Students_Academic_ Performance_Evaluation_Dataset

31 features and 1195 individuals make up the publicly accessible dataset in a data repository. The Excel file that is part of the "Students Performance data set" folder contains the dataset. The 1195 rows and 31 columns of the Excel file provide information about the academic and non-academic data of the students. A student's question and response, gathered via an online survey form, are displayed in each row of an Excel file. The intended audience consisted of computer science and engineering department students at a private institution in Bangladesh.37,045 main data points were gathered via this survey. There are two categories of features: integer and nominal. Gender, merit scholarship, using university transportation, learning mode, English Skills, probation, suspension, faculty consultancy, relationship status, participation in extracurricular activities, living status political engagement, health issue, physical disability, SGPA, and CGPA are the nominal features. The HSC passing year, university admission year, study hours per day, frequency of study hours per day, social media time, and class attendance are the integer features. Based on the present CGPA, SGPA, class attendance, daily study hours, frequency of study, social media time, and English proficiency, the targeted column, "student status," has been chosen.该公开可获取的数据集存储于某数据仓库，共涵盖31项特征与1195条学生样本记录。隶属于“学生成绩数据集（Students Performance data set）”文件夹的Excel文件即承载该数据集。该Excel文件包含1195行与31列，记录了学生的学业与非学业相关信息。Excel文件的每一行均对应一份通过在线调查问卷收集的学生问答数据。本次调研的对象为孟加拉国某私立院校计算机科学与工程系的学生，共收集到37045条核心数据点。特征共分为两类：整型特征与标称型特征。其中标称型特征包括性别、优秀奖学金、校交通使用情况、学习模式、英语能力、留校察看处分、停学处分、教师咨询服务、恋爱状态、课外活动参与情况、居住状况、政治参与度、健康状况、身体残疾情况、学期平均绩点（SGPA）以及累计平均绩点（CGPA）；整型特征则包括高中会考（HSC）毕业年份、大学入学年份、每日学习时长、每日学习频次、社交媒体使用时长以及课堂出勤率。本次研究选取的目标列为“学生状态（student status）”，其选取依据为当前累计平均绩点（CGPA）、学期平均绩点（SGPA）、课堂出勤率、每日学习时长、学习频次、社交媒体使用时长以及英语能力。