Skip to content
relataly.com

relataly.com

  • Machine Learning
    • Simple Regression
    • Classification: Two Class
    • Classification: Multi-Class
    • Clustering
    • Time Series Forecasting
    • Anomaly Detection
    • Natural Language
    • Recommender Systems
    • Reinforcement Learning
    • Responsible AI
  • Use Cases
    • Stock Market Forecasting
    • Algorithmic Trading
    • Sentiment Analysis
    • Churn Prediction
    • Fraud Detection
    • Predictive Maintenance
    • Marketing Automation
    • Customer Segmentation
    • Sales Forecasting
    • Fighting Crime
    • Risk Management
    • Image Recognition
  • Algorithms
    • CNNs
    • RNNs (LSTM)
    • Decision Trees
    • Random Decision Forests
    • Random Isolation Forest
    • Local Outlier Factor
    • Gradient Boosting
    • Collaborative Filtering
    • Content-based Filtering
    • K-Nearest Neighbors
    • K-Means
    • Affinity Propagation
    • Agglomerative Clustering
    • Logistic Regression
    • Naive Bayes
    • ARIMA
  • Data Science
    • Exploratory Data Analysis
    • Feature Engineering
    • Hyperparameter Tuning
    • Dimensionality Reduction
    • Model Interpretation
    • Data Visualization
    • Correlation
    • Measuring Performance
    • Cross-Validation
    • SQLite
    • Data Science Environments
      • Anaconda
      • Azure Machine Learning
    • Python Libraries
      • Scikit-Learn
      • Tensorflow
      • Keras
      • Pytorch
      • PySpark
      • Chainer
      • OpenAI Gym
      • Seaborn
      • Fairlearn
      • Facebook Prophet
      • GeoPandas
  • Data Sources
    • OpenAI API
    • REST APIs
    • Coinmarketcap API
    • Coinbase API
    • Gate.io API
    • Yahoo Finance API
    • Statworx COVID-19 API
    • Twitter API
    • Reddit API
    • Kaggle Competitions
    • Synthetic Data
  • About
  • Finance
  • Insurance
  • Healthcare
  • Telecom.
  • Manufacturing
  • Retail
  • Logistics

Confusion Matrix

A confusion matrix is a table that is used to evaluate the performance of a classification algorithm. It is often used in machine learning and other data analysis tasks, to evaluate the accuracy of a model in predicting the correct class or category for a given data point. The confusion matrix is a two-dimensional table, with the rows representing the actual classes or categories, and the columns representing the predicted classes or categories. The entries in the table represent the number of data points that were correctly or incorrectly classified by the model.

Measuring Machine Learning Classifier Performance with Python and Scikit-Learn

March 6, 2023December 31, 2021
Measuring Classification Performance Medical Machine Learning midjourney relataly

Have you ever received a spam email and wondered how your email provider was able to identify it as spam? … Read more

Classifying Purchase Intention of Online Shoppers with Python

March 2, 2023May 11, 2020
Customer Purchase Intention Prediction Python Machine Learning

Most online stores welcome countless visitors every day, but only a fraction of those visitors will make a purchase. Purchase … Read more

  • Relataly LinkedIn Page
  • Relataly Twitter Page
  • Git Hub Repository
  • About
  • Privacy Policy
  • Impressum
© relataly.com 2023
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Do not sell my personal information.
Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT