Altair AI Studio Reviews & Product Details

The most helpful aspect of Altair RapidMiner is that it is very beneficial for beginners learning data science because the User Interface (UI) employs comprehensive visualization, making it very easy for beginners to learn and apply both basic and advanced techniques in data science. The error-solving guide is very helpful, offering options that users can easily select. The advantages of using Altair RapidMiner are evident in the application of data science, which typically involves programming codes but can be accomplished with an interactive and user-friendly GUI that simplifies the complexity of programming. Review collected by and hosted on G2.com.

what is less helpful and I feel in using rapidminer is that it cannot provide the results of accuracy, precision, recall and f1-score metrics, especially for multi-class classification on the confusion matrix. the shortcomings of rapid miner need to be added for more statistical processing such as non-parametric tests. Review collected by and hosted on G2.com.

Its graphical user interface enables users to perform complex data science tasks through simple drag-and-drop action Review collected by and hosted on G2.com.

Sometimes i experience slowdowns or freezing when handling large or complex datasets Review collected by and hosted on G2.com.

I used it educational and comercial platforms both for more than 2 years in my research. And, I loved it. It has several AI/ML built-in models to test and customise to analyse big data in tabular form having temporal and several other forms of data fields.

There are many evaluation and validation tools. The data can be viewed as pie, sun burst, bars, etc. Confusion Matrices are the best form of representation of results. Other statistical evaluation measures are also there as; mean squared error, log loss, etc. Review collected by and hosted on G2.com.

Visual representations are there but not as explainatory in terms of associations as we found in orange framework. Review collected by and hosted on G2.com.

Rapidminer is an intuitive and easy-to-use tool that lets me create workflows by dragging and dropping operators. It has a wide range of algorithms and plugins for different data techniques and methods. It also has a supportive community and team that offer helpful resources and guidance. Review collected by and hosted on G2.com.

Rapidminer can be slow or freeze with large or complex data sets. It also has limited options for exporting or sharing results with other tools or platforms. Moreover, RapidMiner can be costly for some users who want more advanced features or functionalities. Review collected by and hosted on G2.com.

It is easy to use, versatile, community support AI ML models and visualisation. Review collected by and hosted on G2.com.

Cost, performance with large dataset,exporting limitations. Review collected by and hosted on G2.com.

RapidMiner has the power to take citizen data science to the next level. Instead of python, employees can use RapidMiner's low-code system to create advanced data processing and machine learning models based on their existing datasets. Review collected by and hosted on G2.com.

RapidMiner is not free and open source, while some of the internal code is open source. RapidMiner only allows 10,000 lines in examplesets unless it is a paid version. Review collected by and hosted on G2.com.

RapidMiner is a software which useful where user don't want to code.

It is drag and drop based software.

Alot of library is there. Review collected by and hosted on G2.com.

It does not provide freedom like programming does.

We can not customize things easily by ourselves.

Also we can not take live data. Review collected by and hosted on G2.com.

I like the UI and the assortment of plugins/add ons. It was easy to install and had a ton of videos to support my use case. Support was good and answered my questions promptly. Review collected by and hosted on G2.com.

So far cannot find anything that stands out as a dislike. There is a bit of information overload and can be a bit overwhelming at first but it's acceptable. Making some improvements to the onboarding would be great. Review collected by and hosted on G2.com.

It's a user-friendly tool that allows data analysts and data scientists to run several ML models, statistical analyses and perform EDA on the same platform. Allows a variety of plugins for integration and is compatible with iOs & Android systems. Review collected by and hosted on G2.com.

Rapid Miner software is not cost-effective. It doesn't support customization of base models for Machine Learning. Searching operators proves to be challenging at times, considering the interface design. Review collected by and hosted on G2.com.

Visual process flow, comprehensive set of current analysis tools, cross validation, and sliders for scenario/what-if analyses. And all of this is free for academic use for both professors and students. Review collected by and hosted on G2.com.

Lack of learning resources available to get started from scratch. There are lots of videos, so this may be a non-issue for most learners. I prefer books and there is nothing except one Marketing Analytics textbook (Hair et al 2021) that is current, and uses rapidminer for some analyses. Review collected by and hosted on G2.com.