Questions tagged [j48]

J48 is an open source Java implementation of the C4.5 algorithm in the Weka data mining tool.

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Access rules from java Weka PART rules

I'm trying to access rules generated from PART rules algorithm. I understand PART in turn converts nodes from J48 decision tree. I need to access each rule separately and display the same. PART part1=new PART(); Instances instance1= new…
Harsha
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Extracting contents from decision tree J48

I have the following decision tree (created by JWEKA package - by the command J48(NSP~., data=training) ): [[1]] J48 pruned tree …
Avi
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Use significant attributes only, or use full set of attributes to build J48 model after checking information gain?

Weka's J48 allows one to check information gain on a full set of attributes, should I use those significant attributes to build my model? Or should I use the full set of attributes?
Guanhua Lee
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WEKA J48 decision tree with non linearly separable data

Does Weka J48 Decision Tree classifier support classification for a problem with intrinsically non linearly separable data? In short, is J48 either a linear or a non linear classifier?
Johan
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weka J48 feature selection

I am using Weka and applying J48 to build my classifier. I have 40 features with 2000 instances (700 class a and 1300 class b). The J48 decision tree is just using 2 features out of 40! Is there anyway to allow J48 to use all features or is there…
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Weka j48 output

I have confusion about the numbers at the end of the branches of a J48 tree. For example, using the weather.nominal data the tree looks the same, whether the Test options are set to Use training set or Cross-validation or Percentage split. This is…
onyourmark
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How to install ant package in java correctly?

jdk version: 17 I'm trying to use j48 in weka for study it, but I got two problems. First, I run the Run.java, and the complier throw a error: complier can not find java_cup package. So I follow this tutor to install java_cup package, it's…
hua
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Using WEKA Filters in Java - Oversampling and Undersampling

I'm having an issue with finding out how to use WEKA filters in the java code. I've looked up help but it seems a little dated as I'm using WEKA 3.8.5 . I'm doing 3 test. Test 1: No Filter, Test 2: weka.filters.supervised.instance.SpreadSubsample…
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make_Weka_classifier("weka/classifiers/bayes/naiveBayes") and J48 not working on my R?

I tried googling around but can't find any answer to this problem. Currently trying to use Naive Bayes on R using Weka but am getting this error and I also tried using J48 to visualize a decision tree but that's not working out either. Error in…
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Weka 3.8 - the decision tree J48 seem to have correct tree to predicate data but fail on the testing

The decision tree J48 generated a tree structure as below. J48 pruned tree petalwidth <= 0.6: Iris-setosa (50.0) petalwidth > 0.6 | petalwidth <= 1.7 | | petallength <= 4.9: Iris-versicolor (48.0/1.0) | | petallength > 4.9 | | | …
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J48 Analysis With WEKA

I want to analyze my dataset with WEKA. csv file There are 60 apk files. Permission scores are calculated(1 point for neutral, 2-3-4 points for dangerous permissions) for each apk. I would like to create a threshold for (total dangerous…
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Weka - How can I improve J48 performance?

I'm working on a data mining project when I need to be able to predict chances of success on a Kickstarter project funding. I've used a kickstarter dataset which i've found on Kaggle, and i've cleaned all the noisy data, deleted irrelevant…
Snir
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How to get classification values in RWeka?

can anybody explain how I get the results of each leave in a decision tree made by J48 from the RWeka package? So for example we have this iris dataset in R: library(RWeka) m1 <- J48(Species ~ ., data = iris) m1 In prediction I want to use the…
T. Beige
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What is the meaning of leaf node of J48 tree classifier

I am unable to understand the meaning of leaf node attribute of decision tree. I am a new machine learner and after classifying the dataset by using J48 algo.I got a tree and now I'm unable to understand which attribute's value is related with…
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Meaning of confidence factor in J48

I try to use J48 classifier from RWeka library in R (C4.5 algorithm). I can parametrize this classifier with C parameter which means 'confidence factor'. What does this value exactly mean? I know that bigger value means that I believe more my…
happysadek
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