Table 2.

Comparison of accuracy in pneumoconiosis diagnosis with different algorithms

Machine learning classifiers	Accuracy (%)
OC-SVM-RBF with raw CXR	73.17
Isolation Forest with raw CXR	68.29
Autoencoder and feed-forward NN with raw CXR	68.29
MLP	71.77
SVM-RBF with raw CXR	68.29
Autoencoder and SVM-RBF with raw CXR	73.17
NN	83.00
Linear- SVM	74.80
KNN	69.30
Ridge Classifier	76.90
Random Forest	70.80
Res-Net (Our method)	92.46