Abstract: Random Forest is a well-known type of ensemble learning, which combines a number of decision trees to improve the prediction ability and reduce the risk of overfitting. This paper aims at ...

Three large pythons were spotted in Forest Park, Queens earlier this week. So far, only one of them has been caught. Animal rescuer Meagan Licari recovered the 4-foot ball python. "We named him Kevin.

Abstract: Multi-class classification presents a significant challenge in supervised machine learning, and it is frequently applied across various real-world domains. Random Forest (RF) stands out as a ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

Objectives: This study proposes to construct a model to replace the on-road test and provide a bundled assessment on the driving function of stroke patients. Methods: Clinical data were collected from ...

This was a match in which Nottingham Forest’s core of England hopefuls will have been desperate to deliver a performance to convince manager Thomas Tuchel he had ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...