# Company Bankruptcy Prediction — Data

来源：https://www.kaggle.com/competitions/company-bankruptcy-prediction/data

采集时间：2026-10-19T15:03:22Z

The purpose of the bankruptcy prediction is to assess the financial condition of a company and its future perspectives within the context of longterm operation on the market

## Data Set Information:

The dataset is about bankruptcy prediction of Polish companies. The data was collected from Emerging Markets Information Service, which is a database containing information on emerging markets around the world. The bankrupt companies were analyzed in the period 2000-2012, while the still operating companies were evaluated from 2007 to 2013.

## KPIs:

The performance of the competitors will be evaluated based on the F1 score. Higher F1 score will be ranked higher in the final ranking

## Files

*   **train.csv** - the training set that includes labels (1 means bankruptcy, 0 means not bankruptcy)
*   **test.csv** - the test set that do not include labels
*   **sample_submission.csv** - a sample submission file in the correct format
*   **metaData.csv** - supplemental information about the data

## Columns
* `net profit / total assets`
* `total liabilities / total assets`
* `working capital / total assets`
* `current assets / short-term liabilities`
* `[(cash + short-term securities + receivables - short-term liabilities) / (operating expenses - depreciation)] * 365`
* `retained earnings / total assets`
* `EBIT / total assets`
* `book value of equity / total liabilities`
* `sales / total assets`
* `equity / total assets`
* `(gross profit + extraordinary items + financial expenses) / total assets`
* `gross profit / short-term liabilities`
* `(gross profit + depreciation) / sales`
* `(gross profit + interest) / total assets`
* `(total liabilities * 365) / (gross profit + depreciation)`
* `(gross profit + depreciation) / total liabilities`
* `total assets / total liabilities`
* `gross profit / total assets`
* `gross profit / sales`
* `(inventory * 365) / sales`
* `sales (n) / sales (n-1)`
* `profit on operating activities / total assets`
* `net profit / sales`
* `gross profit (in 3 years) / total assets`
* `(equity - share capital) / total assets`
* `(net profit + depreciation) / total liabilities`
* `profit on operating activities / financial expenses`
* `working capital / fixed assets`
* `logarithm of total assets`
* `(total liabilities - cash) / sales`
* `(gross profit + interest) / sales`
* `(current liabilities * 365) / cost of products sold`
* `operating expenses / short-term liabilities`
* `operating expenses / total liabilities`
* `profit on sales / total assets`
* `total sales / total assets`
* `(current assets - inventories) / long-term liabilities`
* `constant capital / total assets`
* `profit on sales / sales`
* `(current assets - inventory - receivables) / short-term liabilities`
* `total liabilities / ((profit on operating activities + depreciation) * (12/365))`
* `profit on operating activities / sales`
* `rotation receivables + inventory turnover in days`
* `(receivables * 365) / sales`
* `net profit / inventory`
* `(current assets - inventory) / short-term liabilities`
* `(inventory * 365) / cost of products sold`
* `EBITDA (profit on operating activities - depreciation) / total assets`
* `EBITDA (profit on operating activities - depreciation) / sales`
* `current assets / total liabilities`
* `short-term liabilities / total assets`
* `(short-term liabilities * 365) / cost of products sold)`
* `equity / fixed assets`
* `constant capital / fixed assets`
* `working capital`
* `(sales - cost of products sold) / sales`
* `(current assets - inventory - short-term liabilities) / (sales - gross profit - depreciation)`
* `total costs /total sales`
* `long-term liabilities / equity`
* `sales / inventory`
* `sales / receivables`
* `(short-term liabilities *365) / sales`
* `sales / short-term liabilities`
* `sales / fixed assets`