Classification Model of Household Saving Behavior Based on RF
Abstract
In order to stimulate residents savings and realize the balance of savings-investment, this paper selected the data of household savings in China's household finance survey as the main research object of the Behavior Classification Model, and mainly investigated the investment behavior, household consumption and other factors as the constraints of household savings decision-making. The establishment of RF Model for decision classification prediction and feature extraction, improve the interpretability of behavioral differences and high prediction rate, and further analyze the correlation between savings-investment balance and social value cycle with Solow Model, provide a new thinking line for the improvement of regional economy, and then put forward targeted suggestions and strive to bring about better social effects.
Keywords
RF model, characteristic extraction, decision-making classification
DOI
10.12783/dtetr/mcaee2020/35090
10.12783/dtetr/mcaee2020/35090
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