Weka Reviews

In my university, we used Weka. Weka was used in marketing by my professor, I was preparing a presentation for PhD proposals specifically on energy consumption and renewable resource utilization. So, I needed data mining tools.

Weka's is fine for basic results, no big issues there. 

But if you need visualizations, it's not the best choice. For someone who just needs analysis, Weka serves the purpose. 

But nowadays, good visuals are crucial for presenting findings and telling a story. In my practical experience at the university, when people need quick results with strong visualizations, I don't recommend Weka.

I run the method "Association rules" in Weka, and also regression trees like RandomForest.

Weka is written in Java like other standalone programs but as I don't know Java, I don't use its "Simple CLI" application. In Weka, I use menu options. I am mainly a programmer in R and although Weka has parsers for R, I don't use them.

If I didn't know any language, Weka would be my solution. But as I know R and Python, Weka is not my first solution although I acknowledge that for methods that I don't usually handle, Weka is the quickest way to approach them.

If the user is not a programmer, Weka is the best option to approach machine learning.

Every method of machine learning is available on Weka. They may not be the ultimate solution, as R has many solutions since many university scholars use R to improve knowledge. 

In Weka, every method is at your fingertips. In a language, the method must first be installed.

We are using Weka for machine-learning purposes.

Weka eliminates the need for coding, allowing you to easily set parameters and complete the majority of the machine learning task with just a few clicks.

We discovered that it could be used well with labs, thanks to the attributes and instances.

I like the fact that it doesn't require programming skills.

They have YouTube videos you can watch and learn and stuff. It’s pretty straightforward. I know that it's user-friendly.

It doesn’t cost anything to use the product.

There are some reviews a few people said they had used it, and they said it was good. With the little that I have done, I’ve noted that it has a good interface. There's data visualization. You can filter and create different scenarios and instances, add missing data, et cetera.

I haven't really utilized other automation learning tools. I'm just starting to use Weka. I'm not going to be able to say, "Oh, this is the area they should improve on." I'm mostly learning how to use it.

I have heard people say that they didn't like it. Since it was built by a university for machine learning purposes, they don't have good support. So I know that's an area for improvement.

A few people said it became slow after a while.

I've handled different projects with this solution. After college, I've handled different projects. The most recent project that I handled was for a company from India. They were looking for a measure classification in regards to the type of engines that cars have, and the pollution levels that they have.

There was a mixture of text data that had to be classified. There was the need to transform the text data to a data type that would be easily classified. When employing text data you can't do classification directly. I had to clean the data and program all the variables to suit the required information.

The client has not provided me with a review yet.

However, I have benefited greatly as it's given me the confidence to tackle tedious projects that clients did not want to tackle in either Python or any other data analytics or data science software. By gaining that confidence, knowing very well that you have enough analytical skills, and now translating that to software-based platforms and juggling around with the same, has actually given me some level of proof and confidence. 

Besides experience, the fear of not wanting to handle things is what might hold you down. As far as I know, with the number of years that I've used Weka, the confidence part is the most important item I receive from the solution.

The interface is very good, and the algorithms are the very best. Weka has a lot of algorithms and beautiful documentation for beginner learning. It is very good for my students. My students use Weka to learn data mining.

Weka could be more stable. 

My domain is pure data analysis and data science machine learning. The first time I used Weka, five years back, I did a research project. I prefer to work with Weka whenever I have small and clear projects.

Weka is a very nice tool and it helped me to solve any machine learning problem in one minute. In case of machine learning algorithms, classification, or support machines, I used to use this tool to implement those algorithms. 

Whenever I get any work on any other platform suppose in hours. So what I initially do, I ran the data set in the Weka platform first. It gives me a clear view that this data set has certain attributes and offers some observations. I can implement different machine learning algorithms if this is a classification.

I use two or three algorithms. If we find that the performance of the logistic regression is good then I can implement those in other platforms also.  Weka is a good tool for any analysis. 

There are some missing values there. We can replace the missing values using the mean values. I use that filter to see which names were replaced. It's in the filter, then we have to go to that unsupervised, then replace missing values.

I use that filter to replace missing data. Weka has the option to check important attributes. I use that internally, I found that everything is important. Then initially I applied my dataset to implement the classification problem. 

There is less demand for projects that require Weka as opposed to R or Python.

Weka is a very nice tool, it needs very small requirements. If I want to implement something in Python, I need a lot of memory and space but Weka is very lightweight. Anyone can implement any kind of algorithm, and we can show the results immediately to the client using the one-page feature. The client always wants to know the story. They want the result. 

Accuracy is 90% and we can show the predicted results. What the predicted error is and what the true positive rate is. This is what the user wants. They don't want to know how complex your queries are. They don't bother about it.

It saves time for the developer and provides a summarized view without unnecessary information for the customer. 

I used Weka for my Master's thesis. I've used it a couple of times for my personal usage or a quick analysis or graph. You can do a reselection quicker and you can get the graph and put it in our report and do classification. If any project is present, I could develop it.

For my Master's thesis, I could do a quick analysis. We have a huge amount of data. It was not big data, but it was many Giga. I had to work with it in batches, but it helped me to apply prediction models to do some hypotheses with the data to analyze the reason why some people were migrating, depopulating the rural towns, and going to the peripheral grounds around the big cities. In this case, I used many tools like Access, Weka, and some other GIS (Geographic Information Services) for mapping. But Weka helped me with this analysis in an easy way. I could select and apply models. It helped me to do it faster.