ML 스터디 14주차 과제

[whitesoil]

Week 14 : Confusion Matrix / Standardization, Normalization, Regularization / Data Preprocessing

기한 : 1월 14일

정초이

Confusion Matrix

• True Positives
• False Negatives
• False Positives
• True Negatives
• Error, Accuracy
• True Positive Rate, False Positive Rate
• Precision, Recall
• F1-score
• The Scoring metrics for multiclass classification

남궁선

Data Preprocessing

• Missing data
• Categorical data
• Unbalanced data set
• Multicollinearity
• Outlier
• Date scaling

조민지

Mathmatics

• Standardization
• Normalization
  • Batch Normalization
• Regularization
  • L1 Regularization
  • L2 Regularization

수식과 그 의미 그리고 활용법이 가장 중요합니다.