Keyphrases
Machine Learning Models
100%
Carbon Emissions
100%
K-nearest
100%
CO2 Emissions
100%
Machine Learning Algorithms
66%
Politicians
33%
China
33%
Population Size
33%
Decision Tree
33%
Prediction Accuracy
33%
Least Squares Support Vector Regression (LSSVR)
33%
Energy Use
33%
Coefficient of Determination
33%
Higher Coefficients
33%
Decision Tree Model
33%
Timely Manner
33%
Random Forest
33%
Urbanization
33%
Time Efficiency
33%
Adaptive Boosting
33%
Cross-validation Method
33%
Decision Tree Algorithm
33%
Random Forest Algorithm
33%
Random Forest Regression
33%
Extreme Gradient Boosting(XGBoost)
33%
Quarterly Data
33%
Optimal Hyperparameters
33%
Quality Patterns
33%
Neighborhood Model
33%
Neighbor-joining Tree
33%
Quality Forecasting
33%
Engineering
Random Forest
100%
Learning System
100%
Nearest Neighbor
100%
Machine Learning Algorithm
66%
Energy Engineering
33%
Input Parameter
33%
Accurate Prediction
33%
Policymakers
33%
Model Tree
33%
Support Vector Machine
33%
Chemical Engineering
Learning System
100%
Carbon Dioxide
75%
Support Vector Machine
25%