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Questions tagged [weka]

Weka (Waikato Environment for Knowledge Analysis) is a collection of machine learning algorithms for data mining tasks.

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41
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1answer
50k views

How to interpret error measures?

I am running the classify in Weka for a certain dataset and I've noticed that if I'm trying to predict a nominal value the output specifically shows the correctly and incorrectly predicted values. ...
10
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4answers
4k views

Classifier for uncertain class labels

Let's say I have a set of instances with class labels associated. It does not matter how these instances were labelled, but how certain their class membership is. Each instancs belongs to exactly one ...
3
votes
1answer
1k views

Obtaining R pec survival patient risk percentage

Introduction I have a 300,000-row cancer dataset with around 60 variables (cancer stage, year of diagnosis, radiation therapy, histology, etc.) with a time variable ("number of months survived") and ...
0
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2answers
5k views

How to use test set data if model has been built using a training set transformed with PCA? [duplicate]

If I have a train set (train.arff, 10 attributes) I perform a PCA and I save my data with respect to the new transformed variables (say I choose the two first attributes, combination of the original ...
4
votes
1answer
2k views

Unbalanced dataset - ROC curve to compare classifiers?

I use the machine learning software WEKA for data mining on biological data. I would describe my dataset as unbalanced: It comprises around 2000 instances, ...
2
votes
2answers
4k views

What are good criteria for performance evaluation of algorithms in a regression problem?

I'm classifying different algorithms on the wine quality dataset. The quality ranges from between 0 - 10 based on 11 other attributes. Here is the data. I'm treating this as a regression problem. ...
1
vote
1answer
2k views

Accuracy reduced with Adaboost

I tried using AdaBoost for my classification which is for emotion classification. Without boosting, Random Forest algorithm gave me 42.41% of accuracy. But when I applied AdaBoost along with Random ...