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Table 1 Sample distribution for the binary and multiclass versions of the collected dataset

From: On the utilization of deep and ensemble learning to detect milk adulteration

Multiclass

# Samples

Binary

# Samples

Raw

2470

Raw

2470

Sucrose

486

Adulterated

2376

Formaldehyde

485

  

Starch

480

  

Peroxide

465

  

Bicarbonate

460

  
  1. The full dataset has 4846 samples. The raw class is ≈50% of the dataset. Each adulterant class is ≈10% on multiclass, while the binary considers these samples as one class (≈50%)
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BioData Mining

ISSN: 1756-0381