# Coder - WorkShop - Middle Term — Data

来源：https://www.kaggle.com/competitions/coder-work-shop-middle-term/data

采集时间：2026-10-19T19:03:36Z

The dataset for this competition (both train and test) was generated from a deep learning model trained on the [Predict Students' Dropout and Academic Success](https://archive.ics.uci.edu/dataset/697/predict+students+dropout+and+academic+success) dataset. Feature distributions are close to, but not exactly the same, as the original. Feel free to use the original dataset as part of this competition, both to explore differences as well as to see whether incorporating the original in training improves model performance. Please refer to the original dataset for feature feature explanations.

## Files

*   **train.csv** - the training dataset; `Target` is the categorical target
*   **test.csv** - the test dataset; your objective is to predict the class of `Target` for each row
*   **sample_submission.csv** - a sample submission file in the correct format