Classification with OpenCV3 C++ (2/2)

René-Jean Corneille
3 min readMay 7, 2018

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Large data set with low variance:

original dataset:

k-nearest neighbours:

decision tree:

boosting:

random forest:

linear SVM:

rbf SVM:

sigmoid SVM:

Large data set with high variance:

original dataset:

k-nearest neighbours:

decision tree:

boosting:

random forest:

linear SVM:

rbf SVM:

sigmoid SVM:

Small data set with low variance:

original dataset:

k-nearest neighbours:

decision tree:

boosting:

random forest:

linear SVM:

rbf SVM:

sigmoid SVM:

Small data set with high variance:

original dataset:

k-nearest neighbours:

decision tree:

boosting:

random forest:

linear SVM:

rbf SVM:

sigmoid SVM:

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René-Jean Corneille
René-Jean Corneille

Written by René-Jean Corneille

Director of ML. I write about data science, mlops, python and sometimes C++

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