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Computer Science
Ensemble Learning
100%
Interpretable Machine Learning
100%
XGBoost
66%
Learning Technique
50%
SHapley Additive exPlanation
50%
Random Decision Forest
33%
Feature Space
33%
Machine Learning Model
33%
Catboost
33%
Correlation Analysis
16%
Prediction Accuracy
16%
Decision Model
16%
Density Functional Theory
16%
Decision-Making
16%
Training Data
16%
Relative Importance
16%
Intrinsic Property
16%
Earth and Planetary Sciences
Perovskites
100%
Interpretable Machine Learning
100%
Ensemble Learning
100%
Xgboost
66%
SHapley Additive exPlanation
50%
Elasticity
33%
Bulk Modulus
33%
Catboost
33%
Machine Learning Model
33%
Shear Modulus
16%
Feature Representation
16%
Density Functional Theory
16%
Decision Making
16%
Ground State
16%
Material Science
Mechanical Property
100%
Xgboost
100%
Interpretable Machine Learning
100%
Elastic Moduli
75%
Young's Modulus
50%
Density
50%
Elasticity
50%
Mathematics
Input Feature
100%
Xgboost
80%
Feature Space
40%
Elasticity
40%
Decision Model
20%
Training Data
20%
Collinearity
20%
State Energy
20%
Coefficient of Determination (R2)
20%
Density Functional
20%
Correlation Analysis
20%
Test Data
20%
Intrinsic Property
20%
Relative Importance
20%
Ground State
20%
Shear Modulus
20%
Chemistry
Statistical Ensemble
100%
Mechanical Property
100%
Xgboost
66%
Elasticity Constant
33%
Bulk Modulus
33%
Ground State
16%
First Principle
16%
Modulus of Elasticity
16%
Density Functional Theory
16%
Shear Modulus
16%