Question: Which evaluation metric is commonly used to assess the performance of an SVM model?
Options:
Mean Squared Error
Accuracy
Silhouette Score
Confusion Matrix
Correct Answer: Accuracy
Solution:
Accuracy is a common metric used to evaluate the performance of classification models, including SVM.
Which evaluation metric is commonly used to assess the performance of an SVM mod
Practice Questions
Q1
Which evaluation metric is commonly used to assess the performance of an SVM model?
Mean Squared Error
Accuracy
Silhouette Score
Confusion Matrix
Questions & Step-by-Step Solutions
Which evaluation metric is commonly used to assess the performance of an SVM model?
Step 1: Understand what an SVM model is. SVM stands for Support Vector Machine, which is a type of algorithm used for classification tasks.
Step 2: Know that when we want to see how well a model like SVM is performing, we need to use evaluation metrics.
Step 3: Learn about different evaluation metrics. One common metric is accuracy, which tells us the percentage of correct predictions made by the model.
Step 4: Realize that accuracy is widely used for classification models, including SVM, to assess their performance.
No concepts available.
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