Exact(10)
The performance reported here is based on test set errors.
This second set of parameters provided on average smaller training and validation set errors and calculated models with the smaller number of support vectors.
Therefore, we set errors of vertical displacements (eh i ) to be three times of uncertainty of change in baseline length (i.e., eh i = 3ex i = 3ey i ).
Using the full test set, errors range from 42 to 43.5, but the RF and SVM have a similar score using less than 5% of the pixels as training.
On the other hand, excessive cost and/or insufficient epsilon not only make the computations overly time-consuming but also gives rise to a risk for overfitting, indicated by decreasing training set errors but suboptimal predictive performance.
The use of the mixture distributions fitted to the training set affords a significantly better assessment of the test set errors as compared to the assumption of identical distribution of errors in training and test sets.
Similar(49)
(D) Observed and predicted training set error rate distributions for Model logP3-1b.
Table 2 Results with different combinations of training set validation set in study site Chitwan Training set Error stat.
Table 1 Results with different combinations of training set validation set in study site Gorkha Training set Error stat.
In RF method, there is no need for cross-validation or a separate test set to get an unbiased estimate of the test set error [37].
While AdaBoost was designed to decrease training set error, some have argued that instead it primarily reduces weak learner variance.
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