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The Classification And Regression Tree model is a tree-based classification and prediction model.

Fig. 3 Decision tree model.

Fig. 4 Tree model at exhibition entrance.

Suffix tree model learns from historical travel pattern.

A Darwinian tree model best describes clonal evolution.

Beam Constraint Tree Model is computed on the basis of Linear Tree Model, and can achieve higher accuracy.

And so their initial product, the thing that they were developing originally was it was a decision tree model.

A decision tree model with 97.5% classification success was developed based on SO42 − and Cl− variables.

The BN is mapped from the fault tree model in the first part.

Statistical Note: Two types of predictive models were developed, a decision tree model and a stepwise regression model.

The learning set was used to construct the tree model, and the testing set was used to internally validate the resulting tree model.

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