Computer Science
Machine Learning
100%
Learning System
100%
Multilayer Perceptron
100%
Classification Models
100%
Extreme Gradient Boosting
100%
Mean Absolute Error
100%
Gradient Boosting
100%
Experimental Result
50%
Machine Learning Technique
50%
Random Decision Forest
50%
classification approach
50%
Decision Tree Model
50%
adaptive boosting
50%
Matthews Correlation Coefficient
50%
Preprocessing Step
50%
Support Vector
50%
Engineering
Learning System
100%
Regressors
100%
Quality Index
100%
Search Method
100%
Metrics
40%
Perceptron
40%
Mean Square Error
20%
Experimental Result
20%
Machine Learning Technique
20%
Nearest Neighbor
20%
Support Vector Machine
20%
Absolute Error
20%
Random Forest
20%
Mean Absolute Error
20%
Industrial Plant
20%
Mathematics
Prediction Quality
100%
Regressors
100%
Regression Model
60%
Multilayer Perceptron
40%
Absolute Error
40%
Mean Square Error
20%
Decision Tree
20%
Support Vector Machine
20%
Nearest Neighbor
20%
correlation coefficient ρ
20%
Coefficient of Determination (R2)
20%
Data Normalization
20%
Chemical Engineering
Learning System
100%
Multilayer Neural Networks
66%
Support Vector Machine
33%