Questions tagged [weka]
WEKA is a GUI based data mining suite written in Java, developed at the University of Waikato
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Various algorithms performance in a problem and what can be deduced about data and problem?
HI I am currently trying to apply various algorithms to a classification problem to assess which could be better and then try to fine tune the bests of the first approach. I am a beginner so I use ...
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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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Method of finding threshold in Decision tree for continuous data
I am using decision tree in Weka and I have some continuous data, so when I use Weka it automatically find the threshold for me but for some reason I want to implement Decision Tree by myself so I ...
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Text classification with Weka (unlimited dependent variable values)
In our dataset we have 2 attributes, citizen and nric. The rule is if citizen is US, then the result should be the nric value, otherwise Non-US.
Could you please suggest which algorithm in Weka I ...
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348
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Is my model overfitting? Weka Random Forest
I have the following result from weka. As I observed the result I have noticed the ROC area is above 90 and the correctly classified instances is 85% Is this a sign of overfitting?
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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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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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342
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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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617
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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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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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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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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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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 ...
- 141
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288
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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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Weka "Cannot handle unary class" error when generating predictions from command line
I'm trying to automate a train/evaluate workflow from a Python script, so I need to be able to run Weka from the command line. I'm able to train my model successfully using this:
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Is my model difference between Training accuracy and cross validation accuracy considered as overfit?
So I used weka to determine my training accuracy and cross-validation accuracy. It has showed me that my training accuracy is 84.9167 % and my Cross validation accuracy is 83.9167 %
I also tried to ...
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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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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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