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Questions tagged [weka]

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

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19 views

Naive bayes text analysis in weka, in production

I've created java code to train weka naive bayes on a database of text. However, I don't know how to actually use the model for new text. My training instances have the attributes "id", "text", "...
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8 views

Does one hot encoding in svm for nominal training set gets done by the weka package and package or library particular for svm by itself?

While using svm in java (weka) with nominal input set, does the inbuilt algorithm itself does the one-hot encoding or is it required by the user to do so?
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11 views

How to solve a tie in one-r?

when using the one r algorithm with this data a triple tie happens, age group = 10/12, fresh fruit = 10/12 and id = 10/12 why does weka choose age group? Age group: Senior -> Anchovy ...
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1answer
35 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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2answers
24 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
71 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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0answers
24 views

How to discretize numerice values with predfined ranges in weka?

I'v imported csv file into weka. one of the features have a value with minimum 0 and maximum 160. now, i want to discretize value into three range as you can see below: less than 6 > L more than 6 ...
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0answers
63 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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36 views

ML: Multiple variable output values [closed]

Is it possible that in ML given an input there can be multiple vaiable number of output values predicted? ...
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1answer
28 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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1answer
22 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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1answer
180 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
175 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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1answer
312 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
227 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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0answers
52 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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0answers
36 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
84 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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0answers
25 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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1answer
632 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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1answer
152 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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1answer
45 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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1answer
132 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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1answer
448 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
248 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
356 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
301 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
3k 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
41 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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1answer
2k 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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1answer
1k 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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1answer
35 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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2answers
2k 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 ...
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0answers
30 views

How to use a predfined separate prune set in Weka (alternatives in R or Python also acceptable)

I recently ran into a problem that seems to have considerate local effects, in space and time in fact: Two objects that are close are likely yo be in a similar state (if they are in the same year). I'...
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1answer
462 views

What does the “numDecimalPlaces” in J48 classifier do in WEKA?

Can anyone explain the purpose of "numDecimalPlaces" parameter in J48 WEKA classifier ? Its default value is 2 and its description is given as follows: The number of decimal places to be used for ...
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0answers
305 views

Weka Decision Tree not working on real data

I'm trying to make human activity recognition using the iOS accelerometer and gyroscope. The feature that I use are mean, variance, standard deviation, energy and cross-domain entropy. If I provide ...
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2answers
350 views

Weka alternative - visual data exploration with a very large dataset

I love Weka for its visual data exploration features (it's great at quickly giving you a mile-high aerial view of the distributions of all your variables). I have a 0.5gb dataset, and Weka is unable ...
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1answer
484 views

How to create visualisation on medical data?

I want to create a data visualization on medical data i.e. patient's medical history, allergies one is having, any chronic patient's name must be highlighted, etc. And, there can be a separate ...
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0answers
264 views

Numerical data and different algorithms

I was hoping to get some help on a task I have been given. I have a data set with the chemical breakdown of a drink. My job is to find some sort of analysis with the given data. The data has 10 ...
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1answer
583 views

Making fake result in data mining using weka j48 algorithm

I have 130 records in one CSV dataset and I'm using j48 decision tree. I used the whole training set for testing, and the result was 79 correctly classified and 51 incorrectly classified records. Now! ...
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1answer
2k views

ZeroR Classifier

I've got a program that analyses some data based on a bunch of values then spits out a true/false value if it was correct or not. I'm using the Weka software to graph this all up and I just want to ...
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1answer
3k views

Sentiment Analysis algorithm in Weka

I have an assignment, i have to collect movie reviews and classify them with poz neg notr tags, and turn them info arff files. I did all of this stuff with regex etc. But for experiment i have to ...
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1answer
203 views

Attribute discretization

I have a dataset where I need to explore using unsupervised technics (clustering and association rules). What are the best strategies to discretize the numeric attributes? Also, does this (attribute ...
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1answer
2k views

In Weka, how to draw learning curve evaluated on both test and training set?

This is just for finding overfitting gap. After initial research, I can only find method to draw learning curve using evaluation of test set. However, I could not evaluate on training set and over ...