Name: Student Exam Performance Prediction
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Student Exam Performance Prediction

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.

**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.

Tables

Student Exam Data

@kaggle.mrsimple07_student_exam_performance_prediction.student_exam_data

12.25 kB
500 rows
3 columns

CREATE TABLE student_exam_data (
  "study_hours" DOUBLE,
  "previous_exam_score" DOUBLE,
  "pass_fail" BIGINT
);

Student Exam Data New

@kaggle.mrsimple07_student_exam_performance_prediction.student_exam_data_new

12.25 kB
500 rows
3 columns

CREATE TABLE student_exam_data_new (
  "study_hours" DOUBLE,
  "previous_exam_score" DOUBLE,
  "pass_fail" BIGINT
);