Abstract: Random feature (RF) has been widely used for node consistency in decentralized kernel ridge regression (KRR). Currently, the consistency is guaranteed by imposing constraints on coefficients ...
This project aims to predict house prices using the Ames Housing dataset. The goal is to preprocess the data, train a stacking model with multiple base models, and ...
Abstract: Ridge regression is a supervised biased estimation regression method in machine learning. In fact, its principle is similar to that of ordinary least squares(OLS) estimation, except that OLS ...
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