RapidMiner Valuable Features

reviewer1260093
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS. RapidMiner is easy for people to get started when they want to use it. They do not have to be very skilled and can easily put up a data flow, read data, remove the missing values, tidy up the data and then put it through a decision tree or regression analysis. It is easy to add functionality using Python or R code. Their tutorials, including the videos, are very good. Another powerful feature is that it will try out a large variety of machine learning algorithms and then compare them. If you're a beginner, it's a good way of getting started because it will point you in the right direction. For example, it will point you towards decision trees or support vector machines, and it will tell you why. View full review »
RajivSharma
Senior Product Manager at CustomerXps Software
The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model. The features the solution offers are quite extensive. We haven't had a chance to utilize all of them yet. The solution is constantly evolving to continue to be cutting edge. View full review »
reviewer984648
Professor at a university with 51-200 employees
The feature that I like the most is the business of utilization. You just have to connect with an operator to launch an analysis state to read the data. Then, you filter with another operator and clean it with another one. You can also use machine learning algorithms and then it gives you the results. Compared to when you are programming with Python, where you have to write all of the instructions, this is better because the effort of programming takes more time. The best part of RapidMiner is efficiency. View full review »
Learn what your peers think about RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: April 2020.
448,775 professionals have used our research since 2012.
reviewer984648
Professor at a university with 51-200 employees
The best thing about RapidMiner is efficiency. RapidMiner is very easy to use. You just have to connect operators to launch an analysis state. You read the data with one operator, then filter it with another, and clean it with another. Then, you use an operator for the machine learning algorithms and the results are generated. In contrast, when you are programming in Python you have to write all of the instructions and it takes longer to do. In the most recent version, they added automation of the cleaning of data, which is a very interesting feature. View full review »
reviewer1088973
Pre-Sales BI at a wholesaler/distributor with 10,001+ employees
The most valuable feature is what the product sets out to do, which is extracting information and data. View full review »
reviewer1025025
Project Engineer at a engineering company with 10,001+ employees
The documentation for this solution is very good, where each operator is explained with how to use it. There is a very clear structure between building a process and then looking at the results. View full review »
Rohini Kram
Data Scientist at a tech company with 51-200 employees
The most valuable features are the Binary classification and Auto Model. View full review »
Learn what your peers think about RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: April 2020.
448,775 professionals have used our research since 2012.