Weka Reviews

Name: Weka
Brand: Weka
Rating: 3.8 (14 reviews)

Vendor: Weka

3.8 out of 5

14 reviews
78% willing to recommend

1,689 followers

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What is Weka?

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

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Weka is the #2 ranked solution in top Data Mining solutions and #4 ranked solution in top Anomaly Detection Tools. PeerSpot users give Weka an average rating of 7.6 out of 10. Weka is most commonly compared to KNIME: Weka vs KNIME. Weka is popular among the large enterprise segment, accounting for 55% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a university, accounting for 20% of all views.

Helped 831,791 peers since 2012

Featured reviews

AwaisAnwar

Treasury Management in Finance Department at National University of Pakistan

I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results. Moreover, a new user interface would be great, especially for beginners. Something that guides them through the available tools and helps them achieve their goals. I haven't seen anything like that myself, though maybe it's there and I missed it.

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Abuto Vincent

Weka Specialist at freelancer

If you were to open the software, there's a section written filter. Then you'd choose your filtering. The filter section lacks some specific transformation tools. If you want to change a variable from a numeric variable to a categorical variable, you don't have a feature that can enable you to change a variable from a numeric variable to a categorical variable. This needs to be improved. Also, when you go to classification, there are some cases in which, under any employed data, under the classification section that you can not actually use tests data alone or trend data alone. Under classification and clustering as well, they should give options to only supply when you're making classification or performing classification on a dataset, then there needs to be an option to either use at trend data first, and then you supply a test data later on. If they went full open-source, like Python and R, it would help the growth of the solution.

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Xavier Suriol

Manager, Facilities at XS AMSAFIS DATASETS, S.L.

In a new machine learning job, if the method is a bit foreign to me, if I have to do it in R, it could be a tedious task. First, I need to identify the libraries required for the new methodology. This can involve identifying two, three, or even four libraries. Then, I need to read their manuals thoroughly. This is time-consuming. In Weka, as all machine learning tools are on my desktop, I easily find out the method. As a freelancer, people send me datasets, and I work on the statistics at home before providing the solution. When a solution needs to be implemented on a server, server programmers install it on the server. This is similar to Power BI, where I prepare files on my desktop, and someone else uploads them to the server for others to access. I think I cannot send a Weka solution to a server programmer. In Weka, anyone can run the program without being a programmer, which is a good feature since the entry cost is very low.

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Weka mindshare

As of January 2025, the mindshare of Weka in the Data Mining category stands at 21.6%, up from 19.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Mining

PeerAnalyst reports

Type	Title	Date
Category	Data Mining	Jan 29, 2025	Download
Product	Reviews, tips, and advice from real users	Jan 29, 2025	Download
Comparison	Weka vs KNIME	Jan 29, 2025	Download
Comparison	Weka vs IBM SPSS Statistics	Jan 29, 2025	Download
Comparison	Weka vs IBM SPSS Modeler	Jan 29, 2025	Download

Title	Rating	Mindshare	Recommending
KNIME	4.0	25.5%	94%	59 interviews Add to research
IBM SPSS Statistics	4.0	15.9%	91%	38 interviews Add to research

Valuable Features

"It is a stable product."
"The interface is very good, and the algorithms are the very best."
"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."

Room for Improvement

"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
"Weka could be more stable."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."

Pricing

"We use the free version now. My faculty is very small."
"As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."
"The solution is free and open-source."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Weka Buyer's Guide for additional reliable information.