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Table 2 shows the characteristics of each subgroup identified by the classification tree analysis.
Misclassification error of the CART, compared to the original panel classification, as the gold standard, was calculated as the ratio of the number of indications erroneously classified by the classification tree divided by the total number of indications.
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Apparently, the matching performance can be improved significantly by using the classification tree.
By using the classification tree to partition members, the searching performance can be improve significantly since only one or a few nodes are accessed instead of the whole searching pool.
By interpreting the classification tree from top to bottom, it is possible to determine how the juveniles in the risk groups score on the six predictor variables that are part of the Y-ACNAT-NO.
If, on the contrary, the user diagnosis is carried out by means of the classification tree, the obtained DSR is better than applying the classification tree to cell-level KPIs.
The faceted classification may help to expedite responses to urgent in-service issues as well as to allow for patterns and trends in the records to be analysed, either automatically using suitable data mining algorithms or by manually browsing the classification tree.
Goodness-of-fit of the obtained classification tree was compared to the cluster assignment of Multimix, by dropping individuals down the classification tree, and by comparing the R tree-based classification of subjects to the Multimix-based one.
We first derived the classification tree by recursive identification of the predictor variable that splits the data into two groups, so that the tradeoff between sensitivity and specificity is optimal.
Data from a specific genetics quest in the game were analyzed by using data mining techniques including the classification tree method.
The classification tree produced by hierarchical clustering was separated at the root into two groups (sub-trees).
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