The dataset is designed for predicting whether a student will pass or fail an exam based on the number of study hours and their scores in the previous exam.

Features:
Study Hours (numeric): Represents the number of hours a student spent studying for the upcoming exam.
Previous Exam Score (numeric): Indicates the student's score in the previous exam.
Pass/Fail (binary): The target variable, where 1 represents a pass and 0 represents a fail in the current exam.

**Description: **

Features:
Study Hours (numeric): Represents the number of hours a student spent studying for the upcoming exam.
Previous Exam Score (numeric): Indicates the student's score in the previous exam.
Pass/Fail (binary): The target variable, where 1 represents a pass and 0 represents a fail in the current exam.
Dataset Size:
The dataset consists of data for 500 students, ensuring a diverse range of study patterns and previous exam performances.