K-Nearest Neighbors Regressor finds the K training examples closest to the input and returns their average target value.Documentation Index
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Configuration
| Parameter | Description | Default |
|---|---|---|
| N Neighbors | Number of neighbors to consider. | 5 |
| Weights | uniform — simple average. distance — weighted by inverse distance. | uniform |
| Metric | Distance metric: minkowski, euclidean, manhattan, chebyshev | minkowski |
| P | Power for minkowski. p=1 = Manhattan, p=2 = Euclidean. | 2 |
Input / Output
| Type | |
|---|---|
| Input | X Train + Y Train |
| Output | Trained Model |