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A comprehensive explainable machine learning framework for predicting sheep body weight
Farhat Iqbal
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Corresponding author for this work
Mathematics Department
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Computer Science
Catboost
50%
Computational Efficiency
50%
Cross-Validation
50%
Data Preprocessing
50%
Explainable Artificial Intelligence
100%
Extreme Gradient Boosting
50%
Graphical User Interface
50%
Interpretability
50%
Leaning Parameter
50%
Learning Framework
100%
LightGBM
50%
Machine Learning Model
50%
Multilayer Perceptron
50%
Predictive Accuracy
50%
Random Decision Forest
50%
SHapley Additive exPlanation
100%
Support Vector Regression
50%
Agricultural and Biological Sciences
Body Condition
25%
Livestock Management
25%
SHapley Additive exPlanation
50%
Sheep
100%
Tail
25%
User Interface
25%
Biochemistry, Genetics and Molecular Biology
Body Height
25%
Body Weight
100%
Perceptron
25%
Random Forest
25%
Support Vector Machine
25%
Xgboost
25%
Mathematics
Random Model
33%
Tail Length
33%