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WEKA VS XGBoost

Compare WEKA VS XGBoost and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

WEKA logo WEKA

WEKA is a set of powerful data mining tools that run on Java.

XGBoost logo XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
  • WEKA Landing page
    Landing page //
    2018-09-29
  • XGBoost Landing page
    Landing page //
    2023-07-30

WEKA

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website tools.cms.waikato.ac.nz
Details $-
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XGBoost

Categories
  • Data Science And Machine Learning
  • Business & Commerce
  • Online Services
  • Data Science Tools
Website github.com
Details $
Edit details

WEKA videos

+ Add

Review of Feature Selection in Weka

More videos:

  • Review - Getting Started with Weka - Machine Learning Recipes #10
  • Tutorial - Data mining with Weka | Data mining Tutorial for Beginners

XGBoost videos

+ Add

XGBoost Part 3: Mathematical Details

More videos:

  • Review - XGBoost A Scalable Tree Boosting System June 02, 2016
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Category Popularity

0-100% (relative to WEKA and XGBoost)

WEKA

XGBoost

Data Science And Machine Learning
91 91%
Data Science And Machine Learning
9% 9
Data Science Tools
95 95%
Data Science Tools
5% 5
Business & Commerce
0 0%
Business & Commerce
100% 100
Python Tools
100 100%
Python Tools
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare WEKA and XGBoost

WEKA Reviews

15 data science tools to consider using in 2021
Weka is free software licensed under the GNU General Public License. It was developed at the University of Waikato in New Zealand starting in 1992; an initial version was rewritten in Java to create the current workbench, which was first released in 1999. Weka stands for the Waikato Environment for Knowledge Analysis and is also the name of a flightless bird native to New...
Source: searchbusinessanalytics.techtarget.com

XGBoost Reviews

We have no reviews of XGBoost yet.
Be the first one to post

Social recommendations and mentions

Based on our record, XGBoost seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

WEKA mentions (0)

We have not tracked any mentions of WEKA yet. Tracking of WEKA recommendations started around Mar 2021.

XGBoost mentions (1)

  • CS Internship Questions
    By the way, most of the time XGBoost works just as well for projects, would not recommend applying deep learning to every single problem you come across, it's something Stanford CS really likes to showcase when it's well known (1) that sometimes "smaller"/less complex models can perform just as well or have their own interpretive advantages and (2) it is well known within ML and DS communities that deep learning... Source: almost 2 years ago

What are some alternatives?

When comparing WEKA and XGBoost, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

NumPy - NumPy is the fundamental package for scientific computing with Python

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

OpenCV - OpenCV is the world's biggest computer vision library

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