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Applied Data Science and Machine Learning

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Tips, tricks, and comments related to topics in data science and machine learning. Used to be called data mining and predictive analytics but updated the title to reflect the language of the day! Host

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Applied Data Science and Machine Learning skip to main | skip to sidebar Applied Data Science and Machine Learning Tips, tricks, and comments related to topics in data science and machine learning. Used to be called "data mining and predictive analytics" but updated the title to reflect the language of the day! Hosted by Dean Abbott, Abbott Analytics Friday, November 24, 2023 How Confident Are We of Machine Learning Model Predictions? When we build binary classification models using algorithms like Neural Networks, XGBoost, Random Forests, etc., we get as an output of the models a prediction that ranges from 0 to 1. But how sure are we that this is a stable prediction? Does a score of 0.8 really mean 0.8? There is a difference between 0.8 +/- 0.05 and 0.8 +/- 0.4 after all!  One reason we love models grounded in statistics is that because of the strong assumptions they have, we can compute many metrics to provide insight into how sure we are the the coefficients ar...

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