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March 21, 2018, to February 19, 2021. Several different methods such as “generalized linear models” (GLM) and “recursive … partitioning and regression trees” (RPART), “random forests” (RF) regression models, and “neural network” (NN) models were examined … house price prediction. We used 90% of all data samples which were chosen randomly to estimate the parameters of pricing …
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XGBoost is recognized as an algorithm with exceptional predictive capacity. Models for a binary response indicating the existence of accident claims versus no claims can be used to identify the determinants of traffic accidents. This study compared the relative performances of logistic...
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