The results revealed that Jung's method exhibited the highest prediction accuracy among the four methods, being the relative deviations between the predicted and measured values within 1% and 5% for gravimetric moisture content and dry density, respectively.
By the risk table, MDR can predict disease risk and will select the SNP combination with the highest prediction accuracy.
Another optimum landslide susceptibility map with the highest prediction accuracy was also selected from a limited number of landslide factors.
Comparison with the well-known existing model shows that the new model has the highest prediction accuracy.
The optimized model constructed using C4.5 for disease severity has the highest prediction accuracy, lowest misclassification error rate of 80.8 and 19.1%, respectively.
Based on the highest prediction accuracy and LSI difference values, the best landslide susceptibility map from each combination group or from all combinations was selected.
Compared to other prediction models (e.g., simple indicators-based models and Pavement ME Design models), the developed models have the highest prediction accuracy.
The combination, with a limited number of landslide factors and the highest prediction accuracy of 87.7%, was found from a combination of slope, lithology, land use and distance from lineament.
This will help to suggest a limited number of landslide factors that can produce a susceptibility map with the highest prediction accuracy similar to a combination using all or most of the landslide factors.
Regardless of the evaluation metric used, Vina consistently gives the highest prediction accuracy at the R g to box size ratio of 0.35, which corresponds to the box size of 2.857 × R g.
Analyzing the results, we observe that the highest prediction accuracy is obtained when the video recordings acquired in controlled scenarios are used for both training and testing, more precisely when the number of training samples is the highest.
