地球资源数据云——数据资源详情
该数据集《Insurance Classification》主要用于多分类任务,数据形态以表格为主,应用场景偏向医疗健康。 题目说明:Predictive Modeling for Risk Assessment in Insurance 任务类型:表格多分类。 建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。 评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。 可用文件:insurance_classification.csv。 Here's a brief description for each column in the dataset: Age: Represents the age of the insured individual. Sex: Indicates the gender of the insured individual (male or female). BMI: Stands for Body Mass Index, a measure of body fat based on height and weight. Children: Denotes the number of children or dependents covered by the insurance policy.

该数据集《Insurance Classification》主要用于多分类任务,数据形态以表格为主,应用场景偏向医疗健康。 题目说明:Predictive Modeling for Risk Assessment in Insurance
任务类型:表格多分类。
建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。
评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。
可用文件:insurance_classification.csv。
Here's a brief description for each column in the dataset:
Age: Represents the age of the insured individual.
Sex: Indicates the gender of the insured individual (male or female).
BMI: Stands for Body Mass Index, a measure of body fat based on height and weight.
Children: Denotes the number of children or dependents covered by the insurance policy.