Research Article

One-Class Classification with Extreme Learning Machine

Table 4

The value of precision and recall for two datasets (arrhythmia and E. coli).

DatasetArrhythmiaE. coli
ClassifierPrecisionRecallPrecisionRecall

Naive Parzen45.696.063.786.2
Parzen52.082.471.580.6
-means52.581.052.464.6
1-NN44.588.612.190.2
-NN47.890.231.987.3
Autoencoder52.684.747.373.5
PCA79.115.923.274.4
MST47.391.823.990.0
-centers50.483.429.368.9
SVDD55.769.348.866.9
MPM64.043.938.445.4
LPDD51.783.367.875.4
SVM52.480.557.865.8
ELM52.880.183.272.3