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LABELED/UNLABELED DATA - Coggle Diagram

- - - - Unlabeled data
        
        Active learning
        extraction
        
        fold random sampling
        OR
        fold weighted sampling
        
        Oracle(s)
        
        Add new labeled data
      - Labeled data
        
        Test set
        
        n samples
        per each fold
        
        symmetric random
        extraction
        
        Train set
        
        n residuals per
        each fold
        
        ML classification
        training
        
        Cross-cluster/fold
        validation
        
        Constraints
        
        Distance between
        train & test points
        
        stratification criteria

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LABELED/UNLABELED
DATA

balance labeled/unlabeled ratio

Clusters/Folds

$K_2$

$$K_1$$

$$K_n$$

Data extraction

Unlabeled data

Active learning
extraction

Labeled data

Test set

fold random sampling
OR
fold weighted sampling

Oracle(s)

Add new labeled data

Constraints

balance class distribution

same cluster size (aprox.)

balance labeled/unlabeled ratio

n samples
per each fold

account for dead zones

Train set

...

symmetric random
extraction

n residuals per
each fold

Constraints

Distance between
train & test points

stratification criteria

ML classification
training

Cross-cluster/fold
validation

min spatial autocorrelation