分类与回归树预测孟加拉西北地区降水标签

M. Rahman, M. Hossain
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摘要

孟加拉国的西北地区完全是一个农业区,降水标签的预测对该地区的人们以及决策者来说都是极其重要的。CART模式等无假设模式对孟加拉国西北部降水种类的预测有很大帮助。拟合的CART模型和修剪后的CART模型对孟加拉国西北电网降水标签的预测准确率约为80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification and Regression Tree to Predict the Precipitation Labels of North-West Region in Bangladesh
The north-west region of Bangladesh is completely an agricultural region and prediction of precipitation labels is extremely important to people of this region as well as for the policymaker also. The assumptions free model like the CART model is very helpful to predict the precipitation categories of the north-west part of Bangladesh. The fitted CART model and the pruned CART model provide approximately eighty percent accurate prediction to predict the precipitation labels of the north-west grid in Bangladesh in this study.
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