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SVM Classifier C++ 1.0.0
High-performance Support Vector Machine classifier with scikit-learn compatible API
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Model evaluation metrics.
More...
#include <types.hpp>
Public Attributes |
| double | accuracy = 0.0 |
| | Classification accuracy.
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| double | precision = 0.0 |
| | Macro-averaged precision.
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| double | recall = 0.0 |
| | Macro-averaged recall.
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| double | f1_score = 0.0 |
| | Macro-averaged F1-score.
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| std::vector< std::vector< int > > | confusion_matrix |
| | Confusion matrix.
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Detailed Description
Model evaluation metrics.
Definition at line 70 of file types.hpp.
Member Data Documentation
◆ accuracy
| double svm_classifier::EvaluationMetrics::accuracy = 0.0 |
Classification accuracy.
Definition at line 71 of file types.hpp.
◆ confusion_matrix
| std::vector<std::vector<int> > svm_classifier::EvaluationMetrics::confusion_matrix |
Confusion matrix.
Definition at line 75 of file types.hpp.
◆ f1_score
| double svm_classifier::EvaluationMetrics::f1_score = 0.0 |
Macro-averaged F1-score.
Definition at line 74 of file types.hpp.
◆ precision
| double svm_classifier::EvaluationMetrics::precision = 0.0 |
Macro-averaged precision.
Definition at line 72 of file types.hpp.
◆ recall
| double svm_classifier::EvaluationMetrics::recall = 0.0 |
Macro-averaged recall.
Definition at line 73 of file types.hpp.
The documentation for this struct was generated from the following file:
1.9.8
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