MACHINE LEARNING FOR INFERENCE: USING GRADIENT BOOSTING DECISION TREE TO ASSESS NON-LINEAR EFFECTS OF BUS RAPID TRANSIT ON HOUSE PRICES

Machine learning for inference: using gradient boosting decision tree to assess non-linear effects of bus rapid transit on house prices

The adoption of bus rapid transit (BRT) systems has gained worldwide popularity over the past several decades.China is no exception as it has long been aiming at promoting public transportation.Prior studies have provided extensive evidence that BRT has substantial effects on house prices with traditional econometric techniques, such as hedonic pri

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LITERATURE REVIEW: FRAUD AUDITING IN INDONESIA

Financial Harry Potter statement fraud or corruption is one of the most common types of fraud committed by company executives.Pressure, opportunity, rationalization, arrogance, and the ability to commit fraud are all factors that contribute to financial statement fraud.The role of the auditor is critical in detecting signs of fraud in financial rep

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Species diversity and chemical properties of litter influence non-additive effects of litter mixtures on soil carbon and nitrogen cycling.

Decomposition of litter mixtures generally cannot be predicted from the component species incubated in isolation.Therefore, such non-additive effects of litter mixing on soil C and N dynamics remain poorly understood in terrestrial ecosystems.In this study, litters of Mongolian pine and three dominant understory species and soil 2.5/3.5/6.5mm Cable

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