bankruptcy-data-exp
所属分类:金融证券系统
开发工具:Jupyter Notebook
文件大小:78767KB
下载次数:9
上传日期:2022-01-08 20:39:19
上 传 者:
sh-1993
说明: 破产数据exp,机器学习模型预测公司状况的探索、分析和应用
(bankruptcy-data-exp,Exploration, analysis and application of machine learning models to predict companies status)
文件列表:
LICENSE (1065, 2022-01-09)
api (0, 2022-01-09)
api\api (0, 2022-01-09)
api\api\__init__.py (0, 2022-01-09)
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api\api\settings.py (3219, 2022-01-09)
api\api\urls.py (340, 2022-01-09)
api\api\wsgi.py (383, 2022-01-09)
api\core (0, 2022-01-09)
api\core\__init__.py (0, 2022-01-09)
api\core\admin.py (63, 2022-01-09)
api\core\apps.py (83, 2022-01-09)
api\core\data_preprocessing.py (3397, 2022-01-09)
api\core\migrations (0, 2022-01-09)
api\core\migrations\__init__.py (0, 2022-01-09)
api\core\models.py (57, 2022-01-09)
api\core\tests.py (60, 2022-01-09)
api\core\urls.py (214, 2022-01-09)
api\core\views.py (7079, 2022-01-09)
api\db.sqlite3 (131072, 2022-01-09)
api\manage.py (659, 2022-01-09)
api\media (0, 2022-01-09)
api\media\test_file.csv (448951, 2022-01-09)
api\static (0, 2022-01-09)
api\static\best_model (0, 2022-01-09)
api\static\best_model\gbm.sav (2714309, 2022-01-09)
api\static\best_model\lda.sav (3487, 2022-01-09)
api\static\best_model\lr.sav (1249, 2022-01-09)
api\static\best_model\mlp.sav (171919, 2022-01-09)
api\static\best_model\rf.sav (15028265, 2022-01-09)
api\static\best_model\scaler.sav (1947, 2022-01-09)
api\static\best_model\svm.sav (2268560, 2022-01-09)
api\static\best_model\ulr.sav (995, 2022-01-09)
api\static\best_model\umlp.sav (99495, 2022-01-09)
api\static\best_model\uscaler.sav (1194, 2022-01-09)
api\static\core (0, 2022-01-09)
api\static\core\base.css (2581, 2022-01-09)
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# bankruptcy-data-exp
**The dataset is provided by Sebastian Tomczak and collected from Emerging Markets Information Service ([EMIS](https://www.emis.com/)) :
https://archive.ics.uci.edu/ml/datasets/Polish+companies+bankruptcy+data**
***STARTER BELLOW***
The dataset is about bankruptcy prediction of Polish companies. In theses datasets, we retrieve information about emerging markets around the word (or Poland, who knows ?). A dataset is composed of thousands of rows where each row corresponds to a company. The attribute about theses companies is given in data/description.txt file. Here, is a sample of what we can have in a dataset :