Figure 1
The horizontal axis is labeled “Model” and lists: “Random Forest”, “K N N”, “Light G B M”, “Gradient Boosting”, “X G Boost”, “Decision Tree”, “Deep Neural Network”, and “Linear Regression”. The vertical axis is labeled “Mean R M S E” and ranges from 0 to 10 in increments of 2 units. Each bar represents the mean R M S E for a model, with vertical error bars. The data from the bars are as follows: For Random Forest: 5.2 with error range 3.7 to 6.7. For K N N: 5.3 with error range 3.8 to 6.8. For Light G B M: 5.5 with error range 4.0 to 7.0. For Gradient Boosting: 5.6 with error range 3.9 to 7.2. For X G Boost: 6.0 with error range 4.2 to 7.8. For Decision Tree: 7.4 with error range 4.8 to 9.9. For Deep Neural Network: 7.7 with error range 6.0 to 9.4. For Linear Regression: 8.8 with error range 7.5 to 10.1. Note: All numerical values are approximated.Model comparison. Source: Authors’ own work