项目作者: yasasmahima

项目描述 :
Predicting Loan Credit Risk using Apache Spark Machine Learning Random Forests. A Tutorial by Carol McDonald. In this scenario, Here it builds a random forest of decision trees to predict the label / classification of Creditable or not
高级语言: Scala
项目地址: git://github.com/yasasmahima/Loan-Credit-Risk-Prediction.git
创建时间: 2020-07-29T03:53:00Z
项目社区:https://github.com/yasasmahima/Loan-Credit-Risk-Prediction

开源协议:Apache License 2.0

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Loan_Credit_Risk_Prediction

Predicting Loan Credit Risk using Apache Spark Machine Learning Random Forests. A Tutorial by Carol McDonald. In this scenario, Here it builds a random forest of decision trees to predict the label / classification of Creditable or not based on the following features:

Label → Creditable or Not Creditable (1 or 0)
Features → {balance, history, purpose…}

Datasets -> https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)