithm paclet receiver-operating-characteristic roc-curve roc-curves wolfram
Last synced: 02 Apr 2025
https://github.com/zen204/-my-ecornell-portfolio
Includes all of my Jupyter Notebook assignments from my time at MIT's Break Through AI/ML Program.
area-under-curve dataframe feature-selection feature-selection-methods grid-search hyperparameters logistic-regression model-persistency optimal-value precision-recall receiver-operating-characteristic scikitlearn-machine-learning test-dataset training-dataset
Last synced: 26 Mar 2025
https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic
Last synced: 27 Mar 2025
