How to evaluate Knn regression model?
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| Papers (7) | Insight |
|---|---|
18 Dec 2009 52 Citations | The performance of the KNN can be improved extensively by employing appropriate selection algorithm. |
09 Apr 2018 17 Citations | We demonstrate, that the presented expected accuracy measures can be a good estimator for kNN performance, and the proposed adaptive kNN classifier outperforms common kNN and previously introduced adaptive kNN algorithms. |
1K Citations | The experimental results show that the kNN based model compares well with C5.0 and kNN in terms of classification accuracy, but is more efficient than the standard kNN. |
| Accuracy of the well-known kNN classifier depends significantly on the suitable choice of k. In this paper, we propose an improved kNN algorithm with a novel non-parametric test point specific k estimation strategy. | |
03 Nov 2013 38 Citations | The experimental results show that the proposed approach provides enhanced forecasting accuracy than the referred univariate kNN regression. |
09 Dec 2008 | Results show that our KNN algorithm outperforms other KNN algorithms, including basic evidence based KNN. |
| Experiments show the excellent improvement in accuracy in comparison with KNN method. |
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