A collection of machine learning algorithms for data mining tasks
Weka 3.9.3
Key details about this download
- The file will be downloaded from secure FileHorse servers
- This file is safe and scanned with 48 antivirus apps (Virus-Total report)
- All files are in original form. FileHorse does not repack or modify downloads in any way
OperaOpera 123.0 Build 5669.47
PhotoshopAdobe Photoshop CC 2026 27.0
OKXOKX - Buy Bitcoin or Ethereum
ExpressVPNExpressVPN
Adobe AcrobatAdobe Acrobat Pro 2025.001.20841
MacKeeperMacKeeper 7.2.1
MalwarebytesMalwarebytes 5.18.2
TradingViewTradingView - Track All Markets
CleanMyMacCleanMyMac X 5.0.6
Topaz VideoTopaz Video AI 7.1.4
LockWiperiMyFone LockWiper 8.0.6
Tungsten PDFTungsten Power PDF Standard 5.1
About Weka for Mac
Weka for Mac (Waikato Environment for Knowledge Analysis) is a popular suite of machine learning software written in Java. Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. The app contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Weka for macOS is open source software issued under the GNU General Public License. Key FeaturesComprehensive Machine Learning AlgorithmsIt provides a wide range of machine learning algorithms, including decision trees, support vector machines, neural network...
HomebrewHomebrew 4.6.20
CharlesCharles 5.0.3
PosticoPostico 2.2.2.9756
SpyderSpyder Phyton 6.1.0
PortfolioAdobe Portfolio
Sublime TextSublime Text 4200
AnacondaAnaconda 3 2024.10
DbVisualizerDbVisualizer 25.2.5
Wing IDEWing IDE 11.0.6.0
WireframesBalsamiq Wireframes 4.8.6
RobloxRoblox Studio
RapidWeaverRapidWeaver 9.6.3
Why choose FileHorse?
Secure
Securely download files from our super-fast and secure dedicated linux servers
Safe
This product is 100% safe has been successfully scanned with more than 48 antivirus programs
Trusted
We serve all files as they were released. We do not use bundlers or download-managers
Why is this app published on FileHorse? (More info)