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klotz: classification* + evaluation*

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1. Metrics to Evaluate a Classification Machine Learning Model

   This article explores various metrics used to evaluate the performance of classification machine learning models, including precision, recall, F1-score, accuracy, and alert rate. It explains how these metrics are calculated and provides insights into their application in real-world scenarios, particularly in fraud detection.

   2024-08-01 Tags: machine learning, classification, metrics, evaluation, precision, recall, f1-score, accuracy, alert rate, fraud detection, llm by klotz
2. how to compare a classification model to a baseline

   A ready-to-run tutorial in Python and scikit-learn to evaluate a classification model compared to a baseline model

   2024-02-22 Tags: classification, evaluation, baseline, machine learning, roc by klotz

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