Further reading

• Choosing the Right Metric for Evaluating Machine Learning Models—Part 1: https://medium.com/usf-msds/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4
• Understand Regression Performance Metrics: https://becominghuman.ai/understand-regression-performance-metrics-bdb0e7fcc1b3
  
• Classification Performance Metrics: https://nlpforhackers.io/classification-performance-metrics/

• REGULARIZATION: An important concept in Machine Learning: https://towardsdatascience.com/regularization-an-important-concept-in-machine-learning-5891628907ea
• An Overview of Regularization Techniques in Deep Learning (with Python code): https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques
• Understanding the Bias-Variance Tradeoff: https://towardsdatascience.com/understanding-the-bias-variance-tradeoff-165e6942b229
• Deep Learning...