Invoice Payment Prediction

Data mining project to predict late payment using decision tree algorithms. The problem was modeled in three steps:

1. Classification of payment of invoices between: on time and late;
2. Classification of late payment of invoices between: in the due month and later;
3. Estimated number of days overdue for overdue invoices.

Installation

pip install -r requirements.tx

Supported Estimators

Classifier

• sklearn.ensemble.AdaBoostClassifier
• sklearn.ensemble.BaggingClassifier
• imblearn.ensemble.BalancedBaggingClassifier
• sklearn.ensemble.GradientBoostingClassifier
• imblearn.ensemble.BalancedRandomForestClassifier
• sklearn.ensemble.RandomForestClassifier
• imblearn.ensemble.RUSBoostClassifier
• xgboost.XGBClassifier

Regressor

• sklearn.ensemble.AdaBoostRegressor
• sklearn.ensemble.BaggingRegressor
• sklearn.ensemble.GradientBoostingRegressor
• sklearn.ensemble.RandomForestRegressor
• xgboost.XGBRegressor

Feature Selection

python model.py --step=<STEP_NUMPER> --action=selection --estimator=<ESTIMATOR_MODULE>

Grid Search CV

python model.py --step=<STEP_NUMPER> --action=tuning --estimator=<ESTIMATOR_MODULE>

Train

python model.py --step=<STEP_NUMPER> --action=train --estimator=<ESTIMATOR_MODULE>

Test

python model.py --step=<STEP_NUMPER> --action=test --estimator=<ESTIMATOR_MODULE>

Citation

If this project helped in any way in your research work, feel free to cite the following paper.

Predição de Pagamentos Atrasados Através de Algoritmos Baseados em Árvore de Decisão (here)

@article{10.25286/repa.v6i5.1746,
    author    = {Neto, Arthur F. S. and Silva, José F. G. da and Oliveira, Glauber N. de},
    title     = {Predição de Pagamentos Atrasados Através de Algoritmos Baseados em Árvore de Decisão},
    journal   = {Revista de Engenharia e Pesquisa Aplicada (REPA)},
    pages     = {1-10},
    month     = {11},
    year      = {2021},
    volume    = {6},
    number    = {5},
    url       = {https://doi.org/10.25286/repa.v6i5.1746},
    doi       = {10.25286/repa.v6i5.1746},
}