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@@ -224,14 +224,7 @@ This approach achieved adequate accuracy scores, above 82% in all implementation
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  |NormalPredictor| 0.8269 | 0.8545 | 0.8392 | 0.8712 |
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  |BaselineOnly | 0.7115 | 0.7794 | 0.7255 | 0.8485 |
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  |KNNBasic | 0.8654 | 0.9083 | 0.8486 | 0.9773 |
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- |KNNWithMeans | 0.8846 | 0.9139 | 0.9056 | 0.9318 |
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- |KNNWithZScore | 0.8846 | 0.9139 | 0.9056 | 0.9318 |
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- |KNNBaseline | 0.8846 | 0.9139 | 0.9056 | 0.9318 |
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- |SVD | 0.8846 | 0.9139 | 0.9056 | 0.9318 |
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- |SVDpp | 0.8846 | 0.9139 | 0.9056 | 0.9318 |
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- |NMF | 0.8846 | 0.9139 | 0.9056 | 0.9318 |
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- |SlopeOne | 0.8846 | 0.9139 | 0.9056 | 0.9318 |
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- |CoClustering | 0.8846 | 0.9139 | 0.9056 | 0.9318 |
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  ### BibTeX entry and citation info
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  ```bibtex
 
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  |NormalPredictor| 0.8269 | 0.8545 | 0.8392 | 0.8712 |
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  |BaselineOnly | 0.7115 | 0.7794 | 0.7255 | 0.8485 |
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  |KNNBasic | 0.8654 | 0.9083 | 0.8486 | 0.9773 |
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  ### BibTeX entry and citation info
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  ```bibtex