Research Article
Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations
Table 4
Precision, recall, and
-measure for the best predictive model using “
Gene,” “
gMutation,” and “
Chromosome” on each primary tumor site.
| Primary tumor site | Precision | Recall | -measure |
| Large intestine | 0.88 | 0.85 | 0.87 | Liver | 0.88 | 0.72 | 0.79 | Skin | 0.91 | 0.61 | 0.73 | Pancreas | 0.75 | 0.67 | 0.71 | Lung | 0.66 | 0.75 | 0.70 | Endometrium | 0.91 | 0.52 | 0.67 | Kidney | 0.72 | 0.62 | 0.66 | Haematopoietic and lymphoid tissue | 0.50 | 0.75 | 0.60 | Breast | 0.50 | 0.75 | 0.60 | Central nervous system | 0.63 | 0.51 | 0.56 | Ovary | 0.40 | 0.49 | 0.44 | Prostate | 0.46 | 0.35 | 0.40 | Autonomic ganglia | 0.45 | 0.28 | 0.34 | Oesophagus | 0.81 | 0.20 | 0.31 | Urinary tract | 0.83 | 0.09 | 0.16 | Upper aerodigestive tract | 1.00 | 0.05 | 0.10 | Stomach | 0.60 | 0.05 | 0.09 |
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