An Exhaustive Analysis of Lazy vs. Eager Learning Methods for Real-Estate Property Investment

ICLR 2019 Setareh RafatiradMaryam Heidari

Accurate rent prediction in real estate investment can help in generating capital gains and guaranty a financial success. In this paper, we carry out a comprehensive analysis and study of eleven machine learning algorithms for rent prediction, including Linear Regression, Multilayer Perceptron, Random Forest, KNN, ML-KNN, Locally Weighted Learning, SMO, SVM, J48, lazy Decision Tree (i.e., lazy DT), and KStar algorithms... (read more)

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