Consider a labeled data set containing 100data instances, which is randomlypartitioned into two sets A and B, eachcontaining 50 instances. We use A as thetraining set to learn two decision trees,D10 with 10 leaf nodes and D100 with 100leaf nodes. The accuracies of the twodecision trees on data sets A and B areshown in the following table.Accuracies of twodifferent decision treesDatasetBAccuracyA (training) 0.86 0.97(validation)D10 D1000.84 0.77(a) Based on the accuracies shown in thetable, which classification model wouldyou expect to have better performance onunseen instances? Write 10 for D₁0 and100 for D100.

Based on the accuracies shown in the table, we would expect the classification model D10 to have…

Answered: Consider a labeled data set containing…

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