Gradient boosting weights

New Altair Community Member
Updated by Jocelyn
Hi all,
I ran the model with gradient boosting algorithm in rapid miner and I have seen the weights generated for each input parameter and some of them have zero weight does that mean that those are eliminated from the model.does that mean it feature selects the parameters with positive weight?
Could you please help me in this.
Regards
Vishnu
I ran the model with gradient boosting algorithm in rapid miner and I have seen the weights generated for each input parameter and some of them have zero weight does that mean that those are eliminated from the model.does that mean it feature selects the parameters with positive weight?
Could you please help me in this.
Regards
Vishnu
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Hi @k_vishnu772,
the weights are caculated in the aftermath. Basically you run over all trees an calculate the influence of each cut and sum over it. A value of 0 in the weights indicates, that this attribute was never used for any split.
Cheers!
Martin