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Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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Here's an example of using lazypredict and precise to create a portfolio of models. See [colab notebook](https://github.com/microprediction/precise/blob/main/examples_colab_notebooks/lazypredict_model_portfolio.ipynb)

![image](https://user-images.githubusercontent.com/8230973/123622976-8ebe6300-d82a-11eb-9e0a-bc98d36398dd.png)

Hello There, First of all thank you for this module. My issue is that I am trying to add precision in metrics but when I do that in Supervised.py file...

added more statistical features to lazy predict

Hello, Facing this issue. **lazypredict 0.2.9 requires scikit-learn==0.23.1, but you have scikit-learn 0.24.2 which is incompatible.** lazypredict has to be restricted to scikit older version? thanks

while apply on multiclass problem where output are more than 2 'ColumnTransformer' object has no attribute '_check_n_features'

**Describe the bug** I am trying to train model, and get the results, but I keep getting `tuple model failed to execute.` **Expected behavior** It's supposed to be trained, and...

**Describe the bug** The regression summary is taking too long to load IE > 1hr 30 mins **To Reproduce** Steps to reproduce the behavior: 1. Go to IDE (Jupyter NB)...

**Describe the bug** I haven't got anything complex... the same code as the tutorial ``` from lazypredict.Supervised import LazyClassifier, LazyRegressor from sklearn.model_selection import train_test_split clf = LazyClassifier(predictions=True) models, predictions =...