Accuracy is what many beginners look for when building an ML model. Imagine you have a model that detects skin diseases. Your test dataset has 10,000 patients, out of which only 100 have the disease, while the remaining are healthy. The model ends up predicting everyone as healthy. That would give a 99% accuracy, which sounds impressive, but it... Weiterlesen: Key ML Classification Metrics You Need to Understand
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Key ML Classification Metrics You Need to Understand
Accuracy is what many beginners look for when building an ML model. Imagine you have a model that detects skin diseases. Your test dataset has 10,000 patients,…
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