DataHour: Unfolding Model Evaluation Metrics in Machine Learning
DataHour: Unfolding Model Evaluation Metrics in Machine Learning
28 Dec 202215:12pm - 28 Dec 202216:12pm
DataHour: Unfolding Model Evaluation Metrics in Machine Learning
About the Event
Model Evaluation metrics are used to identify the best fit model as per the business requirements and the problem statement. There are different types of ML problems which require a type of measurement on which we can decide whether the model performance is good or not or rather we focus on model accuracy or model performance.
In this DataHour, Shubham will be covering explaining the following topics in detail using use cases:
- Brief Introduction
- When to focus on model accuracy and model performance
- Types of model evaluation metrics we use in classification problems(Binary and multiclass)
- Types of model evaluation metrics we use in regression problems
Prerequisites: Basic understanding of ML models, its applications and zeal of learning Data Science and Machine Learning.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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