Interpreting ML Models with Shap and Eli5 in Python (Breast Cancer Prediction)

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In this tutorial we will be building a machine learning model and then interpret it with Shap (Shapley Additive Explanations) and Eli5.

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Code:
#More Explanations of Shap/Shapley Values

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If you need any help just message me in the comments, you never know it might help someone else too.
J-Secur1ty JCharisTech

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It is very difficult to understand a single word you say

dixitjain

Thank you for your instruction! It's very helpful.

jessicas

Why expected_values and shap_values returned two rows of values with +ve and -ve numbers.
Is it related to the number of classes in the Y or Target label, where 0 represents the class1(say benign) and 1 represents the class2(say malignant)?
And, does it works well with the categorical data? As it tends to give less importance to such variables.

RajeshSharma-bdzo

Thank you Jcharis. Please can you be my MENTOR. I need guide lol. Honestly I am serious. Your videos are unique.

georgyno

Please remake the video with subtitles

ross

I woukd ask you to make a video on image

sayantanighosh

sir, could you please help, i have a doubt

kaivalyasinha

What kind of English he is speaking! :(

SabbirAhmedSibli

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