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Results tagged with weka
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user 36381
Weka (Waikato Environment for Knowledge Analysis) is a collection of machine learning algorithms for data mining tasks.
1
vote
Summary on correctly classfied instances WEKA for a 10-fold cross-validation
Cross validation 'runs several times' but it only predicts each case one time.
In your example of 10-fold cross-validation on 160 cases, each of the 10 runs (folds) leaves out 10% of the cases (lets …
- 4,169
4
votes
Accepted
How to find TP,TN, FP and FN values from 8x8 Confusion Matrix
True Positive, True Negative, False Positive, and False Negative are defined for binary classification problems (in which one outcome is defined as "positive" and the other "negative").
So to use t …
- 4,169
1
vote
how to add instances data into test arff file with the same attribute and relation with trai...
If you use R, you can read the training and testing sets into a single data.frame, and then rewrite the training and testing arff files from the single data.frame. Since the data.frame stores the pos …
- 4,169
4
votes
Accepted
Interpretation of a WEKA result buffer - confusion matrix and performance
TP | FN
FP | TN
I do not like how Weka labels the columns. TP Rate (for example) is based on that row being the positive. So the second entry under TP Rate (0.626) is actually the TN Rate. …
- 4,169