Adicted to the tutorials, new to Weka, will do the full 35 video training :-) Thanks! My first .arff file => @relation grumpy @attribute'watched Weka Tutorial video' { 'yes','no'} @attribute'romantic evening' { 'yes','no'} @attribute'emotion' { 'happy','grumpy','so-so'} Thanks Rushdi!
Great Tutorial but where can i change the settings to set 5 decimal digits in the result of classification. Because i want see the predict with 5 digits. The data to train is 5 digits. Thanks
Done watching Tutorial03.Classification101 using Explorer(Classification). I've learned that we can use the weka classifer to anaylze and test the performances
Done Watching Tutorial03.Classification101 using Explorer(Classification). Ive learned the performance can most simply be measured by the counting the proportion of correctly predicted examples in an unseen test dataset. And by using the 10 fold cross-validation.
Very useful thanks a lot, you mentioned if you want to learn which classifier work for your problem we have to get back to the old school book..... could you please name a book/books explains that? Thanks again
hi, i am new to weka and learning for my thesis. i am a bit confused about topics, on which i can continue my thesis related with text mining or usage mining, if you can suggest some topic it would be really helpful. thanks
outlook sunny 3.0 4.0 overcast 5.0 1.0 rainy 4.0 3.0 [total] 12.0 8.0 can you please explain why the total is 12+8=20 ?...isnt the total supposed to be 14 ?
does that fold setting mean to cut into piece of number (eg : 10) and for the testing. does it random the fold? i mean, if it not random the fold set. how different on "Use Training Set"
In "use training set", u train with the whole data and test over it. in Cross-validation you divide the data set between training and testing. So you select how much observations you need for testing which are the folds
Great tutorials! I'm new with Weka and I have some questions: I want to use weka for genomic analysis and i dont know how to configure the .arff file. Weka can be used for an .arff file with string sequences? Thx
Hi Rushdi...I need a help...I need to remove a particular attribute from my training set, but I wont remove it from the test set. I do it using remove filter and I am getting train and test set incompatible error. Can you please help me with that?
Hi Rushdi, The precision is measured by the number of correctly classified instances divided by the total classified instances(number of correctly classified instances + number of incorrectly classified instances), in this case, it is 9/14=0.64, why the displayed precision is 0.667. The same to the "recall" property.
Don't you use a dataset? Because you need some historical data that emcompasses labeled data, then you select a classifier to work on new sets of observations that are the test data
Towards an Applicability of Current Network Forensics for Cloud Networks: A SWOT Analysis -- this is my research paper... How can i use classification and clustering in cloud network attacks...plssss help me
What datasets are used to measure accuracy, whether any training data or test data or the whole test data combined with the data training? Can I ask further through ym or email? what's your email?
yuppppp....aftr seeing dat only i m telling uhhh....d explaination was not dat much good as i expected it to be ....wanted to knw wen n on wat basis we can select those test options ....i mean how can we knw wich test options we have to select fr our data set :)
Thanks. This tutorial is like a hands-on. You need to see research papers for selecting the right method of testing. For instance, one quick solution if your dataset is small: go for k-fold CV. But all the methods have their pros and cons, which are intentionally left out from the tutorial as they are not the scope of it.
THANK YOU!! I'm a student and I'd fail uni without your videos! Sending to everyone doing Data analtics coursework!!! :)
Adicted to the tutorials, new to Weka, will do the full 35 video training :-)
Thanks!
My first .arff file =>
@relation grumpy
@attribute'watched Weka Tutorial video' { 'yes','no'}
@attribute'romantic evening' { 'yes','no'}
@attribute'emotion' { 'happy','grumpy','so-so'}
Thanks Rushdi!
I am done watching Weka Tutorial 03. I've learned how a simple classifier is applied on a data set by using the 10 fold cross-validation
This is the greatest tutorial !!! Thanks a lot !!
Thanks a lot for the nice tutorial. Also, I appreciate this 'giving back'.
Great Tutorial but where can i change the settings to set 5 decimal digits in the result of classification. Because i want see the predict with 5 digits. The data to train is 5 digits. Thanks
Done watching Tutorial03.Classification101 using Explorer(Classification). I've learned that we can use the weka classifer to anaylze and test the performances
Thanks a lot for the nice tutorial.
Thank you so much for the tutorials !!
Done Watching Tutorial03.Classification101 using Explorer(Classification). Ive learned the performance can most simply be measured by the counting the proportion of correctly predicted examples in an unseen test dataset. And by using the 10 fold cross-validation.
Thanks for watching
Very useful thanks a lot, you mentioned if you want to learn which classifier work for your problem we have to get back to the old school book..... could you please name a book/books explains that?
Thanks again
My suggestion will be elements of statistical learning and data mining by ian witten. Also, please take a look at andrew ng's ML course.
excellent,, now i m prepared to write an answer of ten pages and fifteen marks
Would it be possible that you upload this video with a bit of an higher volume? Really useful work btw, thank you very much!
Very good tutorial ... thanks Rushdi
thank You I Get More . But When I Try On My Pc All Classifier are Inactive Except ZeroR Why Is That
this was very helpful. Thank you so much
Very nice tutorial, thank you!
Such a great job! Thanks alot.
hi rushdi, im still replay your tutorial. very good tutorial.
So, Weka can develop a classification decision tree by clicking? Can it do multi label classification? Which gives an array of output?
hi, i am new to weka and learning for my thesis. i am a bit confused about topics, on which i can continue my thesis related with text mining or usage mining, if you can suggest some topic it would be really helpful.
thanks
hi i install 3.9 weka tool version i use multilayer perceptron classifier but my start button are not enabled how i enabled that plz help me
outlook
sunny 3.0 4.0
overcast 5.0 1.0
rainy 4.0 3.0
[total] 12.0 8.0
can you please explain why the total is 12+8=20 ?...isnt the total supposed to be 14 ?
I didn't come across this yet. On experimenter, I have seen that it is possible to get weighted TP, FP and so on.Take a look at that.
does that fold setting mean to cut into piece of number (eg : 10) and for the testing. does it random the fold?
i mean, if it not random the fold set. how different on "Use Training Set"
In "use training set", u train with the whole data and test over it. in Cross-validation you divide the data set between training and testing. So you select how much observations you need for testing which are the folds
Salaam When i click on Naive Bayes it didnt get selected and it is not highlighted please suggest me your help..
I'm just finish Tutorial 03.Classification 101 using Explorer(Classification). I've learned that we can use the classifiers and applied data.
Very interesting. Thank you very much
Nice work .. thanks a lot !
Hi, thank you for your tutorials! Can you please point me to some online resources on the usage of classifiers? Thank you very much.
Great tutorials!
I'm new with Weka and I have some questions: I want to use weka for genomic analysis and i dont know how to configure the .arff file. Weka can be used for an .arff file with string sequences? Thx
Awesome. Thanks a lot!
hello Mr.Rushdi
Can you tell about face recognition data set in weka?
when i run same classifier on same dataset again. time to build model differ by say + or - 2 sec.. why is it so. does it slways keep on changing
Hi Rushdi...I need a help...I need to remove a particular attribute from my training set, but I wont remove it from the test set. I do it using remove filter and I am getting train and test set incompatible error. Can you please help me with that?
Hi Rushdi,
The precision is measured by the number of correctly classified instances divided by the total classified instances(number of correctly classified instances + number of incorrectly classified instances), in this case, it is 9/14=0.64, why the displayed precision is 0.667. The same to the "recall" property.
Cao Thinh
It's 8/12 (tp/positives predicted by analyser) = 0.667.
good tutorials, THX!
It was helpful, thanks.
Hi, I need to solve a problem using Weka, in which for a text, i need to categories the words into three parts. A/B/C. Can you please help me in this
Don't you use a dataset? Because you need some historical data that emcompasses labeled data, then you select a classifier to work on new sets of observations that are the test data
is it possible to set the the tp rate of one class on a special rate (eg. 0,9)
Thanks for this demo
Nice tutorial. Thanks
Nice one!!
fine one. kudos
You are welcome
My pleasure
Towards an Applicability of Current Network Forensics for Cloud Networks: A SWOT Analysis -- this is my research paper... How can i use classification and clustering in cloud network attacks...plssss help me
Please show how to used Classification with PART AND J48..
thank you very much!
Hello sir , can u tell me about the breast cancer dataset in weka
Weka tutorial 03: classification
Ive learned how to classify in weka and also the diff classifier
You are welcome sir
Good job
helpfull ..thanks
Muy bueno, Thanks!!!
thx to upload this
how to train image dataset?
Thank you very much
thanks for clarification
I am unable to run the model that I load from past saved models. Eeeeh.!
tq..but konjam sound aah peaunga sir
Thanks
Thanks.
Welcome
Give me some ideas to work on it
It is not permitted. Your training and test dataset should contain same amount of features, same names and data types.
You can email me. I will try my best.
Thanks God :)
What datasets are used to measure accuracy, whether any training data or test data or the whole test data combined with the data training?
Can I ask further through ym or email?
what's your email?
good
Present sir
u failed to explain "test options" for wat i came here :(
Even not the explanations from 4:58?
yuppppp....aftr seeing dat only i m telling uhhh....d explaination was not dat much good as i expected it to be ....wanted to knw wen n on wat basis we can select those test options ....i mean how can we knw wich test options we have to select fr our data set :)
Thanks. This tutorial is like a hands-on. You need to see research papers for selecting the right method of testing. For instance, one quick solution if your dataset is small: go for k-fold CV. But all the methods have their pros and cons, which are intentionally left out from the tutorial as they are not the scope of it.
thnks for d rest part of tutorial :)
nice one explained
Thank you.
:)
_!_
sir i want to chat with u please chat
sir
I am done watching Weka Tutorial 03. I've learned how a simple classifier is applied on a data set by using the 10 fold cross-validation
excellent,, now i m prepared to write an answer of ten pages and fifteen marks
My pleasure
:)
:)
:)
:)