DecisionTree.jl Reviews & Product Details

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The well-built packages for Julia implementation of the decision tree support various classifiers that help our business use case implementations. It would have been great if we had heard of this product earlier.

There are no other competitors that I know of or have tried, but the compatibility and customization help us a lot with meeting the needs of our customers. Review collected by and hosted on G2.com.

Nothing to dislike about the packages. Works pretty well as per our expectations and our business needs. Looking forward to frequent updates to ensure that we are working with the latest features. Review collected by and hosted on G2.com.

Adaptive boosting, cross validations across mixed data Review collected by and hosted on G2.com.

Algorithm is too complicated which a layman needs more knowledge transferred through a training courses Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

Nothing as of now. Needs more introduction to different communities Review collected by and hosted on G2.com.

Its support for Classification and regression tests, powered by high-performing language Julia Review collected by and hosted on G2.com.

Lack of better community support and complexity Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Nothing in particular, it seems like a very good tool to me. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I like the fast way of tracking entitles and linking observations. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I like how easy it is to use also helps with algorithms and the outcomes very easy. Review collected by and hosted on G2.com.

Nothing I don't dislike a single thing maybe could be updated here and there for smaller percentage error Review collected by and hosted on G2.com.

I like the fast way to track entities and among other things. Review collected by and hosted on G2.com.

Nothing particularly, there are other programs that serve the same purpose. Review collected by and hosted on G2.com.