Predicting financial literacy via semi-supervised learning

Keyphrases

• Financial Literacy 100%
• Semi-supervised Learning 100%
• Financial Data 30%
• Regression Model 20%
• Literacy Level 20%
• Copyright 10%
• Switzerland 10%
• Person Ability 10%
• Intervention Program 10%
• Nonparametric 10%
• Springer Nature 10%
• Model Effectiveness 10%
• Unlabeled Data 10%
• Regressor 10%
• Classification Task 10%
• Imbalanced Data 10%
• Specific Interventions 10%
• Financial Profitability 10%
• Government Spending 10%
• Financial Networks 10%
• Gaussian Noise 10%
• Digital Currency 10%
• Social Harm 10%
• Comparator Model 10%
• Regression Algorithm 10%
• Semi-supervised Regression 10%
• Synthetic Minority 10%
• Oversampling Technique 10%

Computer Science

• Semisupervised Learning 100%
• Financial Literacy 100%
• Financial Data 30%
• Experimental Result 10%
• Unlabeled Data 10%
• Classification Task 10%
• Sampling Technique 10%
• Financial Network 10%
• Gaussian White Noise 10%
• Digital Currency 10%
• Comparator 10%