Search alternatives:
significant challenges » significant challenge (Expand Search), significant changes (Expand Search), significant change (Expand Search)
challenges decrease » challenges case (Expand Search)
significant forest » significant force (Expand Search), significant progress (Expand Search), significant interest (Expand Search)
forest regression » process regression (Expand Search), ols regression (Expand Search), tobit regression (Expand Search)
significant challenges » significant challenge (Expand Search), significant changes (Expand Search), significant change (Expand Search)
challenges decrease » challenges case (Expand Search)
significant forest » significant force (Expand Search), significant progress (Expand Search), significant interest (Expand Search)
forest regression » process regression (Expand Search), ols regression (Expand Search), tobit regression (Expand Search)
-
61
-
62
-
63
-
64
-
65
-
66
-
67
Correlation heatmap with significance.
Published 2025“…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …”
-
68
-
69
-
70
-
71
Feature importance for Random Forest and XGBoost Models.
Published 2025Subjects: “…specifically logistic regression…”
-
72
Feature weight values in the Random Forest model.
Published 2025Subjects: “…specifically logistic regression…”
-
73
-
74
-
75
-
76
-
77
Accuracy Results from Random Forest and Binary Logistic Regression Models by Data Types.
Published 2025Subjects: -
78
-
79
-
80