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Table 9 Biology

From: CatBoost for big data: an interdisciplinary review

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]