Sentence examples for classification modes from inspiring English sources

We describe a new hierarchy of Categorical Decisions Structures that distinguishes between screening, discrimination, and classification modes.

The largest difference between the two alternative classification modes is associated with the largest families.

Hence, it is safe to recommend using the classification mode with the respective class probability estimate.

The raw probability for each category is predicted via a one-vs-all classification mode.

We utilize a one-vs-all classification mode to get the raw probability for each category.

In case of RF the classification mode has a slight edge while for NNs and SVMs the regression mode wins.

In classification mode, log loss function is always the best objective function while AdaBoost will choose exponential loss.

Fracture classification, mode of fixation, time to union, and final outcomes at the latest follow-up were reviewed.

The data are grouped by classification technique where regression and classification mode for a particular technique were grouped together (e.g. classification and regression RF).

Preoperative characteristics including age, sex, classification, mode of injury, and time period from injury to operation were comparable in both groups (Table 1).

With RF in regression and classification mode a similar argument applies since the output of both simply depends on the fraction of major class compounds in the terminal leaf in the considered case.