---
title: DecisionTree.jl Reviews
meta_title: 'DecisionTree.jl Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 10 reviews by the users' company size, role or industry to
  find out how DecisionTree.jl works for a business like yours.
aggregate_rating:
  rating_value: 3.9
  review_count: 10
  scale: '5'
date_modified: '2026-06-21'
parent_category:
  name: Artificial Intelligence
  url: https://www.g2.com/categories/artificial-intelligence
---

# DecisionTree.jl Reviews
**Vendor:** DecisionTree.jl  
**Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning)  
**Average Rating:** 3.9/5.0  
**Total Reviews:** 10
## About DecisionTree.jl
DecisionTree.jl is a Julia classifier with the implimentation of the ID3 algorithm with post pruning (pessimistic pruning), parallelized bagging (random forests), adaptive boosting (decision stumps), cross validation (n-fold) and support for mixed nominal and numerical data.




## DecisionTree.jl Reviews
  ### 1. DecisionTree.jl helps to implement Classification and Regression Tree in few simple steps

**Rating:** 4.5/5.0 stars

**Reviewed by:** Bishnu M. | Senior Project Manager, Information Technology and Services, Enterprise (> 1000 emp.)

**Reviewed Date:** March 13, 2023

**What do you like best about DecisionTree.jl?**

DecicionTree.jl is a CART (Classification and Regression Tree) package in the Julia machine learning programing language. Various steps like loading data, segregating data into training and testing, and building a model is very easy to implement using this package in Julia. There is no need to transpose data as DecisionTree.jl does not require it. It just takes a two lines statement to build the model providing a few arguments (e.g. depth, minimum number of samples in leaf, minimum number of samples in split etc.) as per user requirement. This package saves lots of time and money for regression and classification problems compared to creating a decision tree ML model from scratch. We used decisionTree.jl for a retail client to build a model to classify potential customer data and were able to achieve near about 70% accuracy, which is considered as very good accuracy.

**What do you dislike about DecisionTree.jl?**

There is no issue as such with DecisionTree.jl as it works smoothly for simple to medium complex problems with good accuracy. I have yet to test its performance for complex problems where input data is very diverse, with more than 20 attributes to consider for classification or regression. One small disadvantage for programmers is that DecisionTree.jl package does not assign data type automatically to your loaded data. It seems it does not assign a data type to improve performance. So, you need to write a few more statements to caste data type to your data before building a model.

**What problems is DecisionTree.jl solving and how is that benefiting you?**

DecisionTree.jl is a package that helps to build a decision tree or regression tree ML model easily in Julia language. A programmer need not build a model from scratch, which makes them productive and saves client's money. We used this package for a retail user for a small project. It was a rapid implementation and worked successfully for production data.

  ### 2. Decision tool

**Rating:** 4.0/5.0 stars

**Reviewed by:** Kishore Kumar S. | Senior Consultant IT, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 09, 2023

**What do you like best about DecisionTree.jl?**

Adaptive boosting, cross validations across mixed data

**What do you dislike about DecisionTree.jl?**

Algorithm is too complicated which a layman needs more knowledge transferred through a training courses

**What problems is DecisionTree.jl solving and how is that benefiting you?**

Effective machine learning for our business development needs is well built with the help of Julia implementation and supports tree like structure with various classification that helps our business use case implementations.

  ### 3. Review for decision tree

**Rating:** 4.5/5.0 stars

**Reviewed by:** Saurabh B. | Lead Consultant, Enterprise (> 1000 emp.)

**Reviewed Date:** March 14, 2023

**What do you like best about DecisionTree.jl?**

Attended one of the session for Julia AI and decision tree.jl and found that to be insightful and useful. Its ability to convert the convert the problem in a working model was awesome

**What do you dislike about DecisionTree.jl?**

Nothing as of now. Needs more introduction to different communities

**What problems is DecisionTree.jl solving and how is that benefiting you?**

Design a forecasting model for price prediction

  ### 4. Powerful package for building and using decision tress

**Rating:** 4.0/5.0 stars

**Reviewed by:** Manoj P. | Lead Consultant, Enterprise (> 1000 emp.)

**Reviewed Date:** March 09, 2023

**What do you like best about DecisionTree.jl?**

Its support for Classification and regression tests, powered by high-performing language Julia

**What do you dislike about DecisionTree.jl?**

Lack of better community support and complexity

**What problems is DecisionTree.jl solving and how is that benefiting you?**

We have multiple use cases, majority we used it for credit risk assessments

  ### 5. Tool to help with Machine Learning

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.)

**Reviewed Date:** December 21, 2022

**What do you like best about DecisionTree.jl?**

It is easy to use and allows us to work efficiently with algorithms, obtaining optimal results in the development of applications focused on usability, such as chats.

**What do you dislike about DecisionTree.jl?**

Nothing in particular, it seems like a very good tool to me.

**What problems is DecisionTree.jl solving and how is that benefiting you?**

It helps us implement more consistent learning models regarding automated learning.

  ### 6. Best tool for implementing and classifying algorithms.

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 15, 2022

**What do you like best about DecisionTree.jl?**

This tool is best in classification for pre and post running, cross-validation, and adaptive validation. The best part is pre-pruning and cross-validation. The features available are not in peer tools.

**What do you dislike about DecisionTree.jl?**

Everything is good about this, but sometimes it lacks integration and run time is high. Other than that, everything is good about this and its support for numerical features is best.

**What problems is DecisionTree.jl solving and how is that benefiting you?**

It helps me in classification through its pre and post running features, and further helps me in doing regression more productively. This tool saves me a lot of run time.

  ### 7. Good for data mining

**Rating:** 4.0/5.0 stars

**Reviewed by:** Vijay G. | AMA Host / Public Speaker, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 24, 2022

**What do you like best about DecisionTree.jl?**

I like the fast way of tracking entitles and linking observations.

**What do you dislike about DecisionTree.jl?**

There are several other alternatives in the market, but yes, that's not a problem for me. So basically I don't have anything to dislike about it.

**What problems is DecisionTree.jl solving and how is that benefiting you?**

It is mainly helping me with my data mining.

  ### 8. Decision tree

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Consumer Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 18, 2022

**What do you like best about DecisionTree.jl?**

I like how easy it is to use also helps with algorithms and the outcomes very easy.

**What do you dislike about DecisionTree.jl?**

Nothing I don't dislike a single thing maybe could be updated here and there for smaller percentage error

**What problems is DecisionTree.jl solving and how is that benefiting you?**

Helps problem solving and algorithms on finding results and all possible outcomes of what I need

  ### 9. "The branch to help you navigate the Internet"

**Rating:** 3.5/5.0 stars

**Reviewed by:** Emmanuel P. | education, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 17, 2021

**What do you like best about DecisionTree.jl?**

I like the fast way to track entities and among other things.

**What do you dislike about DecisionTree.jl?**

Nothing particularly, there are other programs that serve the same purpose.

**Recommendations to others considering DecisionTree.jl:**

I recommend it, but I also recommend that you try other programs.

**What problems is DecisionTree.jl solving and how is that benefiting you?**

It helps me to do almost the majority of data mining.

  ### 10. Decision tree helps navigate through the internet 

**Rating:** 3.0/5.0 stars

**Reviewed by:** Verified User in Media Production | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 15, 2018

**What do you like best about DecisionTree.jl?**

The tree branches linking observations. I also like the fast way of tracking entities 

**What do you dislike about DecisionTree.jl?**

Nothing stands out particularly with it. There are many other products that serve the same purpose and fundamental tools.

**What problems is DecisionTree.jl solving and how is that benefiting you?**

It benefits with helping to do some sleek data mining. 


## DecisionTree.jl Discussions
  - [What is DecisionTree.jl used for?](https://www.g2.com/discussions/what-is-decisiontree-jl-used-for)

- [View DecisionTree.jl pricing details and edition comparison](https://www.g2.com/products/decisiontree-jl/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-27+12%3A02%3A39+-0500&secure%5Bsession_id%5D=5d390a1b-016f-4a01-96d9-7f47b08c35ee&secure%5Btoken%5D=bf8e48270521fd393ac6299c4cb24c400aadd3520345b3ceac9d1e7500b6d5e0&format=llm_user)

## DecisionTree.jl Features
**Integration - Machine Learning**
- Integration

**Learning - Machine Learning**
- Training Data
- Actionable Insights
- Algorithm

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