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XGBoost VS IBM SPSS Statistics

Compare XGBoost VS IBM SPSS Statistics and see what are their differences

XGBoost logo XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

IBM SPSS Statistics logo IBM SPSS Statistics

IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
  • XGBoost Landing page
    Landing page //
    2023-07-30
  • IBM SPSS Statistics Landing page
    Landing page //
    2023-09-16

XGBoost videos

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

IBM SPSS Statistics videos

IBM SPSS Statistics Overview

More videos:

  • Review - What's new in IBM SPSS Statistics 26

Category Popularity

0-100% (relative to XGBoost and IBM SPSS Statistics)
Data Science And Machine Learning
Technical Computing
0 0%
100% 100
Business & Commerce
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

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

XGBoost Reviews

We have no reviews of XGBoost yet.
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IBM SPSS Statistics Reviews

Top 7 Predictive Analytics Tools
IBM SPSS Statistics is a popular predictive analytics tool. It offers a user-friendly interface and a strong set of features including the SPSS modeler, which provides advanced statistical procedures, helps ensure precision, and provides positive decision-making. All of the analytics lifecycle features are included, such as data preparation and management to analysis and...
Top 10 Free Statistical Analysis Software 2023
IBM SPSS Statistics is a popular statistical software package that is widely used in academia, research, and industry for data analysis, reporting, and visualization. Some of the key features of IBM SPSS Statistics include:

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.

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: about 2 years ago

IBM SPSS Statistics mentions (0)

We have not tracked any mentions of IBM SPSS Statistics yet. Tracking of IBM SPSS Statistics recommendations started around Mar 2021.

What are some alternatives?

When comparing XGBoost and IBM SPSS Statistics, 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.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

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

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

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

JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.