🚀 Big News: Socket Acquires Coana to Bring Reachability Analysis to Every Appsec Team.Learn more
Socket
Sign inDemoInstall
Socket

model-selection

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

model-selection

A Library which provides more information about suitable Machine learning algorithm for your dataset

0.0.1
PyPI
Maintainers
1

Model Selection

Scope of This Project

  • As a beginner in Data science/Machine learning field, most of us having issue in Feature Selection, Feature Extraction and Model Selection. Algorithm-Finder can help you to solve this problem. using Algorithm-Finder you can achieve the below tasks and more.

    • Model Selection
    • Feature Selection
    • Feature Extraction
    • Optimized tuning parameters
  • This package mainly used scikit-learn for most of the estimators, by using Algorithm-Finder you can apply your dataset on below models

    • ALL --> ALL IN
    • MLR --> MultiLinearRegression
    • POLY --> PolynomialRegression
    • SVR --> SupportVectorRegression
    • DTREE --> DecisionTreeRegression & DecisionTreeClassification
    • RFR --> RandomForestRegression
    • SIGMOID --> LogisticRegression
    • KNN --> K-NearestNeighbours Classifier
    • SVM --> SupportVectorMachine Classifier
    • RFC --> RandomForestClassifier
    • BAYESIAN --> NaiveBayesClassifier

FAQs

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts