This workflow reads in HCC.csv file and trains random forest, K-nearest and decision tree to classify patient that survive the diagnosed liver cancer. The results shows random forest excels in both accuracy as 0.75 and number of false positive predictions as 0.35.
Workflow
HCC_Survival.knwf
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.0
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