| Issue | #Downvotes for this reason | By |
|---|
| sklearn.neighbors._regression.KNeighborsRegressor(1) | Regression based on k-nearest neighbors. The target is predicted by local interpolation of the targets associated of the nearest neighbors in the training set. |
| sklearn.neighbors._regression.KNeighborsRegressor(1)_algorithm | "auto" |
| sklearn.neighbors._regression.KNeighborsRegressor(1)_leaf_size | 30 |
| `, in which case only "nonzero" elements may be considered neighbors">sklearn.neighbors._regression.KNeighborsRegressor(1)_metric | "minkowski" |
| sklearn.neighbors._regression.KNeighborsRegressor(1)_metric_params | null |
| sklearn.neighbors._regression.KNeighborsRegressor(1)_n_jobs | null |
| sklearn.neighbors._regression.KNeighborsRegressor(1)_n_neighbors | 70 |
| sklearn.neighbors._regression.KNeighborsRegressor(1)_p | 2 |
| sklearn.neighbors._regression.KNeighborsRegressor(1)_weights | "uniform" |
5.0945 ± 0.6852 Cross-validation details (10-fold Crossvalidation)
|
6.8603 ± 0.7267 Cross-validation details (10-fold Crossvalidation)
|
252 Cross-validation details (10-fold Crossvalidation) |
0.7426 ± 0.0776 Cross-validation details (10-fold Crossvalidation)
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8.3521 ± 0.9478 Cross-validation details (10-fold Crossvalidation)
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6.2455 ± 0.8252 Cross-validation details (10-fold Crossvalidation)
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0.7478 ± 0.0576 Cross-validation details (10-fold Crossvalidation)
|