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Another test of the classification model was performed.
This means that the classification model is statistically significant.
Finally, we utilize the SVM to train the classification model.
In other words, they do not take the auxiliary data into account in the classification model.
Figure 1 shows the basic system architecture of the classification model.
Lastly, the SVM method is used to obtain the classification model for throat polyp detection.
The average performance across the 'K' iterations is considered as the performance of the classification model.
Additionally, canonical regression analysis corroborated the statistical quality of the classification model (Rcanc = 0.824).
The success of the classification model was tested by the leave-one-out cross validation method [36].
For example, it can only unceasing absorb new data-streams, it cannot remove old instances in the classification model.
As a consequence the classification model generated by d-Confidence is able of identifying more distinct classes faster.
More suggestions(18)
the categorization model
the typology model
the nomenclature model
the classification prediction
the classification image
the grade model
the disaggregation model
the rating model
the classifying model
the grading model
the classification pattern
the classification methodology
the category model
the class model
the classification one
the categories model
the ranking model
disaggregation model
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