Sentence examples for predicted classification from inspiring English sources

Calling the training function net.trainFcnin Matlab = 'trainscg', we conducted a predicted classification on the test sample set.

A one-stage solution is formulated that minimizes the marginal distribution differences while minimizing the predicted classification error in the target domain using a nearest neighbor classifier.

Here, we find the optimal parameters of RBF kernel function from easy.Py, which integrates with the module of grid.py, svm- train, svm-predict to realize the optimal parameter and the purpose of predicted classification.

The state of the art approach for estimating homogeneity is to record the average and % standard deviation of predicted classification scores (i.e. concentrations) for a given component within a specimen.

The method is based on (1) summation and unfolding of multidimensional predicted classification scores, which results in a Linear Image Signature (LIS) and (2) multivariate LIS data analysis (LIS-MVA).

The MCC describes the correlation between observed and predicted classification [ 12].

A confusion matrix includes information about actual and predicted classifications.

Conversely, those compounds whose predicted classifications were not true positives or true negatives were labeled as incorrectly classified compounds.

In the binary logistic regression analysis, the Hosmer-Lemeshow index suggested discrepancies between the observed and predicted classifications, meaning that 15percentt of the cases were classified wrongly by the model.

Second, the predicted classifications were compared with the true disease group for the glycosylation profile.

They can be obtained from the confusion matrix (Table 1), which contains information about actual and predicted classifications done by a classification system.