Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach.
Dina A. AlabbadShahad Y. AjibiRaghad B. AlotaibiNoura K. AlsqerRahaf A. AlqahtaniNoor M. FelembanAtta RahmanSumayh S. AljameelMohammed Imran Basheer AhmedMustafa M. YouldashPublished in: Mach. Learn. Knowl. Extr. (2024)
Keyphrases
- machine learning
- pattern recognition
- decision trees
- supervised machine learning
- text classification
- classification accuracy
- prediction accuracy
- machine learning methods
- supervised learning
- artificial intelligence
- image classification
- supervised classification
- support vector machine
- feature selection
- machine learning algorithms
- model selection
- machine learning approaches
- predictive modeling
- wide range
- classification scheme
- computer vision
- prediction model
- classification method
- neural networks and support vector machines
- automatic classification
- classification systems
- prediction error
- kernel methods
- data sets
- support vector machine svm
- reinforcement learning
- support vector
- feature space
- natural language processing
- training data
- machine learning models
- training set
- feature vectors
- information extraction
- classification algorithm
- knowledge acquisition
- unsupervised learning
- inductive learning
- learning tasks
- training samples
- statistical methods
- decision rules