The Right Amount of Wrong: Calibrating Predictive Models

graph showing predicted versus actual win percentage

The Right Amount of Wrong: Calibrating Predictive Models How do we evaluate a predictive model? The most intuitive answer is accuracy—a simple measure of what percent of the time your model’s prediction is correct. Accuracy is a widely used evaluation metric, largely because it’s so easy to understand. However, a Continue reading The Right Amount of Wrong: Calibrating Predictive Models

The Mathematics Behind Ballet

Three pairs of pointe shoes

When someone mentions the word “ballet,” we often think: creativity, an art form, or a form of dancing. However, I have learned that while ballet heavily uses the right side of the brain (creativity), you still need to use the left side (analytical) just as much. While you aren’t solving Continue reading The Mathematics Behind Ballet

Fitness Trackers’ Ethical Use of Data

fitness tracker on wrist

Fitness trackers have been flourishing in recent years. As our society continues to emphasize health and fitness, an increasing number of people seek to monitor their health and fitness data with such trackers. According to the National Institute of Health, 21% of Americans wear fitness trackers daily,  which amounts to Continue reading Fitness Trackers’ Ethical Use of Data