Questions tagged [weka]

WEKA is a GUI based data mining suite written in Java, developed at the University of Waikato

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14 views

WEKA Multilayer Perceptron result is showing prediction probability instead of Prediction Value using classifyInstance

I need to print the prediction value of the trained and tested data set.I am using MultiplayerPerceptron method of WEKA in java.I need to find the predicted value . Below is the code where i am using ...
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58 views

What can weka do that python and sklearn can't?

I would like to build a variety of classification and regression decision trees. My use case focuses on extraction and communication of decision rules. Previously weka was used in my organisation for ...
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17 views

How to interpret PCA rankings in Weka

I am struggling to understand what the rankings in Weka are representing. I.e. the coefficients for each attribute in the rank. What is the output in the Weka program for PCA telling me with these ...
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11 views

Which values should i use as data for this Weka problem?

I have a problem that has to be translated into an ARFF file. We have a robot that has to reach X without going to the black squares. It can go up, down, left, right, or stay to its position. These ...
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18 views

Analysis of Alternating Decision Tree on Weka

I am applying the AD Tree algorithm & this is the tree visualization of the output: I can't understand the values in the decision nodes (-0.4,0.541,-0.882...), How are these calculated? & how ...
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27 views

Plotting incremental feature selection curve in WEKA

I have learned that, there are three methods for feature selection in machine learning Filter method Wrapper method Embedded method I want to plot incremental feature selection curve in WEKA ...
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1answer
22 views

WEKA Random Forest and numerical attributes

I am working with Random Forests in Weka. I thought the ID3 algorithm is used to find the best split attribute at each level. But after reading a bit I noticed that ID3 can not handle numerical ...
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39 views

Increasing minNumObj increasing accuracy in decision tree

I have been using a J48 classifier in weka and have noticed that increasing minNumObj -- The minimum number of instances per leaf leads to a small accuracy increase. ...
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12 views

LibLinear Parameter optimization

I want to use LibLinear to learn a model from 500,000 training samples (equally distributed over 8 classes) and test on 1,300,000 samples. The data set contains around 60 standardized features. In ...
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52 views

Weka: Implementation of Random Forest

I am wondering how random forests are exactly implemented in Weka. This paper is very specific about RFs in Weka, but the description of its learning process in chapter 2 seems strange to me. They say:...
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82 views

How do I get the values of y_true and y_pred in the confusion matrix?

I am using the weka program and i want to know the values of y_true and y_pred through confusion matrix that appeared in the classification results , because I want to calculate the balanced ...
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190 views

Where are WEKA installed packages stored

I would like to use the WEKA library in a Java program but I can't seem to find the methods I installed using WEKA's package manager. Does anyone know where the installed methods are stored? For ...
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42 views

What is the effect of changing the seed value on the classification results?

I used weka program to make a classification, first I used a dataset using the explorer and the seed value was equal to one, then I used the experimenter for the same dataset and the seed value was ...
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321 views

what does random seed value mean in weka?

I use weka to make a dataset classification but there is an option in classifier evaluation ( random seed for XVAL/% split). What does this option mean? ,and what is the seed value ? ,and What is the ...
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14 views

Weka Character Level CNN

I am wanting to use a character level CNN to classify a heap of documents based on the century which they are from. I am having difficulties finding any resources on how to do character level ...
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1answer
186 views

opening Weka from command line

I'm very new to computer coding and data science in general. I'm trying to open Weka and use it on a practice csv data set called weather.arff. The manual I have says to type this into command line: ...
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29 views

Class balancing in Weka

Hi I am using software fault prediction datasets, which has class values Yes (faulty) and No (non faulty). I have to do class balancing at ratio of 20-80% (faulty=20, non faulty=80). So for that,do I ...
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92 views

Parameters optimization algorithms in Weka

In Weka, I used the Grid and Random search parameters tuning algorithms but unfortunately, their performance (in terms of better prediction accuracy) is observed worst when we use the ML algorithms (...
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37 views

What is the best option to test the data set of images using weka?

I have two hundred and fifty images, and extracted the features from them and put them in an Excel file, how to use the weka program so that the first 200 images for training and the remaining fifty ...
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1answer
81 views

Repeated training and testing in Weka?

I am using one file for training (e.g train.arff) and another for testing (e.g test.atff) with the 70-30 ratio in Weka. I want to ask how can I use the repeated training/testing in Weka when I have ...
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2answers
60 views

SMOTE on training data

The SMOTE could only be performed on the training data, so how can we do it using Weka? It means we have to put the training and test data in two separate files and run the SMOTE on the training file, ...
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282 views

What does Make Density Based Clusterer in Weka do?

In Weka, there is a clustering algorithm with the name as Make Density Based Clusterer. When going through its properties, it takes a clusterer as base clusterer(I took it as K-means with k=3). It ...
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117 views

Multivariate analysis

Can we use weka for multivariate data analysis? When we have more than one variable as the dependent variable... ( without using factor analysis to reduce the number of variables associated with the ...
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1answer
411 views

WEKA Random Forest J48 Attribute Importance

I have been using WEKA to classify very long duration audio recordings. The best performing classifiers have been Random Forest and J48. The attributes used to classify the audio are acoustic indices. ...
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43 views

How to discretize a numerival value with predefined ranges in Weka?

I have imported a csv file into Weka. One of the features has a value with minimum 0 and maximum 160. Now, I want to discretise that value into three ranges as you can see below: Less than 6 > L ...
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207 views

Remove attributes with missing values exceeding a given threshold in WEKA

I imported csv file into WEKA, i have features that have missing value that has missing value percentage of 70% or above, i want to remove these features by weka or also sort that features by missing ...
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57 views

Change values from nominal to numeric

I want to change the values of the class labels from nominal into numeric. e.g if the values of a class are {iris-setosa,iris-virginica,iris-versicolor} i want to make them {0,1,2} so the instances ...
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33 views

Attribute selection from dataset

I work on a dataset with numeric values.The class labels has also numeric values.I made the 6 numeric class labels into one witch contain values like e.g happy_pleased. I want to insert the new .arff ...
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423 views

How to use SMOTE in Java Weka API?

I am trying to build classification model using Java Weka API. My training dataset have class imbalance problems. For this reason, I want to use SMOTE to reduce class imbalance problem. But, I do not ...
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2answers
328 views

How do I use a custom stopwords filter in the Java Weka API?

I am using the Java Weka API to build a classification model. I can use the builtin stopwords filter. However, I need to use a custom filter for my problem. I do not know how to use a custom stopwords ...
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867 views

How do i calculate prediction probability of a class in Java Weka Api?

I am developing a prediction model using Java Weka api. I can predict class for the new instance using the following code: ...
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1answer
703 views

Setting attribute weights in Weka

I'm working on feature weighting techniques (chi-square, relief..) for classification tasks using Weka. Can I add these weights to the dataset's attributes? If yes, how? Do the classification ...
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118 views

Can not run Auto WEKA [closed]

I have downloaded Auto WEKA into my computer and installed Java Runtime Environment and I have WIndows 10 I am trying to run the Auto WEKA by double clicking on ...
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62 views

Color name prediction

Given data: R G B Color 0 0 0 Black 255 255 255 White 255 0 0 Red 0 255 0 Lime 0 0 255 Blue 255 255 0 Yellow 0 255 255 Cyan_Aqua ... ...
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1answer
86 views

Implementation of a distributed data mining paper

I have a project about distributed data mining and I need to do some implementations, So I've searched and found this paper. The address of dataset is mentioned in the paper and I've downloaded it. ...
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30 views

Processed data cannot build Naive Bayes Classifier model

Having preprocessed data using weka supervised cfssubseteval forward and backward selection, the decision tree model builds and makes prediction well, but naive Bayes do not recognize the same Arff ...
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1k views

WEKA Multilayer Perceptron with large dataset [closed]

I'm new to data mining using WEKA. I was trying out datasets with a large dataset (2000+ attributes with 90 instances) and left the default parameters as it is. Why is Multilayer Perceptron running ...
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249 views

Is there t-SNE in WEKA?

I want to use t-SNE in WEKA just for visualization purposes. I tried to look at the package manager but could not find any implementation of it. Is there anything that I can do to achieve it?
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63 views

How do I simultaneously select multiple values for k-means in WEKA?

I have tried WEKA's Experimenter. However, it's for classification. I'm looking for a way to apply the k-means algorithm on the same dataset but with multiple 'k' values. Is there any option in WEKA'...
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365 views

How can I transpose a high dimensional dataset?

I have a (.csv) file with more than 35,000 rows and 100 columns, where the rows represent the attributes and columns represent the instances. In Excel the maximum number of columns is 16,384. ...
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788 views

SVM with polynomial kernel: strange results with high degree?

Currently I'm working in WEKA, using the SMO classifier (an implementation of SVM). For an assignment I am requested to use a polynomial kernel, and report the results for degrees varying from 1 up to ...
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1answer
396 views

different results with MEKA vs Scikit-learn!

I have a multilabel data which I've trained using different classifiers with MEKA (multilabel version of WEKA) and the evaluation results (e.g. accuracy) that MEKA gives me are different from those I ...
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1answer
1k views

RMSE in Weka Time Series Forecasting

I am using Weka Time Series Forecasting to forecast the trend of the topic NLP in 2018. For that I used ...
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1answer
514 views

How does the seed value work in Weka for clustering?

I have recently been learning about the various clustering methods, and I decided to apply Furthest Point clustering in Weka with varying seed values. The seed value dictates the initial choice of ...
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2answers
5k views

Converting a nominal attributes to numerical ones in data set

I'm using the NSL-KDD data set which contains nominal and numerical values, and I want to convert all the nominal values to numerical ones. I tried the get_dummies ...
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1answer
43 views

How to create more dimensions for data mining?

I want to analyze product sales data with WEKA. My data have attributes: sell quantity and sales price. I want to add more attributes, such as mean and standard deviation. What formula I should use ...
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3k views

is there any way to plot ROC curves from weka

i am using some algorithms from weka . i was willing to plot some algorithms' roc curve for comparison . Is it possible and how ?
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2k views

Simple Weka classification example in Java gives inconsistent answers

I have the following simple weka code to use a simple decision tree, train it, and then make predictions. ...
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40 views

How to reload all attributes in WEKA

Is there a way to reload all attributes after having removed someones without reopening the data file ? Any help please ?
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4k views

Which feature selection I should trust?

I use Python and Weka to run feature selection on my dataset (91 predictor variables). I can see a huge difference (feature ranking) from different algorithms. And these results are still quite ...