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- Sign of the coefficients in prediction feature exp...

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Jayant

NiCd Battery

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08-02-2021
03:14 PM

Hello,

Recently I did build a binary classification( 1 vs 0) model and deployed the highest ranking model built using Gradient Boosting classifier. My question is regarding the signs of the column **Explanation_1_strength. **Will it be correct to say that if the sign of this number is positive, then this feature is contributing towards the record being in positive class(i.e. 1). On the other hand, if sign is negative, then it is pushing the data record towards the negative class( i.e. 0).

Can someone kindly clarify if I am thinking correct about it. Thanks in advance.

3 Replies

doyouevendata

DC Motor

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08-02-2021
03:40 PM

Jayant

NiCd Battery

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08-02-2021
04:29 PM

Appreciate your prompt response. One additional question I have;

For my example I can see that the data record is being classified as 0 (i.e. safe) , but there are no features with negative coefficients. I am looking at top five features and can see only 5 features with positive coefficients. This is looking quite mysterious to me.

I am not being able to comprehend, why is this happening. Can you kindly clarify?

doyouevendata

DC Motor

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08-02-2021
04:43 PM