Machine Learning Fundamentals
Why do we resample data?
A model that memorizes its training data isn't really learning. Resampling techniques divide your dataset into training and evaluation subsets so you can estimate how well a model will generalize to unseen data. Pick a method below and watch it work, step by step.
Choose a method
Dataset Overview
Click "Next Step" to start resampling
Train
Test
OOB
Class A
Class B
Class C
= class centroid
Parameters
Train ratio
0.80
48 train
12 test
Actions
Progress
0 / 0
Latest Result
Train size
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Test size
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This step
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Running mean
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Accuracy Across Iterations
Each bar shows the model's accuracy on that iteration's test set · dashed line is the running mean
Final estimate
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Run a resampling method to see accuracy per iteration
1.0
0.5
0.0