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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.
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.
Similar(55)
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.
MCC is a recommended measure when compared with other measures for classification performance (Baldi, 2000).
Performance evaluation was done by calculating most common 4 evaluation measures for classification models.
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.
The first one, i.e. Complementarity measure for time series prediction (ComTSP), is properly modified from Complementarity measure (COM) for classification.
The second one, i.e. Concurrency thinning for time series prediction (ConTSP), is correctly transformed from Concurrency measure (CON) for classification.
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