From all these observations, we can conclude that though both probit and logit models have reasonably fair performances with the data sets used in this research, the ordered probit model is more preferred than the ordered logit one because of its higher degree of precision.
Evaluating performance with these data avoids the cost and complexity of new data collection.
We analyzed separately the BAs from the various experimental methods with enough data points (≥8) and compared the prediction performance with the full data set.
The loan performance associated with the data to date has been anomalous in a way that calls into question the accuracy of some of the initial data provided to us regarding the loan and borrower characteristics..
As can be seen, performance improves with the data set size, but doesn't change much with respect to the activation features dimension.
This would likely result in the same maximum SALI value for all data sets allowing more direct comparison s of model performance with the various data sets.
Meanwhile, the space diversity can be expected to improve the system performance with the cooperative data relaying.
A manuscript will accompany publication of the package, describing the analytical approaches embodied in the package, and demonstrating performance with the validation data.
The default parameters for CNVer, Breakdancer, CREST and GASV were used, whereas the default values of window_size and step_length parameters had to be slightly modified in SVdetect to obtain the best performance with the simulation data.
