I have finally grown more trees leading to this new post on boosted trees - re. chaining Scikit-mol's transformers along with AdaBoost and XGBoost via Scikit_learn's interface and pipelines
https://jhylin.github.io/Data_in_life_blog/posts/19_ML2-3_Boosted_trees/1_adaboost_xgb.html
#cheminformatics #chembl #rdkit #python #ml #xgboost #adaboost #sklearn #scikit_mol

In an attempt to complete the random forest (RF) series, here's another follow-up post on RF classifier with more on imbalanced dataset - https://jhylin.github.io/Data_in_life_blog/posts/17_ML2-2_Random_forest/2_random_forest_classifier.html

#cheminformatics #ml #rf #chembl #chembl_downloader #scikit_mol #rdkit #Scikit_Learn #ghostml #Python