2 résultats pour « flood »

Attitudes Toward Moving or Staying and Buying Flood Insurance to Face Varied Flood Threats

Logistic #regressionanalysis identified significant #predictors for attitudes towards relocation and #floodinsurance decisions. The study found that low-magnitude #flood #scenarios had predictive models, while high-magnitude flooding did not. Flood insurance ownership emerged as a significant predictor for staying after flooding.

Learning Inter‑Annual Flood Loss Risk Models from Historical Flood Insurance Claims

This research evaluates different regression models to predict #flood-induced #insuranceclaims, using the #us #national #floodinsurance Program (#nfip) dataset from 2000 to 2020. The models studied include #neuralnetworks (Conditional Generative Adversarial Networks), #decisiontrees (Extreme Gradient Boosting), and #kernel-based regressors (#gaussian Process). The study identifies key predictors for regression, highlighting factors that influence flood-related financial damages.