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Table 2 Demographic variables used in ML models for BT prediction

From: Comparison of machine learning models for bluetongue risk prediction: a seroprevalence study on small ruminants

Variables

Description

Type of variable

Predictors:

 1. Species

Sheep or goat

Categorical

 2. Age

Young (6- < 18 months), moderate (18- < 36 months), and old (≥ 36 months)

Categorical

 3. Sex

Male and female

Categorical

 4. Governorate

Al-Sharkia, Al-Monfia, Al-Menia, Al-Giza, and Al-Suis

Categorical

 5. Season

winter, spring, summer, and autumn

Categorical

Outcome:

 Bluetongue

Positive or negative serotyping

Categorical

  1. All predictors are categorical in nature and were dummy coded into 0 and 1, so we have 16 input variables