IBM Watson Analytics Sample Data

该数据集包含了1101名员工的信息，每位员工有27个特征和一个标签，这些数据被用来建立一个多层感知器预测模型。此外，该数据集被分为80%的训练集和20%的测试集，旨在预测员工流失情况，并生成降低流失率的策略。规模上，数据涵盖了1101名员工。任务目标是预测员工流失并制定相应的减少流失率措施。

Comprising 1101 employee samples in total, this dataset includes 27 features and one label for each employee, and is utilized to build a multi-layer perceptron prediction model. The dataset is divided into an 80% training subset and a 20% test subset, aiming to predict employee attrition and generate strategies for reducing attrition rate. The core task of this dataset is to predict employee attrition and develop corresponding measures to lower attrition rates.