How to compare machine learning classifiers in 2 lines of code (lazypredict Python library)

In this video, I will be showing you how to compare machine learning algorithms (classification and regression) in just 2 lines of code using the lazypredict Python library.

👉 Install: pip install lazypredict

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[vaughnsmith]

Such a powerful tool presented in under 10min and uploaded in time for me to make my coffee and jump on YouTube in the morning. Thank you for such awesome content!

[TinaHuang]

So awesome! Love learning something new with data professor everyday ❤️

[paragjp]

Sir you are doing great work to help Data Science community. Pl put some videos on real life projects on Deep Learning and NLP too.

[tmsns]

Just awesome... Keep us motivated as you do always.

[Shankarpandala]

Thanks for making this video tutorial.
Create issues in the github repo will fix or add features as much as possible

[qusaybtoush]

if the model KNeighborsClassifier have high accuracy, how I can know the parameter this model ?

[ArunYadav-lfti]

Ahhh I am waiting for this lecture. This is really cool😊. Going to implement it . Thanks professor 🙏

[siddhigolatkar]

Thank you.. another amazing library to play with.. :)

[divyakarade]

Thanks for this video and valuable information. Waiting for its another part....

[Kickass]

Great video but I was wondering isn't taking the highest accuracy model not necessarily the best given that if you tweak some of the parameters in other models they could potentially get a better result than the highest, in this case the GradientBoostingRegressor?

[shatiswaranvigian]

Thank you Data professor, very useful. 👍

[rafael_l]

So nice, thanks! How does it compare to Pycaret, which you showed on a previous video?

[deepakwalia]

Nice Library. Thanks for the information. Just one thing, CatBoost is missing in this package.

[johnwt]

Thanks for the library suggestion.

It always kills me when people don't write the 0 before the decimal as in min 2:11
.2 => bad
0.2 => good

[robottalks]

Is there a way to increase the number of decimal places shown in accuracy, f1 score, etc?

[timurrakhmanov]

can we use cross validation in lazypredict? I didn't find.

[sebastiancastro]

Lazypredict reminds me of pycaret. Do you find it different or better?

[username]

isnt it just an another representation of autosklearn or automl but instead lazypredict?

[RahulChowdhury-xg]

The lazypredict not working ... I search it for all places but it still doesn't work ... can you please help me with it??

[kumarajayth]

How can we tune the parameter to improve accuracy here?