How do I interpret predictive analytics results?

How do I interpret predictive analytics results?

Interpreting predictive analytics results involves understanding the data, models, and outcomes. What specific results are you looking at?

I'm looking at a model predicting customer churn.

Great! Focus on metrics like accuracy, precision, and recall. Are there specific values or metrics you need help with?

Yes, the model shows a 75% accuracy rate. Is that good?

A 75% accuracy rate can be decent, but it depends on the context. What is the baseline accuracy for your data?

The baseline is around 60%. So, it's better than the baseline?

Yes, it's better than the baseline! However, consider other metrics like false positives and negatives for a complete picture.