Welcome to the Iterative Dichotomiser 3 Program! Number of Training Instances:10 Classification Accuracy for Pruned Tree:0.7037283592802703 Classification Accuracy for Unpruned Tree:0.6504463862901817 Number of Training Instances:72 Classification Accuracy for Pruned Tree:0.8149377343103021 Classification Accuracy for Unpruned Tree:0.8142905780789116 Number of Training Instances:134 Classification Accuracy for Pruned Tree:0.8091252978741948 Classification Accuracy for Unpruned Tree:0.803349844066525 Number of Training Instances:196 Classification Accuracy for Pruned Tree:0.8328990834869583 Classification Accuracy for Unpruned Tree:0.8290404830541023 Number of Training Instances:258 Classification Accuracy for Pruned Tree:0.8419064478682463 Classification Accuracy for Unpruned Tree:0.8316376047054097 Number of Training Instances:320 Classification Accuracy for Pruned Tree:0.8631120351613335 Classification Accuracy for Unpruned Tree:0.8528205318539399 Number of Training Instances:382 Classification Accuracy for Pruned Tree:0.8791831412236014 Classification Accuracy for Unpruned Tree:0.8714536923476116 Number of Training Instances:444 Classification Accuracy for Pruned Tree:0.8991231007879354 Classification Accuracy for Unpruned Tree:0.8971855822096326 Number of Training Instances:506 Classification Accuracy for Pruned Tree:0.9068217109237604 Classification Accuracy for Unpruned Tree:0.902315954259514 Number of Training Instances:568 Classification Accuracy for Pruned Tree:0.9183726185390999 Classification Accuracy for Unpruned Tree:0.9138750802367286 Number of Training Instances:630 Classification Accuracy for Pruned Tree:0.916441323381604 Classification Accuracy for Unpruned Tree:0.9157981967986167 Number of Training Instances:692 Classification Accuracy for Pruned Tree:0.9183438145062702 Classification Accuracy for Unpruned Tree:0.9202442311573342 Number of Training Instances:754 Classification Accuracy for Pruned Tree:0.9183458492136054 Classification Accuracy for Unpruned Tree:0.926683357452679 Number of Training Instances:816 Classification Accuracy for Pruned Tree:0.9177253827751752 Classification Accuracy for Unpruned Tree:0.9235028712901802 Number of Training Instances:878 Classification Accuracy for Pruned Tree:0.9260917745796124 Classification Accuracy for Unpruned Tree:0.9280128166678983 Number of Training Instances:940 Classification Accuracy for Pruned Tree:0.9292784443966513 Classification Accuracy for Unpruned Tree:0.929268151561174 Number of Training Instances:1002 Classification Accuracy for Pruned Tree:0.9286395065271357 Classification Accuracy for Unpruned Tree:0.9318364294133847 Number of Training Instances:1064 Classification Accuracy for Pruned Tree:0.9318631589726121 Classification Accuracy for Unpruned Tree:0.937638652546549 Number of Training Instances:1126 Classification Accuracy for Pruned Tree:0.9382858883104739 Classification Accuracy for Unpruned Tree:0.944057232937206 Number of Training Instances:1188 Classification Accuracy for Pruned Tree:0.9421444092107955 Classification Accuracy for Unpruned Tree:0.9466295802040872