Sentence examples for measures for classification from inspiring English sources

Performance evaluation was done by calculating most common 4 evaluation measures for classification models.

MCC is a recommended measure when compared with other measures for classification performance (Baldi, 2000).

Given further development in brain imaging, there is, however, no longer a need to rely exclusively on "surface" measures for classification of disease and diagnosis.

Consequently, the values of fractal dimension can be objective measures for classifications of uterine contraction signals and may be used in studies on preterm labor.

Then we propose a combined distance measure for classification.

The LDA learner employs a simple nearest-neighbor classifier with a weighted angle distance measure for classification.

If we interpret our MC results as a measure for classification accuracy, our performance is slightly better for handshake but lower for hug and pass object.

In rainbow trout farming, automatic measuring for classification is an open problem, when in most of small farms this work is done manually within a laborious process and achieving inaccurate measurements.

Since the tested datasets have an imbalanced ratio between number of samples in positive and negative class, accuracy is not a good measure for classification performance.

The usual performance measure for classification trees is the accuracy of the tree when predicting the outcome (the value of the dependent variable) on samples not seen during the process of tree building.

Several complexity measures for supervised classification have been designed to define these areas.