# Anomaly detection in 4G cellular networks — Data

来源：https://www.kaggle.com/competitions/anomaly-detection-in-4g-cellular-networks/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

The dataset is split into training (~80%) and test (~20%) subsets provided as two separate CSV files.<p>
-	The training set: ML-MATT-CompetitionQT2021_train.csv contains 36,904 samples, each having 13 features and a label. Note that there may be erroneous samples and outliers.<p>
-	The test set: ML-MATT-CompetitionQT2021_test.csv contains 9,158 samples following the same structure as the training set but not including the labels. <p>

You will have to upload the predictions for the test set and Kaggle will compare your predictions with the ground-truth labels in order to compute a score.