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Add FAQ to README.md 2 (corrected links)
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README.md

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16. [How many models should I use on a given stacking level?](https://github.com/vecxoz/vecstack#16-how-many-models-should-i-use-on-a-given-stacking-level)
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17. [How many stacking levels should I use?](https://github.com/vecxoz/vecstack#17-how-many-stacking-levels-should-i-use)
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18. [How do I choose models for stacking?](https://github.com/vecxoz/vecstack#18-how-do-i-choose-models-for-stacking)
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19. [I am trying hard but still can't beat my best single model with stacking. What is wrong?](https://github.com/vecxoz/vecstack#19-i-am-trying-hard-but-still-can-t-beat-my-best-single-model-with-stacking-what-is-wrong)
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19. [I am trying hard but still can't beat my best single model with stacking. What is wrong?](https://github.com/vecxoz/vecstack#19-i-am-trying-hard-but-still-cant-beat-my-best-single-model-with-stacking-what-is-wrong)
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20. [What should I choose: functional API (`stacking` function) or Scikit-learn API (`StackingTransformer`)?](https://github.com/vecxoz/vecstack#20-what-should-i-choose-functional-api-stacking-function-or-scikit-learn-api-stackingtransformer)
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21. [How do parameters of `stacking` function and `StackingTransformer` correspond?](https://github.com/vecxoz/vecstack#21-how-do-parameters-of-stacking-function-and-stackingtransformer-correspond)
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22. [Why Scikit-learn API was implemented as transformer and not predictor?](https://github.com/vecxoz/vecstack#22-why-scikit-learn-api-was-implemented-as-transformer-and-not-predictor)
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23. [How to estimate stacking training time and number of models which will be built?](https://github.com/vecxoz/vecstack#23-how-to-estimate-stacking-training-time-and-number-of-models-which-will-be-built)
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24. [Which stacking variant should I use: 'A' ('oof_pred_bag') or 'B' ('oof_pred')?](https://github.com/vecxoz/vecstack#24-which-stacking-variant-should-i-use-a-oof-pred-bag-or-b-oof-pred)
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24. [Which stacking variant should I use: 'A' ('oof_pred_bag') or 'B' ('oof_pred')?](https://github.com/vecxoz/vecstack#24-which-stacking-variant-should-i-use-a-oof_pred_bag-or-b-oof_pred)
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25. [How to choose number of folds?](https://github.com/vecxoz/vecstack#25-how-to-choose-number-of-folds)
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26. [When I transform train set I see 'Train set was detected'. What does it mean?](https://github.com/vecxoz/vecstack#26-when-i-transform-train-set-i-see-train-set-was-detected-what-does-it-mean)
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27. [How is the very first stacking level called: L0 or L1? Where does counting start?](https://github.com/vecxoz/vecstack#how-is-the-very-first-stacking-level-called-l0-or-l1-where-does-counting-start)
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28. [Can I use `(Randomized)GridSearchCV` to tune the whole stacking Pipeline?](https://github.com/vecxoz/vecstack#28-can-i-use-randomized-gridsearchcv-to-tune-the-whole-stacking-pipeline)
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27. [How is the very first stacking level called: L0 or L1? Where does counting start?](https://github.com/vecxoz/vecstack#27-how-is-the-very-first-stacking-level-called-l0-or-l1-where-does-counting-start)
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28. [Can I use `(Randomized)GridSearchCV` to tune the whole stacking Pipeline?](https://github.com/vecxoz/vecstack#28-can-i-use-randomizedgridsearchcv-to-tune-the-whole-stacking-pipeline)
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29. [How to define custom metric, especially AUC?](https://github.com/vecxoz/vecstack#29-how-to-define-custom-metric-especially-auc)
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30. [Do folds (splits) have to be the same across estimators and stacking levels? How does `random_state` work?](https://github.com/vecxoz/vecstack#30-do-folds-splits-have-to-be-the-same-across-estimators-and-stacking-levels-how-does-random-state-work)
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30. [Do folds (splits) have to be the same across estimators and stacking levels? How does `random_state` work?](https://github.com/vecxoz/vecstack#30-do-folds-splits-have-to-be-the-same-across-estimators-and-stacking-levels-how-does-random_state-work)
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### 1. How can I report an issue? How can I ask a question about stacking or vecstack package?
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