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Paper - Hogeschool Gent

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Bijlage D<br />

Afkortingen<br />

AUC − area under the curve<br />

BNB − binomial naive bayes<br />

CF − collection frequency<br />

DF − document frequency<br />

F1 − F1 measure<br />

FN − false negative<br />

FP − false positive<br />

FPR − false positive rate<br />

IDF − inverse document frequency<br />

MI − mutual information<br />

MNB − multinomial naieve bayes<br />

NoF- − number of negative features<br />

NoF+ − number of positive features<br />

P − precision<br />

R − recall<br />

ROC − receiver operator characteristic<br />

sf − stopwoordfiltering<br />

st − stemming<br />

SVM − support vector machine<br />

TF − term frequency<br />

TN − true negative<br />

TP − true positive<br />

TPR − true positive rate<br />

TrS+ − number of positive training documents<br />

TrS- − number of negative training documents<br />

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