A Better Way of Forecasting Employees’ Performance: Evaluating the use of composite ceiling-floor models for predicting the likely range of workers’ future job performance

A joint range model created with Comport_AI

Medium.com • March 12, 2023

SUMMARY: This text is Part 3 of a three-article series on “Advanced modelling of workers’ future performance ranges through ANNs with custom loss functions.” It demonstrates how custom ceiling and floor models can be combined to create a composite prediction interval that can outperform simpler models based on MAE or SD in forecasting the probable range of workers’ future job performance.

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Optimize Your Performance Intervals! Use ANNs with custom loss functions to predict probable ceilings and floors for workers’ future job performance

A ceiling model created with Comport_AI

Medium.com • March 12, 2023

SUMMARY: This text is Part 2 of a three-article series on “Advanced modelling of workers’ future performance ranges through ANNs with custom loss functions.” It investigates the mechanics of independently modelling the likely ceiling and floor of the range of a worker’s probable future job performance using separate artificial neural networks with custom loss functions.

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One Number Is Rarely Enough: Why prediction intervals are critical (and challenging!) for HR predictive analytics

A joint range model created with Comport_AI

Medium.com • March 12, 2023

SUMMARY: This text is Part 1 of a three-article series on “Advanced modelling of workers’ future performance ranges through ANNs with custom loss functions.” It explores why it’s useful to predict the probable ceiling and floor for an employee’s future performance – and why it’s difficult to do so effectively, using conventional methods based on mean absolute error or standard deviation.

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