· Xiaojing Yang · Machine Learning
Bias–Variance Trade-off in Machine Learning
A practical diagnosis map for underfitting, overfitting, model complexity, and generalization.
Tag: Model Evaluation
- · Xiaojing Yang · Statistics
Confidence Intervals: Why One Score Is Not Enough
A model score without uncertainty is easy to read but easy to overtrust.
- · Xiaojing Yang · Machine Learning
Cross-Validation for Model Evaluation
Why one split is fragile, how K-fold works, and when cross-validation can mislead in NLP.
- · Xiaojing Yang · Statistics
Effect Size: Statistical Significance Is Not Enough
A statistically significant result can still be too small to matter in research or deployment.
- · Xiaojing Yang · Machine Learning
Feature Engineering vs Representation Learning
How traditional ML features connect to embeddings, neural networks, and modern NLP systems.
- · Xiaojing Yang · Machine Learning
Grid Search and Randomized Search
How to tune hyperparameters without confusing search effort with scientific evidence.