Sensitivity
Artificial Intelligence
Sensitivity Evaluation for Unobserved Confounding
know the unknowable in observational studiesIntroductionProblem Setup2.1. Causal Graph2.2. Model With and Without Z2.3. Strength of Z as a ConfounderSensitivity Evaluation3.1. Goal3.2. Robustness ValuePySensemakrConclusionAcknowledgementsReferencesThe specter of unobserved confounding (aka omitted variable bias) is...
Artificial Intelligence
Conformal prediction for regression The information The workflow Data processing Training and calibration Conformal prediction Predictions quality estimation Optimizing normalization sensitivity parameter beta Optimizing error rate “Easy” approach Conclusion References
I also prepared the “easy” implementation of conformal prediction for regression. As within the previous post the simplicity means going without loops for training multiple models and obtaining multiple calibration tables. Also there isn't...
Artificial Intelligence
Sensitivity in Predictive Modeling: A Guide to Buying Paying Customers with Less Traffic Introduction Understanding Confusion Matrix for Predictive Modeling in Business Talk Python To Me Here is...
Discover a cheap ad campaign strategy by defining and evaluating model sensitivity, with step-by-step guidance and Python implementationOn this post, we’ve seen tips on how to evaluate the performance of a machine-learning model using...
Recent posts
