Titlebook: Machine Learning Risk Assessments in Criminal Justice Settings; Richard Berk Book 2019 Springer Nature Switzerland AG 2019 Risk Assessment - BOOKS with Alphabet M (Ma,Mb,Mc, Md,Me…) - 派博传思国际中心

无法仿效 发表于 2025-3-21 16:47:36

书目名称Machine Learning Risk Assessments in Criminal Justice Settings影响因子(影响力) http://figure.impactfactor.cn/if/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings影响因子(影响力)学科排名 http://figure.impactfactor.cn/ifr/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings网络公开度 http://figure.impactfactor.cn/at/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings网络公开度学科排名 http://figure.impactfactor.cn/atr/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings被引频次 http://figure.impactfactor.cn/tc/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings被引频次学科排名 http://figure.impactfactor.cn/tcr/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings年度引用 http://figure.impactfactor.cn/ii/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings年度引用学科排名 http://figure.impactfactor.cn/iir/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings读者反馈 http://figure.impactfactor.cn/5y/?ISSN=BK0620419 书目名称Machine Learning Risk Assessments in Criminal Justice Settings读者反馈学科排名 http://figure.impactfactor.cn/5yr/?ISSN=BK0620419

Condyle 发表于 2025-3-21 23:25:23

Some Important Background Material,hat constructing statistical forecasts of criminal behavior is primarily a technical enterprise. But the forecasted risks inform real decisions by criminal justice officials and other stakeholders. As a result, a wide range of matters can arise, only some of which are technical. Although for exposit

HAVOC 发表于 2025-3-22 00:54:03

A Conceptual Introduction to Classification and Forecasting,fication problem. The goal is to assign classes to cases. There may be two classes or more than two. Machine learning is broadly considered before turning in later chapters to random forests as a preferred forecasting tool. There is no use of models and at best a secondary interest in explanation. M

凹槽发表于 2025-3-22 07:41:53

A More Formal Treatment of Classification and Forecasting,of the model used to characterize how the data were generated. That model is very different from the one used in conventional regression. Then, classification is considered followed by the estimation issues it raises. The bias-variance tradeoff is front and center. So is post-selection statistical i

Ambiguous 发表于 2025-3-22 10:46:03

Tree-Based Forecasting Methods,in criminal justice forecasting. The joint probability distribution model, data partitioning, and asymmetric costs should now be familiar. These features combine to make tree-based methods of recursive partitioning the fundamental building blocks for the machine learning procedures discussed. The ma

Fierce 发表于 2025-3-22 14:10:50

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Defiance 发表于 2025-3-22 17:42:38

Real Applications,applications that led to procedures adopted by criminal justice agencies. As such, they combine a number of technical matters with the practical realities of criminal justice decisions-making. For the reasons already addressed, random forests will be the machine learning method of choice with one ex

Postulate 发表于 2025-3-23 00:14:02

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ENNUI 发表于 2025-3-23 04:40:43

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mercenary 发表于 2025-3-23 07:02:38

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