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Model description
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Intended uses & limitations
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Training Procedure
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Hyperparameters
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Hyperparameter | Value |
---|---|
algorithm | auto |
leaf_size | 30 |
metric | manhattan |
metric_params | |
n_jobs | |
n_neighbors | 10 |
p | 2 |
weights | distance |
Model Plot
KNeighborsRegressor(metric='manhattan', n_neighbors=10, weights='distance')In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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KNeighborsRegressor(metric='manhattan', n_neighbors=10, weights='distance')
Evaluation Results
Metric | Value |
---|---|
accuracy | 0.717 |
r squared | 0.717 |
How to Get Started with the Model
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Citation
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model_description
This is a K-Nearest Neighbour Regressor trained to identify inventory-delay time.
limitations
This model is trained for educational purposes.
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