Arbitrary semantic understanding technology is widely researched in the application of intelligent technologies such as educational big data and cloud computing. Many researchers use data mining, ...

The aim of the study is to improve the accuracy and specificity in skin lesion classification in dermoscopic images using Support Vector Machine (SVM) compared with random forest method. Machine ...

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This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup ...

Random Forest (RF) enhances predictive accuracy by aggregating multiple decision trees, effectively capturing complex, non-linear relationships (Wang et al., 2024; Jyolsna et al., 2021). Support ...