Binary classification through SVM/Decision tree ( Mat. Code)

Version 1.0.0 (118 ko) par Samarjeet Kumar
The data set is partitioned for training/testing. Scatter plot/confusion matrix/ROC curve is plotted through MATLAB code.
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Mise à jour 1 juin 2023

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Here, The data set is partioned into (30/70) ratio for testing and training. The detailed procedure is listed below.
Reading training data set
Randomise training set
Creating testing set (partioning in 30/70 ratio).
Model development (either SVM/Decision tree)
Plotting Scatter plot
Plotting confusion matrix
Prediction of data
Saving predicted data in excel set.
See the Zip file for further information.

Citation pour cette source

Samarjeet Kumar (2026). Binary classification through SVM/Decision tree ( Mat. Code) (https://fr.mathworks.com/matlabcentral/fileexchange/130374-binary-classification-through-svm-decision-tree-mat-code), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2023a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
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classification

Version Publié le Notes de version
1.0.0