Code Monkey home page Code Monkey logo

evaluation-2020's Introduction

PhysioNet/CinC Challenge 2020 Evaluation Metrics

This repository contains the Python and MATLAB evaluation code for the PhysioNet/Computing in Cardiology Challenge 2020. The evaluate_12ECG_score script evaluates the output of your algorithm using the evaluation metric that is described on the webpage for the PhysioNet/CinC Challenge 2020. While this script reports multiple evaluation metric, we use the last score (Challenge Metric) to evaluate your algorithm.

Python

You can run the Python evaluation code by installing the NumPy Python package and running

python evaluate_12ECG_score.py labels outputs scores.csv class_scores.csv

where labels is a directory containing files with one or more labels for each 12-lead ECG recording, such as the training database on the PhysioNet webpage; outputs is a directory containing files with outputs produced by your algorithm for those recordings; scores.csv (optional) is a collection of scores for your algorithm; and class_scores.csv (optional) is a collection of per-class scores for your algorithm.

MATLAB

You can run the MATLAB evaluation code by installing Python and the NumPy Python package and running

evaluate_12ECG_score(labels, outputs, scores.csv, class_scores.csv)

where labels is a directory containing files with one or more labels for each 12-lead ECG recording, such as the training database on the PhysioNet webpage; outputs is a directory containing files with outputs produced by your algorithm for those recordings; scores.csv (optional) is a collection of scores for your algorithm; and class_scores.csv (optional) is a collection of per-class scores for your algorithm.

Troubleshooting

Unable to run this code with your code? Try one of the baseline classifiers on the training data. Unable to install or run Python? Try Python, Anaconda, or your package manager.

evaluation-2020's People

Contributors

gariclifford avatar matthewreyna avatar perezald avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.