Trainingfile: trainfile Testingfile: testfile Signif_accept: 90.00 percent Signif_drop: 75.00 percent Value of k: 1 Algorithm: 1-IB1 Normalization type: Linear Missing type: Maximum Difference 1-IB1 Testing Summary after 25 Training Instances: 1-IB1 0 Total Te-Accuracy 10.0 10.0 Tr-Accuracy 0.0 0.0 Recently 0.0 0.0 Total Storage 25 25 Accepteds 25 25 Num Dropped 0 0.0 1-IB1 Testing Summary after 50 Training Instances: 1-IB1 0 Total Te-Accuracy 20.0 20.0 Tr-Accuracy 0.0 0.0 Recently 0.0 0.0 Total Storage 50 50 Accepteds 50 50 Num Dropped 0 0.0 1-IB1 Testing Summary after 75 Training Instances: 1-IB1 0 Total Te-Accuracy 30.0 30.0 Tr-Accuracy 0.0 0.0 Recently 0.0 0.0 Total Storage 75 75 Accepteds 75 75 Num Dropped 0 0.0 1-IB1 Testing Summary after 100 Training Instances: 1-IB1 0 Total Te-Accuracy 40.0 40.0 Tr-Accuracy 0.0 0.0 Recently 0.0 0.0 Total Storage 100 100 Accepteds 100 100 Num Dropped 0 0.0 1-IB1 Testing Summary after 125 Training Instances: 1-IB1 0 Total Te-Accuracy 50.0 50.0 Tr-Accuracy 0.0 0.0 Recently 0.0 0.0 Total Storage 125 125 Accepteds 125 125 Num Dropped 0 0.0 1-IB1 Testing Summary after 150 Training Instances: 1-IB1 0 Total Te-Accuracy 40.0 40.0 Tr-Accuracy 0.0 0.0 Recently 0.0 0.0 Total Storage 150 150 Accepteds 150 150 Num Dropped 0 0.0 1-IB1 Testing Summary after 175 Training Instances: 1-IB1 0 Total Te-Accuracy 40.0 40.0 Tr-Accuracy 0.0 0.0 Recently 0.0 0.0 Total Storage 175 175 Accepteds 175 175 Num Dropped 0 0.0 1-IB1 Testing Summary after 200 Training Instances: 1-IB1 0 Total Te-Accuracy 60.0 60.0 Tr-Accuracy 0.0 0.0 Recently 0.0 0.0 Total Storage 200 200 Accepteds 200 200 Num Dropped 0 0.0