Welcome to the Iterative Dichotomiser 3 Program!

Number of Training Instances:10
Classification Accuracy for Pruned Tree:0.5563707816825837
Classification Accuracy for Unpruned Tree:0.5468051172451899

Number of Training Instances:210
Classification Accuracy for Pruned Tree:0.588038171561647
Classification Accuracy for Unpruned Tree:0.5529397947174383

Number of Training Instances:410
Classification Accuracy for Pruned Tree:0.5898797460804724
Classification Accuracy for Unpruned Tree:0.5566324829258951

Number of Training Instances:610
Classification Accuracy for Pruned Tree:0.6010457514757959
Classification Accuracy for Unpruned Tree:0.5906744340104887

Number of Training Instances:810
Classification Accuracy for Pruned Tree:0.6079698667458469
Classification Accuracy for Unpruned Tree:0.5925382712850775

Number of Training Instances:1010
Classification Accuracy for Pruned Tree:0.5999851098501632
Classification Accuracy for Unpruned Tree:0.5829634227514857

Number of Training Instances:1210
Classification Accuracy for Pruned Tree:0.6010372831574731
Classification Accuracy for Unpruned Tree:0.5882772859322147

Number of Training Instances:1410
Classification Accuracy for Pruned Tree:0.6026354964820855
Classification Accuracy for Unpruned Tree:0.591734388001544

Number of Training Instances:1610
Classification Accuracy for Pruned Tree:0.6068827014691566
Classification Accuracy for Unpruned Tree:0.5925276697047779

Number of Training Instances:1810
Classification Accuracy for Pruned Tree:0.6055596259363586
Classification Accuracy for Unpruned Tree:0.5983738037943367

Number of Training Instances:2010
Classification Accuracy for Pruned Tree:0.5941251841374936
Classification Accuracy for Unpruned Tree:0.5864145166957793

Number of Training Instances:2210
Classification Accuracy for Pruned Tree:0.598376991022818
Classification Accuracy for Unpruned Tree:0.5866854245499269

Number of Training Instances:2410
Classification Accuracy for Pruned Tree:0.5959921945689148
Classification Accuracy for Unpruned Tree:0.586425470536357

Number of Training Instances:2610
Classification Accuracy for Pruned Tree:0.60024575712697
Classification Accuracy for Unpruned Tree:0.5933266044584397

Number of Training Instances:2810
Classification Accuracy for Pruned Tree:0.6037124011814351
Classification Accuracy for Unpruned Tree:0.5970606225069524