What are the different methods for classifying defects?
There are several methods for classifying defects, including statistical methods, machine learning techniques, and rule-based systems.
Can you explain how machine learning is used in defect classification?
Sure! Machine learning algorithms can analyze historical defect data to identify patterns and classify new defects based on learned features.
What are some common algorithms used for this?
Common algorithms include decision trees, support vector machines, and neural networks, each with its strengths depending on the data.
How do I choose the right method for my project?
Consider factors like the type of data you have, the complexity of the defects, and the resources available for implementation.
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