How to Build Regression Models (Weka Tutorial #1)
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- เผยแพร่เมื่อ 13 ม.ค. 2025
- In this video, I will be showing you how to build regression models in Weka using linear regression and various machine learning algorithms (random forest, support vector machine and neural network). Weka is a GUI-based machine learning that provides access to a complete collection of functionalities to perform data science tasks (no coding) in a point-and-click fashion. This tutorial is suitable for beginners and those wanting to break into data science.
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Hi Dr. I would like to perform structural equation modelling in my PhD study. I found out that in the tutorial video, normalisation of data only require to click the icons and then the visualisation of the data will be available at the right side of WEKA. However, I understand that, in most cases normalization of data require methods such as the box plots, checking for kurtosis and skewness and others.. Also, in SEM it requires exploratory data analysis... And checking for outliers.. Can you explain, is WEKA a valid tool to be used in a PhD study? Thanx.
Brilliant!! I found this video tutorial a lot better than the other ones I have checked so far. You provided us with great explanation on every single item. Helpful!!
You're very welcome! Glad it helped!
Thanks a lot. I have literally got an assignment in Weka. Ur video couldn't have been better timing!
Awesome, glad to hear 😆
These tools (Weka, Gretl etc) are good for exploratory machine learning. Thanks for the video.
Yes they are! Thanks for watching 😊
Just wanna say, I found this video in great need for my work. You really helped me here so thank you! I really mean it
Glad to hear that it’s helpful 😊
hey data professor, my university teacher told us today about weka. And I remind that data professor has tutorial on this.
love
That's awesome!
Successfully got the linear regression model. Appended x and y in csv file itself. Thanks.
Awesome, glad to hear!
Another brilliant video!! I am waiting for the next tutorials. Thanks, Professor.
Glad it was helpful 😊
bilişimle ilgili videolarda Türkleri de görmek mutlu ediyor
i found it really interesting to train and play with lobe, while i was doing that you surprised us with this new tool
Glad the content is helpful to you 😊
Awesome video! You're an amazing teacher!
Hey, thanks for the kind words!
Thanks Chanin. This Weka thing is awesome!!
Great, thanks for watching!
Thank you, that was a really good introduction!
Hey there! I'm a content creator too. I made a streamlit app using your tutorial and made a video on it. Have a good day, keep creating valuable content!
Thank you very much!
Unfortunately, I can't find your article on Medium.
Would you please share the link?
Great video! In your experience constructing random forest models, what is the most robust Test Option of WEKA?: 1) Use training set (I suppose means all data are used as training set); 2) Cross-validation (n-folds); or 3) percentage split (%x).
Or can we simply choose the one that produces the highest R2 value?
The most beautiful moment when you introduce yourself.
Nicely explained. Thanks.
Thanks for the encouragement 😊
Good video data professor thank you for work !!!!
Thanks for watching!
Nicely done, very useful intro.
Orange is the best GUI machine learning tool.
Cool!
Thanks for watching Ken 😊
Great session. Thanks
Glad you enjoyed it
thankyou so much sir. please make a video of how prediction works in the heart disease data set? how to create data set for heart disease and how to use the weka tool for predicting heart disease
Thanks so much, you are a savior😊
thank you 🙏🏻, this awesome video makes me to subscribe to your channel.
Glad to hear, welcome to the channel!
Hi, How can I figure out the selected features in auto-weka output? It selected bestfirst for FS and SMO for classification.
Hey do you have a video showing how to read the Summary data to compare proforma between correlation Coefficient , Mean absolute error, root mean square error, relative absolute error, and the root relative squared error. I understand the mathmatics behind each summary metric just not to sure on whether values need to be less of greater to compare performance and what good metrics look like compared to bad one?
That's a great question, I'll put this into the list of future videos, thanks!
Good work
Good video~ very helpful! Thanks~
Glad it was helpful!
Sir, Is it possible to work the raster data in WEKA software?
Quick question, must all dataset be converted to arff file, to work on WEKA?. I see WEKA can load a CSV file
Can Weka tell an apple from an orange, and further, differentiate two types of apple or orange? Anyone here worked with mass spec scan mode data (JCAMP DX files)? These are large, but simple, ASCII files, with X, Y values (m/z space volts), but with many repetitive samplings, like 10 Hz. Any tips on how to pre-process for Weka?
For high-dimensional data I would recommend to look into using PCA which can be used for interpreting the important features in the loadings plot while the PC scores coefficients can be used for model building in place of the original variables
sorry for asking this question, if you help, i will be glad, but we have a method called "elbow" to determine the best value for number of clusters, is there a way to calculate that in weka?.
Thanks for the question. Unfortunately, I don't see that feature in Weka yet.
@@DataProfessor thank you for answering my question🙏🏻
Very informative professor. My university professor gave an assignment on linear regression model
1000 instances with 3 attributes in file X. Csv and class label in file Y.csv
Do I have to append X and Y in atom text editor to model in weka?
If yes then how.
Professor need your help. I m new to weka.
Hi, .
I have data in excel format. can you please tell how to convert that data in weka readable format to run simulation?
Great insight sir
Thanks!
Is it used in the industry? This looks very easy to learn and apply, if tools like this exist freely, why isn't it more popular?
Thanks for watching. Not as much as scikit-learn and the Python ecosystem. However, in academia especially in the life sciences, Weka (and other GUI-based tools such as Orange as well as Knime) is quite popular. It's a great tool to get started right away in learning about ML, thus beginner friendly. On a similar note, Knime (a GUI-based ML workflow) is used in the pharmaceutical industry.
credit definitely goes to data prof
the language used in the video is lucid and the instructor has elaborated every aspect very well. I had a query, most of the time the data set being used for ML exploration consist of single-indicator independent variables,but what would be appropriate for multi-indicator IVs? especially those that are used in psychometric analysis ? These carry categorical values. Any recommendation for further reading or any download Data Professor ?
Thanks for watching. By single indicator do you mean binary values of 0 and 1? as for categorical values, Weka handles that automatically whereas if using Python you’ll have to do some feature encoding/mapping. For such categorical values, if you’re building a regression model you can have a look at logistic regression but if classification model then there’s my favorite, Random forest and it’s already supported in Weka.
@@DataProfessor Thank you Professor for the reply, i am interested in classification algorithms. But you see sir, I have a LISREL/ PLS type structural model wherein there are multiple indicators for a particular construct and furthermore the data is available in Likert scale format (1-7). Can you kindly do a video/tutorial on that Sir? It will help loads of people like me in consumer behaviour/human psychology and allied fields.
@@sandeepdey89 Is the data you are working on a public dataset, if yes, can you provide me with the link so I can take a look.
@@DataProfessor Respected Prof.,
The data concerned is not on public domain, but collected through online survey by myself. I can share it with you, if I can get your email ID sir.
TIA.
@@sandeepdey89 You can export the first 100 from your dataset to hellodataprofessor@gmail.com and I can take a look and provide some suggestion
haii can you guide me to do the phishing email detection using weka? i still confuse how to do it. thankyouuu
why logistic Weka having problem running Logistic Rgeression? it running for ever without results. any help will be greatly appreciated.
hi. how do i contact you.? I want to ask how to show the model that we modified in graphic/ visualize.? So that people can easily understand what we modify
Exellent Explanation
Hi Sir! I tried generating a regression model for my dataset but it has quite low correlation coefficient (even after feature selection) when tested with an external dataset. Hence, I want to check the modelability index of my dataset to detect any activity cliffs in my dataset which might be affecting the model quality. Can you suggest a method for the same?
Hi, I think Prof Kunal Roy has released a Windows software for calculating the MODI index value.
@@DataProfessor Thank you so much SIr!
Dear Data Professor
This video is beneficial!
Question
I followed your example and notice a missing term (CHMIN) in the model Classifier output:
Attributes: 7
MYCT
MMIN
MMAX
CACH
CHMIN
CHMAX
class
Test mode: 10-fold cross-validation
=== Classifier model (full training set) ===
Linear Regression Model
class =
72.8347 * MYCT +
484.8001 * MMIN +
355.5867 * MMAX +
161.2349 * CACH +
256.9383 * CHMAX +
-53.9126
I observed the same issue on my data set as well.
Please clarify.
Thank you.
Hi Dr, if I would like to build a model (using adapted questionaires), can WEKA analyse the numerical and questionaire (means) data? I may need to do an exploratory data analysis (EFA), and later the CFA... Is WEKA able to perform the analysis? I have read most researchers are using SPSSAmos. Pls assist.. I would like to explore WEKA for my PhD as the analysis tool. Thanx
I think you can do a decision tree analysis of this questionaire
@@DataProfessor what is a decision tree analysis? can i perform it with SPSS?
Hi @Etty, I think you better use SPSS. Because Weka is intended for data mining analysis of large databases to extract hidden patterns. And the center of data mining is helping for decision-making based on data-driven analysis. However, in your case, statistical packages are by far recommended.
Hi, i already managed to enter my data ( after saved it to .csv file), but i'm having problem to understand the results ( as it includes the No - frequency of datas).. should i delete those from my initial data? and i cnt see the relation with my study outcome.. pls assist.
Hi, not sure if the no frequency of data means there is no data? Would recommend to consult the person collecting the data for clarification. Otherwise, If a variable has no variance then you can go ahead and delete them
@@DataProfessor hi Dr.. No.. What I mean was.. The initial column has (number, 1,2,3,4,5), should I delete those? Should I delete the numbering column beforehand? Also, if I would like to find regression.. Is based on how you explain in the video right?
Yes, you can go ahead and delete the numbering columns as it provides no meaningful information. Yes, please perform as described in the video.
The problem is How do you use the exported model ........because its not in a tensorflow or Keras readable format....... its only in weka format.
How to vitualize decision tree with random forest in knowledge flow wekadecision tree??
invalid stream header is the error message am getting when i try loading the data
Can Weka make confusion matrix diagram?
Is there a limit of Features? Weka keeps running forever when I run a dataset with 47 features. even whith 30 features.
When i use it 1st time it goes well. But today it always said cannot determine file loader automatically, please choose one
Dear data professor , kindly help me solve my problems.
1) I have data of 150 instances. I have to divide it into 100 train and 50 test. How can I do this.
If I use cross validation parameter to 50 it will change training data iteratively and remaining as test . How can I do this in weka. I don’t see any option.
2) also I don’t see any option for one vs rest classifier ( for logistic regression and for sum)
Kindly help
In what format should i save my data? i cnt open my data set to try on the WEKA software. pls help
CSV and ARFF works
@@DataProfessor Thanx. I managed to open the file
How image files( minist & cifar) are converted to weka format?
Hi how I can link weka dataset to Matlab?
Need for ur help!
In WEKA, percentage split can be done for
Only 66%
Only 33%
Only 50%
Any percentage??? can u pls answer this
Is there any option for using regulariser and subsequently train a linear regression model by changing regularisation parameter in weka???
I have done it for l2 regularisation . Gave values 1-10 for ridge in options
Where did you get the data EXACTLY from ?
very informational video! greeting from germany
Thanks for watching!
how can i use a model of weka in a backend of a website?
Hello @Data Professor , great video. I would like to quickly ask something you said about cross-validation. Basically, If you split the data in 10 folds and each time use one different testing fold, doesn't that mean that our testing set will be seen by our model? Since each time we use a different testing set from our fold
Each 10 fold will run seperately and the best fold is shown as output.
Is scikit learn GUI coming soon ?
Can you upload a video and show us how you build bayesian model
Thank you!
You're welcome!
From where to generate discriptors.
There are several softwares for which to generate molecular descriptors. The one that I use a lot is called PaDEL-Descriptor and it is available at www.yapcwsoft.com/dd/padeldescriptor/. I made a video showing how to use PaDEL to generate descriptors and how to then prepare it for use as input features to build a ML model. Please check out this fourth video in the Weka series th-cam.com/video/yf3N0nnAFDk/w-d-xo.html
From where I get dataset for weka
There are some example datasets that comes with the downloaded Weka file and it is in a sub-folder called data
fyi - its pronounced we ka: we from wear & ka from car
Hi professor, I have question regarding Excel file and Csv file?
Yes sure
@@DataProfessor Can you write your email to put the question to attach to you the screenshot of the problem that appeared to me in the Weka software?
Thank you very much.
@@yasminal-omary3360 It’s hellodataprofessor@gmail.com
@@DataProfessor Can you check the email.Thank you very much
Great
not a CS guy here, just an avg bioinformatics guy , studied Ai in last semester , learning to creat ML models it seems easy so faar
Thank you sir
Thanks for watching!
Thanks for this. You are great! You could consider to start skipping these download/install intros...
Thanks for the feedback, got that 😊
is jomatech your brother?
i wonder how come a bioinformatic prof did not open first breast cancer data file but instead tried cpu file :D
Haha, great question 😆
From whom can I learn little bit of data mining??? After watching this my motivation went from 50% to 1%
I am getting problem to download it
How to regression equation using random forest regression
Could you pls help with sample json file to load...its urgent pls
It’s easier if you convert json to csv then use that to prepare the Weka input file
@DataProfessor thanks for response. Yes, I am going to use csv only
how to use in Mac
thx brah
อาจารย์หล่อจังครับ
Notice me senpai.
Very bad
Has anyone ever told you that you kinda looked like @zomatech 😅
How about the forecast? otherwise no benefit of Machine learning