Keyphrases
Voting Classifier
100%
Phishing URLs
100%
Ensemble Machine Learning Model
100%
Prediction Accuracy
75%
Model Driven Architecture
50%
Mean Squared Error
50%
Ensemble Model
50%
Gradient Boosting Classifier
50%
Computational Cost
25%
Identity Theft
25%
Prominent Features
25%
Classification Algorithms
25%
Clustering Algorithm
25%
Internet Users
25%
Hyperparameters
25%
Detection Method
25%
Mean Absolute Error
25%
K-means
25%
State-of-the-art Technology
25%
Number of Features
25%
Preprocessor
25%
Phishing
25%
Ensemble Methods
25%
Feature Selection Methods
25%
Heuristic-based
25%
Cyber-attacks
25%
Parameter Combination
25%
K-fold Cross-validation
25%
Best Parameters
25%
Social Engineering Attacks
25%
Attack Vectors
25%
Percentage Split
25%
Malicious Threats
25%
Malicious URL
25%
Stacking Ensemble Model
25%
Robust Machine Learning
25%
Supervised Techniques
25%
Cybersecurity Industry
25%
Voting Ensemble
25%
Subword
25%
Unsupervised Techniques
25%
Reliability Prediction
25%
Lower Error Rates
25%
Criteria Parameters
25%
NLP.
25%
Computer Science
Prediction Accuracy
100%
Machine Learning
100%
Learning System
100%
Model Architecture
66%
Cybersecurity
33%
Feature Selection
33%
Mean Absolute Error
33%
Fold Cross Validation
33%
Cyber Attack
33%
Preprocessors
33%
Identity Theft
33%
Social Engineering Attack
33%
Malicious Threat
33%
Ensemble Technique
33%
Word Splitting
33%
Preprocessing Time
33%
Supervised Technique
33%
Unsupervised Technique
33%
k-means Clustering
33%
Classifier Model
33%
Computational Cost
33%
Classification Algorithm
33%
Clustering Algorithm
33%
Detection Process
33%
Feature Extraction
33%
Leaning Parameter
33%