Predicting Motor Insurance Claims Using Telematics Data—XGBoost versus Logistic Regression
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چکیده
منابع مشابه
Logistic Regression: Predicting Counts
For the most part, this book concerns itself with measurement data and the corresponding analyses based on normal distributions. In this chapter and the next we consider data that consist of counts. Elementary count data were introduced in Chapter 5. Frequently data are collected on whether or not a certain event occurs. A mouse dies when exposed to a dose of chloracetic acid or it does not. In...
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Individual chemical logistic regression models were developed for 37 chemicals of potential concern in contaminated sediments to predict the probability of toxicity, based on the standard 10-d survival test for the marine amphipods Ampelisca abdita and Rhepoxynius abronius. These models were derived from a large database of matching sediment chemistry and toxicity data, which includes contamina...
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The question posed in this article is how useful the chemical concentration measurements for predicting the outcome of sediment toxicity tests are. Using matched data on sediment toxicity and sediment chemical concentrations from a number of studies, we investigated several approaches for predicting toxicity based on multiple logistic regression with concentration-addition models. Three models ...
متن کاملRunning Header: Predicting Sediment Toxicity Using Logistic Regression
The question posed in this paper is: How useful are chemical concentration measurements for predicting the outcome of sediment toxicity tests? Using matched data on sediment toxicity and sediment chemical concentrations from a number of studies, we investigated several approaches for predicting toxicity based on multiple logistic regression with concentration-addition models. Three models were ...
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ژورنال
عنوان ژورنال: Risks
سال: 2019
ISSN: 2227-9091
DOI: 10.3390/risks7020070