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Computer Science
Logistic Regression
100%
Nave Bayes
66%
Stacking Approach
50%
Independent Component Analysis
50%
Random Decision Forest
41%
Gene Expression Data
25%
Data Classification
25%
Classification Performance
25%
Support Vector Machine
25%
Machine Learning
22%
Learning System
22%
Machine Learning Algorithm
19%
Secondary School
16%
Intrinsic Motivation
16%
School Achievement
16%
Component Analysis
16%
Longitudinal Data
16%
Performance Factor
16%
Bioinformatics
11%
Algorithm Performance
11%
Training Data
8%
Demographic Factor
8%
Machine Learning Technique
8%
Principal Component
8%
Estimated Probability
8%
Influencing Factor
8%
Statistical Classification
7%
Classification Accuracy
6%
Base Classifier
6%
Principle Component Analysis
6%
Social Sciences
Logit Model
50%
Random Forest
50%
Student Performance
50%
Learning Method
29%
Logistic Regression Analysis
25%
Cooperative Learning
25%
Medical Student
16%
Order Thinking Skill
16%
Radiation Effect
16%
Machine Learning Algorithm
8%
Dropout Rate
8%
Demographic Factor
8%
Intrinsic Motivation
8%
Demographic Statistics
8%
Support Services
8%
School Type
8%
Educational Environment
8%
Secondary School
8%
Authors
8%
Research Approach
8%
Size Effect
8%
Mathematics
Dimensionality Reduction
50%
Logistic Regression
50%
Nave Bayes
33%
Principal Component Analysis
25%
Support Vector Machine
25%
Balanced Data
8%
Unbalanced Data
8%
Sequential Method
8%
Roc Curve
8%
Independent Component
8%
Input Feature
8%
Data Mining
8%
Statistical Analysis
8%
Estimated Probability
8%
Regression Result
6%
