Keyphrases
Feature Selection
100%
Grey Wolf Optimization
100%
Wrapper Method
100%
Classification Accuracy
66%
K-nearest
66%
Informative Features
66%
Testing Data
33%
Statistical Analysis
33%
Training Data
33%
Classification Problem
33%
Selected Features
33%
Problem-based
33%
High Dimension
33%
High Classification Accuracy
33%
Particle Swarm Optimization Algorithm
33%
Euclidean Distance
33%
Overfitting
33%
Whale Optimization Algorithm
33%
Feature Selection Problem
33%
Outperformance
33%
Small Probability
33%
Sigmoid Function
33%
Exploitation Ability
33%
Bat Algorithm
33%
K-fold Cross-validation
33%
Continuous Search Space
33%
Data Mining Process
33%
Flower Algorithm
33%
Modern Algorithms
33%
Multi-verse Optimization Algorithm
33%
Computer Science
Feature Extraction
100%
Feature Selection
100%
Classification Accuracy
75%
Large Data Set
25%
Euclidean Distance
25%
Classification Problem
25%
Fold Cross Validation
25%
High Dimensionality
25%
Nearest Neighbors Classifier
25%
Search Space
25%
Quality Solution
25%
Whale Optimization Algorithm
25%
Small Probability
25%
Bat Algorithm
25%
particle swarm optimization algorithm
25%
Sigmoid Activation Function
25%
Data Mining Process
25%
Mathematics
Nearest Neighbor
100%
Probability Theory
50%
Classification Problem
50%
Euclidean Distance
50%
Statistical Analysis
50%
Cross-Validation
50%
Search Space
50%
Particle Swarm Optimization
50%
Data Mining Process
50%
Sigmoid Function
50%
Engineering
Feature Extraction
100%
Classification Accuracy
75%
Nearest Neighbor
50%
Dimensionality
50%
Euclidean Distance
25%
Classification Problem
25%
Search Space
25%
Sigmoid Function
25%
Neighbor Classifier
25%
Particle Swarm Optimization
25%