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Title | Data science and machine learning code examples and |
Description | What’s a good ROC AUC score and how do I interpret Easy to understand guides and examples for data science and machine learning from the industry. Learn how data science is really |
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Stephen Allwright Azure Machine learning metrics Python snippets Snowflake Industry Resources About What’s a good ROC AUC score and how do I interpret it? Apr 23, 2022 1 min read Metrics ROC AUC (Area Under the Receiver Operating Characteristic Curve) score is a metric used to assess the performance of classification machine learning models. The ROC is a graph which maps the relationship between true positive rate (TPR) and the false positive rate (FPR) Read Now Read Later By: Stephen Allwright What is a good f1 score and how do I interpret it? Apr 20, 2022 1 min read Metrics F1 score (also known as F-measure, or balanced F-score) is a metric used to measure the performance of classification machine learning models. It is a popular metric to use for classification models as it provides robust results for both balanced and imbalanced datasets, unlike accuracy. Read Now Read Later By: Stephen Allwright What is R2 and what is a good score? Apr 16, 2022 1 min read Metrics R-Squared (R2) |
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