The paper shows the trade-offs between interpretability, computation cost and accuracy of many algorithms for fraud detection from machine learning perspective which provides important clues in this ...

XGBoost is used for predicting student dropout with multiple spliting variations [1]. The data itself is taken from Machine Learning repository [2]. It contains 3 catogory: Dropout, Graduate, and ...

Global agriculture is facing major challenges such as food security, sustainable water management, and the preservation of natural resources. Water scarcity, exacerbated by climate change, requires ...

crypto-regression/ │ ├── data/ │ └── kaggle/ # Raw input data from Kaggle │ ├── models/ │ └── saved_predictions/ # Output predictions by model │ ├── src/ │ ├── data_loader.py # Handles data import and ...