Welcome to the Iterative Dichotomiser 3 Program!

Number of Training Instances:10
Classification Accuracy for Pruned Tree:0.32578368999421636
Classification Accuracy for Unpruned Tree:0.34864083285135916

Number of Training Instances:17
Classification Accuracy for Pruned Tree:0.4133294775400039
Classification Accuracy for Unpruned Tree:0.4152342394447658

Number of Training Instances:24
Classification Accuracy for Pruned Tree:0.49447850395218823
Classification Accuracy for Unpruned Tree:0.5310969732022364

Number of Training Instances:31
Classification Accuracy for Pruned Tree:0.5084480431848852
Classification Accuracy for Unpruned Tree:0.5403894351262772

Number of Training Instances:38
Classification Accuracy for Pruned Tree:0.6176441102756891
Classification Accuracy for Unpruned Tree:0.6072527472527472

Number of Training Instances:45
Classification Accuracy for Pruned Tree:0.6274493927125506
Classification Accuracy for Unpruned Tree:0.6122112974744554

Number of Training Instances:52
Classification Accuracy for Pruned Tree:0.6240909967225757
Classification Accuracy for Unpruned Tree:0.6026373626373627

Number of Training Instances:59
Classification Accuracy for Pruned Tree:0.639830345093503
Classification Accuracy for Unpruned Tree:0.6231386157701946

Number of Training Instances:66
Classification Accuracy for Pruned Tree:0.5998650472334683
Classification Accuracy for Unpruned Tree:0.5893888567572778

Number of Training Instances:73
Classification Accuracy for Pruned Tree:0.6520146520146521
Classification Accuracy for Unpruned Tree:0.649608636977058

Number of Training Instances:80
Classification Accuracy for Pruned Tree:0.7044110275689223
Classification Accuracy for Unpruned Tree:0.6734335839598997

Number of Training Instances:87
Classification Accuracy for Pruned Tree:0.7095392326971275
Classification Accuracy for Unpruned Tree:0.6981106612685559

Number of Training Instances:94
Classification Accuracy for Pruned Tree:0.6609061114324272
Classification Accuracy for Unpruned Tree:0.6551918257181415

Number of Training Instances:101
Classification Accuracy for Pruned Tree:0.698280316175053
Classification Accuracy for Unpruned Tree:0.698280316175053

Number of Training Instances:108
Classification Accuracy for Pruned Tree:0.7135685367264315
Classification Accuracy for Unpruned Tree:0.7135685367264315

Number of Training Instances:115
Classification Accuracy for Pruned Tree:0.711675342201658
Classification Accuracy for Unpruned Tree:0.7059610564873723

Number of Training Instances:122
Classification Accuracy for Pruned Tree:0.7204665509928668
Classification Accuracy for Unpruned Tree:0.714752265278581

Number of Training Instances:129
Classification Accuracy for Pruned Tree:0.735438596491228
Classification Accuracy for Unpruned Tree:0.735438596491228

Number of Training Instances:136
Classification Accuracy for Pruned Tree:0.7120802005012532
Classification Accuracy for Unpruned Tree:0.7111278195488722

Number of Training Instances:143
Classification Accuracy for Pruned Tree:0.7465509928667824
Classification Accuracy for Unpruned Tree:0.7303103913630229

Number of Training Instances:150
Classification Accuracy for Pruned Tree:0.7236938500096395
Classification Accuracy for Unpruned Tree:0.7188818199344515

Number of Training Instances:157
Classification Accuracy for Pruned Tree:0.7236938500096395
Classification Accuracy for Unpruned Tree:0.7188818199344515