Evaluation metrics: leave your comfort zone and try MCC and Brier Score

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Machine learning instead is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Data scientist around the world apply machine learning in order to build models able to predict future events, cluster people/objects into similar groups and also identify unexpected anomalies. Every enthusiastic data scientist knows that the most exciting part of machine learning is to choose the coolest algorithm capable of solve the problem of interest (Supervised or Unsupervised).