Skip to content

The materials in this repository are companion pieces to an article describing the predictive models for tax revenue forecasting based on official tax data from kgd.gov.kz.

Notifications You must be signed in to change notification settings

Absicorp/tax-revenue-forecasting

Repository files navigation

Tax revenue forecasting

The materials in this repository are companion pieces to an article describing the predictive models for tax revenue forecasting based on official tax data from kgd.gov.kz.

Table of contents

Authors

Vladimir Kolesnikov — Senior Data Scientist at Sber

Abylaykhan Yergesh — Junior Data Scientist at Sber

Valeriya Rudikova — Junior Data Scientist at Sber

Requirements

Python 3.8 version or above

silverkyte==0.2.0

fbprophet==0.7.1

Other installation options are described in the documentation.

Documentation

The full documentation for silverkite available at https://github.com/linkedin/greykite.

The full documentation for fbprophet available at https://github.com/facebook/prophet.

Results

results

model name MAPE R2 q_test(a=0.05) q_test_pvalue
arima 7,859 0,934 0,007 0,93
fbprophet 5,668 0,953 1,21 0,269
silverkite 3,958 0,984 0,095 0,756

About

The materials in this repository are companion pieces to an article describing the predictive models for tax revenue forecasting based on official tax data from kgd.gov.kz.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published