Details


Model Name:

Neural Network

Model Summary:

Neural networks are a class of machine learning models inspired by the human brain's neural structure. They consist of interconnected nodes (neurons) organized in layers. Neural networks can learn complex patterns and relationships from data, making them powerful for tasks such as image recognition, natural language processing, and more.

Model Metrics:
Precision: 86.04%
Accuracy: 85.47%
Recall: 75.04%
F1 Score: 80.16%
ROC AUC Score: 83.61%