#FeatureImportance

What Makes an Antibody Hard to Manufacture? Data-Driven Insights

The Features That Matter After training the developability model on 100+ therapeutic antibodies, I looked at the feature importance rankings. The model had learned to weight certain properties more heavily than others when making predictions. Some of these were obvious. Some were surprising. All of them tell us something about what actually makes antibodies difficult to manufacture. The single most predictive feature was aggregation propensity in the complementarity-determining regions […]

kemal.yaylali.uk/what-makes-an

2024-08-08

I’ve tackled a comparative study of Random Forest vs. XGBoost on ecological data from Yaquina Bay. This post dives into Model performance and
Feature importance.

I’d love to hear your thoughts and feedback! Read it here:
briaslab.fr/blog/?action=view&
#MachineLearning #DataScience #RandomForest #XGBoost #FeatureImportance

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