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Table 3 Best hyperparameters for Random Forest along with its hyperparameter grid

From: Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing

Random forest

Hyperparameter

Best value

Hyperparameter grid

Number of estimators

1600

200, 400, 600, 800, 1000, 1200, 1400, 1600, 1800, 2000

Minimum samples split

5

2, 5, 10

Max features

sqrt

sqrt, log2

Max depth

100

10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110

Bootstrap

True

True, false

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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