Machine Learning, Survival Analysis, Python, Churn, Regression.
It is interpreted as follows[11]: Random Predictions: 0.5 Perfect Concordance: 1.0 Perfect Anti-Concordance: 0.0 (in this case we should multiply the predictions by -1 to get a perfect 1.0) Usually, the fitted models have a concordance index between 0.55 and 0.7 which is due to the noise present in