Multi-class confusion matrix library in Python

confusion-matrix 开源项目推荐(1,128 个)
confusion-matrix 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,128 个仓库Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Seamlessly integrate matplotlib figures as tensorflow summaries.
BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagg…
Measure and visualize machine learning model performance without the usual boilerplate.
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Python class for calculating confusion matrix for object detection task
✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
Multi-class text classifier that routes consumer complaints to the right product category using TF-IDF, LinearSVC and a CLI router.
Confusion matrix metrics directly from your pandas DataFrame
Deep learning for freehand sketch object recognition
Predicting air pollution level in a specific city
This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.
Reinforcement Learning with Perturbed Reward, AAAI 2020
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/confusion-matrix。
- 该话题在 GitHub 上共有 1,128 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3526 Star,覆盖 3 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。