Table 2.

Baseline results for cancer detection, using a Fully Connected Neural Network (the classification architecture, without the AE as top layers)

	Accuracy (%)	MCC	Precision (%)	Recall (%)	F1 score
Thyroid	80.00 ±10.92	0.23 ±0.13	55.42 ±32.18	26.07 ±27.31	26.04 ±16.31
Skin	84.67 ±4.95	0.46 ±0.12	62.08 ±20.86	54.15 ±20.82	51.15 ±14.76
Stomach	81.33 ±11.47	0.27 ±0.18	56.66 ±32.34	33.85 ±27.06	30.94 ±17.66
Breast	85.60 ±2.07	0.34 ±0.16	80.95 ±21.33	25.60 ±17.51	33.99 ±19.01
Lung	77.13 ±12.59	0.21 ±0.18	39.90 ±37.04	33.73 ±35.76	25.25 ±22.47

All the presented results are the 10-fold cross-validation mean values, at the validation set, by selecting the best performing model according to its F₁ score