Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

An improved random forest node splitting algorithm is proposed in this paper for improving the accuracy of image classification. By recombining the mode of attribute splitting in random forests ID3 ...

Project Description Predict the forest cover type using cartographic and environmental features from the UCI Covertype dataset. Tree-based models like Decision Tree, Random Forest, and XGBoost are ...

With the development of science and technology, machine learning is gradually applied to the field of insurance to cope with the complex insurance fraud that is difficult to identify by traditional ...

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