Classification_projects

This document content some classification systems. We used two of the most datasets of machine learning MNIST and TITANIC datasets.

In these projects:

• Binary classifier.
• Performance Measures
  • Measuring Accuracy using Cross-Validation,
  • Confusion Matrix,
  • Precision and Recall
  • Precision and Recal Trade-off
  • ROC Curve and the ROC AUC.
• Multiclass Classification.
• Error Analysis.
• Multilabel Classification.
• Muitioutput Classification.