# Chaitanya — Data

来源：https://www.kaggle.com/competitions/chaitanya2025/data

采集时间：2026-10-19T23:42:42Z



Welcome to the **SolarSpectra Dataset** — a simulated dataset designed to mirror real-world solar panel performance under diverse environmental and physical conditions.

Your goal is to predict each panel’s **energy conversion efficiency (%)** based on a mixture of numeric, categorical, and textual data collected from solar installations.

The dataset includes **nonlinear dependencies**, **mild feature correlations**, and **domain drift** between training and test data to simulate real-world variability. Some features may contain **missing values** or **less informative patterns**, challenging you to build a robust, generalizable model.



### 📁 **Files**

| File                    | Description                                                                        |
| ----------------------- | ---------------------------------------------------------------------------------- |
| `train.csv`             | The training set, containing both features and the target variable (`efficiency`). |
| `test.csv`              | The test set for which you must predict `efficiency`.                              |
| `sample_submission.csv` | A sample of the expected submission format.                                        |