# (Deprecated)Crime Category Classification using DR — Data

来源：https://www.kaggle.com/competitions/bigdata2019f-dt-crime-mcl/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

This dataset contains incidents derived from SFPD Crime Incident Reporting system. The data ranges from 1/1/2003 to 5/13/2015. The training set and test set rotate every week, meaning week 1,3,5,7... belong to test set, week 2,4,6,8 belong to training set. 

The classification goal is to predict the category of crime that occurred.
File descriptions
-----------------
 - **crime_train.csv** - the training set 
 - **crime_test.csv** - the test set
 - **crime_sample_submission.csv** - a sample submission file in the correct format. **Note that the prediction should be a probability for each category instead of one hot scheme (e.g., [0.1, 0.6, 0.3], not [0, 1, 0] for three categories).**

## Data fields ##

- **Dates**: timestamp of the crime incident
- **Category**: category of the crime incident (only in train.csv). **This is the target variable you are going to predict.**
- **Descript**: detailed description of the crime incident (only in train.csv)
- **DayOfWeek**:  the day of the week
- **PdDistrict**: name of the Police Department District
- **Resolution**: how the crime incident was resolved (only in train.csv)
- **Address**: the approximate street address of the crime incident 
- **X**: Longitude
- **Y**: Latitude