The weka tag has no wiki summary.
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32 views
Model selection in weka based on error measures
I would like to select a good model using WEKA for my 48 points data set. Each point is a 4-tuple -- one response and three input variables (all are numeric values). I have identified that the three ...
0
votes
1answer
48 views
Converting J48 to if-then rules in Weka
I have a J48 decision tree model trained with WEKA. I would like to access the rules of the tree in J48 so that I can somehow use them in my code whether with if-else statements or as a decision table ...
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2answers
116 views
What is class correlation?
I am referring to iris.arff dataset that comes with Weka distribution. There are 3 classes and 4 attributes. It gives below information regarding the 4 attributes-
...
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0answers
22 views
Is it possible to convert 'ow'l to 'arff' file format [closed]
Is there are some way to convert owl(file format) to arff(file format).
The owl file has classes and ...
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0answers
18 views
arff @attribute with few values [closed]
I have some object :
//abstract representing
Obj
{
int prop;
List<int> list;//each obj has various list length
}
how to convert ...
0
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0answers
12 views
Java, Weka: How to predict numeric attribute? [migrated]
I was trying to use NaiveBayesUpdateable classifier from Weka. My data contains both nominal and numeric attributes:
...
0
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0answers
42 views
Energy estimation through machine learning
Greedings to everybody.
I have the dataset which you can find here, containing many different characteristics of different houses, including their types of heating, or the number of adults and ...
0
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0answers
50 views
Cluster Analysis - Assign Data to Cluster
I am new to cluster analysis and doing it for first time. I have created the 6 clusters by using Weka tools like this (for 4 attributes):
...
1
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0answers
69 views
Evaluation of LMT (Logistic Model Tree) classifier results
I have been using the LMT Logistic Model Trees algorithm in some classification experiments.
However, after reading the reference/documentation regarding the algorithm (Niels Landwehr, Mark Hall, ...
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votes
1answer
73 views
way to determine best number of clusters weka
When using weka library for clustering ,Is there any way to find best number of clusters.
The EM methods are defined but how to use these methods in java code.
Please suggest
1
vote
2answers
116 views
Excluding false values with association rule mining in Weka
I am using Weka 3.6 to do Association Rule mining. In our data set, each transaction is a word, and each letter in the word is an item. The rules that we are mining would be in the format of ...
2
votes
1answer
123 views
Using the appropriate machine learning algorithm
I am not sure if this is the right forum to ask this.
I have some data of the houses, like their size(in square meters), if they use aircondition, how many residents live in, I have their electricity ...
0
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0answers
94 views
Interpreting Results of InfoGain Attribute Evaluator in WEKA
I have run the InfoGain+Ranker algorithms in the Feature selection tab of the Weka in order to determine the significance of each individual variable that contributed to classification results. This ...
0
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1answer
91 views
It is possible to implement a regression algorithm using Random Forests?
I have to write code to implement regression using random forests (by default Weka provides random forests for classification). Is this possible to do?
-1
votes
1answer
180 views
Weighted average of precision (or recall) of all classes?
How to compute the global precision given the precision calculated for each class? Is it just the average over classes precisions? When I use Weka the global precision is not computed as the average ...
3
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0answers
358 views
Weka J48 decision tree problem
I have a CSV dataset which contains mean (Numeric), spread (Numeric), review (string), ...
0
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0answers
35 views
How to discretize training and test files to not encounter inconsistency in data?
I have a problem in discretizing my data. My data comprises of two parts: training data and test data. I discretized training data using some parameters of equal-width binning and used the same ...
1
vote
2answers
103 views
Predictive Modeling question on Weka
I would like to predict the number of flu cases in the future using predictive modeling. I am very new to statistics, so I'm not sure which classifier to use in this case.
For the attributes, I'm ...
0
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0answers
77 views
What is Generalization errror on training set. How can I see it on weka?
I get output like this ..
...
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0answers
98 views
Any out source outlier (anomaly) detection package for Weka?
There is KDD'98 cup data waiting for me to run some anomaly detection algorithms but Weka does not include any of them, natively. Is there any 3rd part package that can be integrated to weka?
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0answers
109 views
Decision tree of CSV file is different from that of the ARFF file
I use Weka 3.6.7 for a classifying problem. I always convert my dataset into CSV format and then use the Java class csvLoader (provided by Weka) to convert it to ...
0
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1answer
83 views
Merge text collection subsamples for cross-validation
I'm doing a research and to test our methods we're using 5-fold cross-validation. Our collections consist of some pre-classified text. To use the data in Weka, I'm pre-processing it with the ...
1
vote
1answer
105 views
kMeans - acceptable value for WCSS
Which value for the within-cluster sum of squares points can be accepted regarding a data set of 1000 tuples, 21 attributes (but only 3 are used now)?
I have used Euclidean distance is used, and a ...
0
votes
2answers
183 views
WEKA vs RDS (Rule Discovery System)
Between the two data mining software, which is easier to use: WEKA or RDS (Rule Discovery System)?
What are the pros and cons of both software?
0
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0answers
203 views
confusion matrix and weka library- Spell checker
I'm trying to write a complex spell checker for proper name. I must implement this as machine learning...
I thought that the best solution should be use bayes classifier which are implemented into ...
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0answers
223 views
WEKA multiclass loading
I'm still new to using WEKA, and my professor has me doing some sample problems before starting me on an undergrad research project. Having completed several binary models on various topics and ...
1
vote
1answer
677 views
Weka: how do I score an arff file using a NaiveBayes model?
I trained a model with
java -Xmx6g -cp /usr/share/java/weka.jar weka.classifiers.bayes.NaiveBayes -t train.arff -d foo.nb
and I want to score a test file with ...
2
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2answers
186 views
Is it possible to build a more “controllable” decision tree like below?
I have 2 real and 1 discrete input variable whereas the output variable takes either of the 2 nominal values (i.e. 2 class problem). First I used Weka to train C 4.5 decision tree in a 10-fold cross ...
3
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1answer
461 views
How to decide which decision tree classifier to use?
I am confused about which decision tree algorithm in weka to use for my application. I have 5 real input variables and 2 classes. In various online tutorials J48 (C 4.5) seems to be the algorithm of ...
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0answers
325 views
Combine MultiClassClassifier and MetaCost in WEKA and make cost matrices for each binary classifier
Ok, I have a classification problem in which i need to classify instances into one of 5 classes.
The class distribution of the classes is imbalanced however. These are the frequencies of instances ...
5
votes
2answers
310 views
Is cross-validation an effective approach for feature/model selection for microarray data?
I've been working with WEKA to build class predictors using this (rather old..) breast cancer dataset. The dataset is divided into a training and a test set. I've been testing different learning ...
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0answers
605 views
How to combine WEKA classifiers
I need to utilize two different classifier to get best classification results. Since, it seems that they complement each other (not sure I am not expert btw). ROC characteristics are given below ...
1
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0answers
308 views
One class classification with LIBSVM in Weka
I have a dataset on a particular domain and I want to do a one-class classification with LIBSVM (wrapper) in Weka. I have trained the classifier, but the problem is, when I test it with a different ...
2
votes
2answers
329 views
Methods for comparing clustering results
I am doing an unsupervised clustering analysis for a genomics project. This means that I do not know when a particular clustering analysis is good or not.
I am running different clustering algorithms ...
0
votes
1answer
221 views
Why doesn't classifier accuracy increase linearly with k in k-fold validation?
I am experimenting with WEKA and I'm trying to understand the impact of k in cross-fold validation. It seems reasonable to me that the higher k is, the more accurate the classifier will be (with ...
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3answers
818 views
Data mining classification competition
I'm currently taking a data mining class, and for one our projects we're required to predict the class label for an unknown data set by first building a classifier on a training data set which already ...
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2answers
446 views
Does Weka have an online API?
I am doing a project with Weka with clustering algorithms (simple k-means, expectation-maximization and OPTICS). I would love to be able to call those algorithms over the internet.
So does Weka has ...
1
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1answer
308 views
Automating tree-based classification by using different subset of attributes
First of all, I am very new to this subject. I have been using weka some days to familiarize myself and reading about data mining to understand it.
I have a dataset (from UCI, german credit data) and ...
2
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0answers
296 views
Ripper algorithm on large data sets
I've got a supervised learning problem where I've got about 15 features, mostly numeric, and I'm mapping these to a set of 5-7classes. Using decision trees or forests, I'm able to get confusion ...
2
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0answers
443 views
Model selection in Weka through cross validation for regression problems
Does anyone know an approach to performing model selection in Weka through cross validation for regression problems?
As far as I can tell, the cross validation is implemented in Weka just to assess ...
4
votes
1answer
274 views
Interpretation of a one cluster solution using the EM cluster algorithm
I'm trying to use the EM cluster algorithm, provided by the software Weka, to classify my data and it only finds one cluster.
Could I interpret this as there are no ways to distinguish the ...
3
votes
1answer
280 views
Minimum number of instances to create a decision tree
I'm kind of new doing data mining, so sorry if my question is not very clear.
I'm working in a project that is aiming to do data mining over the interactions of the students with a e-learning ...
4
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2answers
548 views
Interactive decision trees
I was wondering if there is a free tool to build a decision tree in interactive fashion like in SAS Enterprise Mining. I'm used to work with Weka. But nothing fits to my needs. I would like that ...
2
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0answers
142 views
What should I do to compare different sets of data?
I am a beginner in statistics, and I want to learn machine learning :). Therefore, I have gathered some sample data to practice. But, the problem is I want to create a feature (or attribute), which is ...
