An efficiency enhancement tool for binary classifier pipelines. Aims to optimize feature selection within datasets for faster training and improved binary classification performance.
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Updated
Aug 20, 2025 - Python
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feature-optimization
Here are 2 public repositories matching this topic...
Project exploring the impact of node pruning on CNN performance metrics within a stratified k-fold cross-validation framework. Focuses on optimizing recall for medical imaging tasks while analyzing trade-offs in precision and accuracy
deep-learning tensorflow keras performance-metrics medical-imaging cnn-optimization resnet50v2 model-recall node-pruning stratified-kfold research-experiment feature-optimization
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Updated
Nov 24, 2024 - Jupyter Notebook
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