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Similarly, Control-drag from File s Owner to the UITextField and choose sourceTextField as the outlet, then from File s Owner to the UILabel choosing destinationTextField as the outlet. Save and close Interface Builder. Excellent. It looks as though the application is ready to roll. Build and Run. Hmm. The application compiles and runs; however, when you click the text, type, and click the button, nothing happens. What has gone wrong here Quit from the emulator and let s start checking. In Xcode choose the Build Results tab. Ah, there are two warnings (see Figure 4 8):

where L(S) denotes the hypothesis output by learning method L when given the sample S of training data and where the subscript S c V indicates that the expected value is taken over samples S drawn according to the underlying instance distribution V The above expression describes the expected value of the difference in errors between learning methods L A and L B Of course in practice we have only a limited sample Do of data when comparing learning methods In such cases, one obvious approach to estimating the above quantity is to divide Do into a training set So and a disjoint test set To The training data can be used to train both LA and LB, and the test data can be used to compare the accuracy of the two learned hypotheses In other words, we measure the quantity

Notice two key differences between this estimator and the quantity in Equation (514) First, we are using errorTo(h)to approximate errorv(h) Second, we are only measuring the difference in errors for one training set So rather than taking the expected value of this difference over all samples S that might be drawn ) from the distribution 2 One way to improve on the estimator given by Equation (515) is to repeatedly partition the data Do into disjoint training and test sets and to take the mean of the test set errors for these different experiments This leads to the procedure shown in Table 55 for estimating the difference between errors of two learning methods, based on a fixed sample Do of available data This procedure first partitions the data into k disjoint subsets of equal size, where this size is at least 30 It then trains and tests the learning algorithms k times, using each of the k subsets in turn as the test set, and using all remaining data as the training set In this way, the learning algorithms are tested on k independent test sets, 'and the mean difference in errors 8 is returned as an estimate of the difference between the two learning algorithms The quantity 8 returned by the procedure of Table 55 can be taken as an estimate of the desired quantity from Equation 514 More appropriately, we can view 8 as an estimate of the quantity

The two warning messages are about getting and setting the stringValue property. That s where we need to start looking perhaps there are syntax differences between the AppKit and UIKit class methods. A good tip here is to use Xcode s code completion features. If setStringValue is not correct, what should we be using here To use this here, position the cursor immediately before setStringValue and hit Return to put the rest of the text on the next line (we ll get rid of the text that we just shunted out of the way shortly). Now type set (it s a fair bet that the command we re looking for begins with set ) and then hit the Escape key. This pops up a code completion list. Xcode shows all relevant commands for the class (you will see that it is clever enough to know that the method is for a UILabel class). See Figure 4 9.

ID01 drawn uniformly from Do where S represents a random sample of size The only difference between this expression and our original expression in Equation (514) is that this new expression takes the expected value over subsets of the available data Do, rather than over subsets drawn from the full instance dis) tribution 2

1 Partition the available data Do into k disjoint subsets T I , T2, ,Tk of equal size, where this size is at least 30 2 For i from 1 to k, do use Ti for the test set, and the remaining data for training set Si 0 Si c {Do - Ti}