Different metrics measure different mistakes A model can improve AUC while worsening log loss, or improve precision while hurting recall. Choose the metric from the decision the number will drive, not from habit. Four questions that pick the metric family QUESTION 1 OF 4 Is the output a number rather than a class? Yes: MAE,Continue reading “Guide to metrics for your ML models”
Tag Archives: machine-learning
Steps to follow in choosing the models (and their summary)
Choose the model from the shape of the problem Start with the simplest credible baseline. Add complexity only when data, error analysis, and product value justify it. Four questions that narrow the field Do you have labelled outcomes?Yes: use supervised models.No: consider clustering or anomaly detection. Are the inputs mostly structured columns?Yes: start with logisticContinue reading “Steps to follow in choosing the models (and their summary)”
Deep Neural Networks
The emergence of ChatGPT has been one of the most transformative advancements in recent years, reshaping the landscape of artificial intelligence. Its impact has been profound, inspiring a new generation of engineers, including myself. Motivated by this groundbreaking technology, I’ve decided to write a series of blogs to help engineers dive deeper into the worldContinue reading “Deep Neural Networks”
Nihit Purwar 