| boundary_explore_nd | R Documentation |
Generates a high-dimensional uniform domain and identifies points near the decision boundaries of multiple models.
boundary_explore_nd(models, data, n_points = 10000, threshold = 0.05)
models |
A named list of fitted |
data |
A data frame representing the original training data. The bounding box of this data determines the simulation domain. |
n_points |
Integer. Number of points to simulate in the high-dimensional space (default: 10000). |
threshold |
Numeric. A percentile threshold (0 to 1) for determining boundary proximity. Points below this advantage percentile are considered boundary-near. Default: 0.05. |
A data frame containing the simulated coordinates, the predicted classes for each model (prefixed with Y_), and a logical is_boundary column indicating if the point is near the boundary for ANY of the provided models.
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