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Weka

A collection of machine learning algorithms and data analysis tools for data preprocessing, modeling, and visualization

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Comprehensive Algorithms
Offers a wide array of algorithms for data analysis and predictive modeling.
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User-Friendly
Easy-to-use graphical user interface
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Extensible
The user can customize and extend its functionality to suit your needs.
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Data Preprocessing
Clean, transform, and prepare data for analysis.
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Classification
Train models to label data into predefined classes.
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Regression
Predict numeric values using regression models.
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Clustering
Group similar data points together.
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Feature Selection
Identify relevant features for better model performance.
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Visualization Tools
Explore data patterns visually.
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SQL Database Connectivity
Access SQL databases for seamless integration.
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Flat File Format (ARFF)
Standardized input format for data points
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Workflow Management
Allows building workflows to automate data processing and model building
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Evaluation Tools
Provides metrics and techniques to assess the performance of machine learning models
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Experiment Comparison
Allows you to compare and analyze the results of different models applied to the same data
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Scalability
May not excel in handling exceptionally large datasets or distributed computing scenarios.

Platform

Desktop
Language
Java

Social

System Requirements

#MinimumRecommended
1
Java v8
If you are using Windows and your computer has a display with high pixel density (HiDPI), you may need to use Java 9 or later
#Minimum
1
Java 1.4
#Minimum
1
Java 5
#Minimum
1
Java 6
#Minimum
1
Java 7

Ratings

4.58
5

Capterra
4.0
5
based on 7 reviews
Class Central
4.8
5
based on 19 reviews
G2CROWD
4.5
5
based on 10 reviews
SourceForge
5.0
5
based on 50 reviews

Developer

Written in

Java

Initial Release

1 May 2000

Repository

License

Categories