I tried to follow the example codes at https://machinelearningmastery.com/tune-machine-learning-algorithms-in-r/ but my output did not showing up accuracy and kappa sd. What am i missing? My caret library is 3.5.2 on Windows 10 Pro.
My output was:
Random Forest
208 samples
60 predictor
2 classes: 'M', 'R'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 3 times)
Summary of sample sizes: 186, 187, 188, 187, 188, 187, ...
Resampling results:
Accuracy Kappa
0.8376335 0.6712345
In the tutorial it's not specified how the output with SD's was obtained. It actually wasn't just rf_default
. Instead,
rf_default$results
# mtry Accuracy Kappa AccuracySD KappaSD
# 1 7.745967 0.8376335 0.6712345 0.07038106 0.1426329