Statistics is the science of analyzing data.
Once we have built a prediction model, it’s crucial to evaluate its reliability.
After all, a prediction is only valuable if it can be trusted.
We will begin with basic descriptive statistics.
Descriptive statistics summarize key features of a data set, including:
This is a great starting point to understand the data better.
In Python, we can use the describe() function to summarize the data.
| print (full_health_data.describe()) |
Output:
