Weka For Mac
Weka for Mac is a collection of machine learning algorithms for solving real-world information mining problems.The algorithms tin either endure applied direct to a information gear upwards or called from your ain Java code.
It contains the tools you lot'll postulate for info pre-processing, classification, regression, clustering, association rules, as good as visualization. The application is also appropriate for developing novel machine learning schemes.
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Key features include:
- Machine learning.
- Data mining.
- Pre-processing.
- Classification.
- Regression.
- Clustering.
- Association rules.
- Attribute selection.
- Experiments.
- Workflow.
- Visualization.
Weka for Mac's collection of algorithms make from those that withdraw keep info pre-processing to modeling. The inwardness info mining algorithms include regression, clustering equally well as classification.
Although Weka for Mac has a full suite of algorithms for information analysis, it has been built to withdraw keep information every scrap unmarried apartment files. Subsequently, it does not withdraw maintain multi-relational mining as well equally sequence modeling.
Overall, Weka for Mac is a proficient information mining tool with a comprehensive suite of algorithms. The interface is OK, although with 4 to select from, each alongside their ain strengths, it tin suffer awkward to pick out which to motion with, unless you lot lot withdraw hold a thorough cognition of the application.
Looking for the Windows version of Weka for Mac? Download Here
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Technical
- Title:
- Weka for Mac three.8.two for Mac
- File size:
- 124.fifteen MB
- Requirements:
- Mac OS X
- Language:
- English
- Available languages:
- English language,
- German,
- Spanish,
- French,
- Italian,
- Japanese,
- Polish,
- Chinese
- License:
- Free
- Date added:
- Monday, January 15th 2018
- Author:
- Weka Development Team
- SHA-1:
- b7041c985ceef85ce434f1ab84135384a6a87331
Changelog
We don't withdraw maintain any alter log information still for version 3.8.two of Weka for Mac. Sometimes publishers withdraw maintain a petty slice to brand this info available, equally good every bit then please bank check back inwards a few days to come across if it has been updated.
Can you lot help?
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