Predictive evaluation
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Predictive evaluation ensuring training delivers business and organizational results by David J. Basarab

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Published by Berrett-Koehler Publishers in San Francisco .
Written in English


  • Employees,
  • Evaluation,
  • Training of,
  • Employee training personnel

Book details:

Edition Notes

StatementDave Basarab
Contributionsebrary, Inc
LC ClassificationsHF5549.5.T7 B2937 2010eb
The Physical Object
Format[electronic resource] :
Paginationxiii, 150 p. :
Number of Pages150
ID Numbers
Open LibraryOL25563221M
ISBN 109781605098241

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In Predictive Evaluation: Ensuring Training Delivers Business and Organizational Results (Berrett-Koehler, ), author Dave Basarab explains how to begin by zeroing in on the program’s intentions: What specific goals and beliefs do you want to instill in participants? The next step is to determine what these will look like when put into action—what precise on-the-job actions and behaviors do you expect . evaluation metric, o ine evaluation, online evaluation, AUC, RIG, log-likelihood, prediction error, simulated metric, on-line advertising, sponsored search, click prediction 1. INTRODUCTION In the eld of machine learning, evaluation metrics are of-ten used to judge and compare the performance of predictive models on benchmark datasets. J. Sunil Rao, Jie Fan, in Handbook of Statistics, Clustering of Census Tracts Adds Robustness to Predictions. The next set of analyses examined predictive performance of the various estimators while allowing for clustering of census tracts with respect to community variables. The logic here is that even if an individual is incorrectly classified to a given tract, as long as the true. The Actionable Mining and Predictive Analysis process addresses unique requirements and constraints associated with the applied setting, including data access and availability, public safety-specific evaluation, and the requirement for operationally relevant and actionable output. Data privacy and security also are addressed.