In this tutorial I want to show how you can use alluvial plots to visualise model response in up to 4 dimensions. easyalluvial generates artificial data space using fixed values for unplotted variables or uses the partial dependence plotting method. It is model agnostic but offers some convenient wrappers for caret models.

Continue reading

Basel Biometrics Society Seminar 20191101 Predictive modelling, machine learning and causality Clinical Predictions ML vs. Stats Clinical Prediction Models https://www.springer.com/gp/book/9780387772431 Log Regression vs ML https://www.ncbi.nlm.nih.gov/pubmed/30763612 The EQUATOR network and reporting guidelines for prediction models Enhancing the Quality and Transperancy of healtth research Willi Sauerbrei https://www.equator-network.org/reporting-guidelines/ Altman Moher Book https://onlinelibrary.wiley.com/doi/book/10.1002/9781118715598 Why Most Published Research Findings Are False https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124 ## Torsten Hothorn Score-based transformation learning http://user.math.uzh.ch/hothorn/ Boosting - fit baeline model - look at correlation of residuals with features - add feature with highest correlation to the model - repeat

Continue reading

Author's picture

Dr. Björn Koneswarakantha


Data Scientist

Switzerland