This framework can also be used to calibrate object detection models. It has recently been shown that calibration on object detection also depends on the position and/or scale of a predicted object ...

Ordinal logistic regression. Alternatively, ordinal logistic regression can be used. It comes in several versions (2), and the one most frequently used is called 'proportional odds logistic regression ...

Objective To explore the association between biological rhythm and internalising disorders among children and adolescents. Design, setting and participants This cross-sectional study used data from ...

End-to-end machine learning project for predicting loan defaults on the HMEQ home equity loan dataset. Includes data preprocessing, EDA, feature engineering, model training (Logistic Regression, ...