Support Vector Machine (SVM)
Classify the categorical target variable in your dataset with high accuracy. A complete ML report with RBF, linear and polynomial kernel options, including a confusion matrix and permutation importance.
SVM Model
A Support Vector Machine is trained with an RBF, linear or polynomial kernel and the C regularization parameter.
Permutation Importance
Each variable's actual contribution to the classification is calculated with the permutation method and ranked.
Confusion Matrix
Accuracy, precision, recall and F1 score on the test set are reported.
PDF Report
Metrics, the confusion matrix and an APA-style report sentence are downloaded as a PDF.
How It Works?
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