Title | CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma |
Description | Classify kidney cancer images into instances of high-grade or low-grade cancer, presents opportunities for research at Big Data scale |
Performance metric | Used only CatBoost |
Winner | N/A |
Reference | [28] |
Title | diseases spread prediction in tropical areas by machine learning methods ensembling and spatial analysis techniques |
Description | Use CatBoost to predict spread of dengue fever |
Performance metric | Mean absolute error |
Winner | LSTM and XGBoost ensemble |
Reference | [27] |
Title | Performance analysis of boosting classifiers in recognizing activities of daily living |
Description | Compare CatBoost with XGBoost in ability to identify human physical activity types from sensor data |
Performance metric | f-measure |
Winner | Friedman stochastic gradient boosting, ada-decision trees |
Reference | [25] |