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Hi @sebp and everyone, I am able to train models with > 0.9 scores using Coxnet, RSF, Gradient Boosting, and ComponentWise. A couple of features come up with the highest absolute coefficients and importance. How can I solve for the maximum/optimal values of these top features that will prolong the survival (i.e., ensure that the event does not occur, while maximizing the values that cause it)?
Thank you for your suggestions and thank you for this wonderful project!
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Hi @sebp and everyone, I am able to train models with > 0.9 scores using Coxnet, RSF, Gradient Boosting, and ComponentWise. A couple of features come up with the highest absolute coefficients and importance. How can I solve for the maximum/optimal values of these top features that will prolong the survival (i.e., ensure that the event does not occur, while maximizing the values that cause it)?
Thank you for your suggestions and thank you for this wonderful project!
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