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What is a Model?
What is Data Mining?
What is Machine Learning?
How to practically use ML?
Data Collection
Data Analysis
Data Preprocessing
Model Building
Model Evaluation
Model Governance
Model Deployment
Why Models Fail?
Applications of ML in real-life
Machine Learning 101 Quiz
Return to Machine Learning Basics

Why Models Fail?

Machine Learning Basics Why Models Fail?

YES, models can fail. Common issues are:

  • Inadequate pre-processing of data
  • Inadequate model validation
  • Unjustified extrapolation (e.g. application of the model to data that reside in a space which the model has never seen)
  • Overfitting the model to the existing data
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