Generalization of Machine Learning models

Type of course:

Digital learning, Lesson

Language:

Duration:

6 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Workers

In this instructional nugget, we embark on a journey into the realm of model evaluation, spanning both regression and classification scenarios. Our focus is on acquainting you with a range of essential metrics, though not exhaustive, that are extensively employed in the field. The core purpose of this endeavor is to equip learners with the ability to discern and appropriately apply these metrics according to the specific problem they aim to address. By grasping these metrics, you’ll gain the proficiency to effectively assess the performance of your models and make informed decisions that align with your problem-solving objectives.

Learning outcomes

Recognize different metrics and their use for predictive analysis.
Use the proper metric for a given prediction problem and a given target variable.
Explain the choice of the metric used based on the target variable to predict.