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Comparison between Existing and proposed Model
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Existing classification studies use two non-parametric classifiers- k-nearest neighbours (kNN) and decision trees, and oneparametric classifier-logistic regression, generating high accuracies. Previous research work has compared the results ofthese classifiers with training patterns of different sizes to study alcohol tests. In this paper, the Impr...
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Context 1
... all three classes of this research, the maximum accuracy was achieved when the training sample size was approximately 85% of the whole data in the overall model. It would also have an effect on proposed final model result while reducing the error rate according to Equation 7. Then got the better accuracy which shown in the following Table 2. in the proposed model, and showing the accuracy graph as following in Figure 7. ...Similar publications
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