'SVC' object has no attribute 'feature_importances_'
时间: 2023-10-23 11:13:17 浏览: 68
The attribute 'feature_importances_' is not available for Support Vector Machine (SVM) models in scikit-learn. It is only available for tree-based models such as Decision Trees, Random Forests, and Gradient Boosting models.
SVMs do not directly provide feature importance scores. However, you can use methods such as permutation importance or SHAP values to calculate the importance of features for SVM models. These methods involve training surrogate models or approximations to the SVM model and then calculating feature importance scores using these models.
Alternatively, you can use feature scaling techniques such as normalization or standardization to rescale the features so that their importance is more comparable. This can help you identify which features are important for the model's performance.