To interpret our model, we further analyze the random forest regression results using SHAP (Shapley Additive exPlanations)35, a generalized metric for feature importance, which utilizes the game-theory-based Shapley values to calculate the contribution of each feature to the model’s output. SHAP in...
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• Application development: It helps patients and medical personnel to interpret data coming from medical devices and equipments in order to plan the workflow for RPM at home. Software applications can be developed as mobile apps for smartphones/tablets or as web applications. • Secure data ...
The authors interpret this 'greenness' as a signal of how green the wider population wishes to live in the long-term as it grows wealthier over time. In our analyses of property transaction data on the 2009–2012 residential market, we focus on 2303 properties that sold for at least 1 ...
Multiple regression analysis was conducted to help interpret the findings of the canonical correlation analyses. Each of the three place relationship dimensions were used separately as the dependent variable (predictand) with the four community planning feature factors of the final model used as the ...
That is, how to interpret an industry with respect to its value chain may vary by experts; accordingly, different value chains can be developed by different experts, allowing the creativity and flexibility of analysis, which is not feasible in a data-driven analysis. Data-driven approaches ...