@article{
 title = {Classification and Regression Tree to Predict the Precipitation Labels of North-West Region in Bangladesh},
 type = {article},
 year = {2019},
 keywords = {Accuracy,CART,Confusion Matrix,Gini Index,Training Data},
 pages = {126},
 volume = {9},
 publisher = {Canadian Center of Science and Education},
 id = {f64894df-9591-3722-87bf-323f98172540},
 created = {2021-05-05T15:59:22.694Z},
 file_attached = {false},
 profile_id = {3d6b17c2-7de8-3a82-bf4f-ddb0e3081e5f},
 last_modified = {2022-05-06T21:48:21.290Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 source_type = {JOUR},
 private_publication = {false},
 abstract = {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.},
 bibtype = {article},
 author = {Rahman, Md. Habibur and Hossain, Md. Moyazzem},
 doi = {10.5539/enrr.v9n3p117},
 journal = {Environment and Natural Resources Research},
 number = {3}
}

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