Figure 2.
The stacked bar chart has a vertical scale from 0 to 160 in intervals of 20. Nine models appear from left to right as X G Boost, CatBoost, Random Forest, Support Vector Machines, Gradient Boosting, Decision Tree, Regression Model, Artificial Neural Network, and Convolutional Neural Networks. The table below lists 13 factors and their values in this model order. Risk Assessment, labelled 23, has values 8, 8, 4, 6, 7, 12, 16, 19, and 15. Trust, labelled 17, has values 7, 7, 6, 4, 5, 4, 7, 6, and 5. Efficiency, labelled 16, has values 6, 5, 7, 9, 9, 7, 12, 11, and 14. Decision Making, labelled 16, has values 5, 6, 9, 11, 10, 12, 9, 10, and 13. Variable Integration, labelled 14, has values 4, 7, 13, 11, 9, 11, 11, 11, and 8. Interpretability, labelled 10, has values 5, 10, 8, 6, 8, 9, 8, 9, and 7. Accuracy of Valuation, labelled 12, has values 6, 11, 5, 10, 7, 11, 7, 10, and 9. Socio Demographic Factors, labelled 13, has values 4, 9, 9, 6, 9, 8, 9, 8, and 7. Customisation, labelled 33, has values 5, 12, 5, 7, 6, 5, 14, 11, and 13. Predictive Analytics, labelled 16, has values 6, 8, 7, 11, 8, 7, 11, 14, and 8. Market Dynamics, labelled 31, has values 10, 5, 7, 8, 6, 5, 8, 6, and 5. Real Estate Features, labelled 29, has values 5, 6, 4, 14, 16, 18, 13, 11, and 9. Affordability, labelled 15, has values 7, 8, 5, 4, 8, 9, 11, 13, and 12.Thematic distribution with stakeholders’ needs of AI techniques in real estate from SLR data set