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@@ -247,7 +247,7 @@ Final prediction score: [0.96666667]
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***Variant A:** Three pictures describe three folds of cross-validation. After completion of all three folds we get single train feature and single test feature to use with 2nd level model.
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***Variant B:** First three pictures describe three folds of cross-validation (like in Variant A) to get single train feature and fourth picture describes additional step to get single test feature.
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8. We can repeat this cycle using other 1st level models to get more features for 2nd level model.
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9. You can also look at animation of [Variant A](https://github.com/vecxoz/vecstack#variant-a.-animation) and [Variant B](https://github.com/vecxoz/vecstack#variant-b.-animation).
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9. You can also look at animation of [Variant A](https://github.com/vecxoz/vecstack#variant-a-animation) and [Variant B](https://github.com/vecxoz/vecstack#variant-b-animation).
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