Missing value imputation and the effect of feature normalisation on financial distress prediction

Keyphrases

• Missing Value Imputation 100%
• Financial Distress Prediction 100%
• Feature Normalization 100%
• Prediction Model 50%
• Machine Learning Techniques 50%
• Deep Neural Network 50%
• Feature Value 50%
• Imputation Model 50%
• Neural Network Method 25%
• Model Performance 25%
• K-nearest 25%
• Support Vector Machine Classifier 25%
• Classification Methods 25%
• Range of Values 25%
• Deep Learning Methods 25%
• Random Forest Classifier 25%
• Second Best 25%
• Type II Error 25%
• Miss Rate 25%
• Traditional Machine Learning 25%
• Total Liabilities 25%
• Earnings per Share 25%
• Equity Ratio 25%
• Random Forest Imputation 25%

Computer Science

• Feature Normalization 100%
• Prediction Model 50%
• Machine Learning Technique 50%
• Deep Neural Network 50%
• Experimental Result 25%
• Support Vector Machine 25%
• Deep Learning Technique 25%
• Classification Technique 25%
• Random Decision Forest 25%
• Neighbor Method 25%
• Random Forest Classifier 25%

Mathematics

• Missing Value 100%
• Deep Neural Network 66%
• Feature Value 66%
• Support Vector Machine 33%
• Performance Model 33%
• Type II error 33%
• Nearest Neighbor Method 33%