Sports Training Dataset

This dataset is designed to support research on personalized sports training systems, with a focus on improving college athletes' performance. The data is collected from wearable sensors monitoring various physical metrics during training sessions. The dataset includes athlete information, session details, wearable sensor metrics, derived performance scores, and the target output, which classifies performance into four categories: Excellent, Good, Average, and Needs Improvement.

Columns:
Athlete_ID: A unique identifier for each athlete.
Age: The age of the athlete (in years).
Gender: The gender of the athlete (Male/Female).
Sport_Type: The type of sport the athlete participates in (e.g., Football, Basketball, Track).
Session_ID: A unique identifier for each training session.
Date: The date of the training session.
Session_Duration: The duration of the training session (in minutes).
Heart_Rate_Avg: The average heart rate during the session (in beats per minute).
Speed_Avg: The average speed during the session (in meters per second).
Distance_Covered: The total distance covered during the session (in meters).
Endurance_Score: A derived score reflecting the athlete's endurance based on heart rate and session duration (scaled 0–100).
Technique_Score: A derived score based on the athlete's movement technique (scaled 0–100).
Performance_Level: The target column, categorizing performance into one of four levels: Excellent, Good, Average, or Needs Improvement.