Table 2.
Model 1 | Model 2 | Model 3 | |
---|---|---|---|
Classification algorithm | NB | NN | SVM |
Performance training | 0.895 | 0.995 | 0.924 |
Performance cross validation | 0.897 | 0.869 | 0.916 |
Average of the two performances | 0.896 | 0.932 | 0.920 |
Types of attributes used | Albumin, ALP, ECOG status 0-1, platelets <140×109 L, number of metastatic sites | Albumin, ALT, absolute neutrophil count, ECOG status 0-1, number of metastatic sites | Albumin, ECOG status 0-1, liver metastatic site, lung metastatic site, platelets >440×109 L, RBC, WBC |
ALP, alkaline phosphatase; ALT, alanine aminotransferase; ECOG, Eastern Cooperative Oncology Group; RBC, red blood cell count; WBC, white blood cell count.