Description Usage Arguments Value
Decision Forest algorithm: feature selection for two-class predictions, kept statistical significant features pass the t-test
1 | DF_dataFs(X, Y, p_val = 0.05)
|
X |
Training Dataset |
Y |
Training Labels |
p_val |
Correlation Coefficient threshold to filter out high correlated features; default is 0.95 |
Keep_feat: qualified features in data matrix after filtering
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