In this talk, we provide an update on the latest scikit-learn features that have been implemented in versions 1.4 and 1.5. We will particularly discuss the following features:

• the metadata routing API allowing to pass metadata around estimators;
• the TunedThresholdClassifierCV allowing to tuned operational decision through custom metric;
• better support for categorical features and missing values;
• interoperability of array and dataframe.