I finally ended up simplifying the whole task and starting from the very beginning. I had two data sets of two athletes with the same training attributes (data columns). The earlier matlab script did some sort of pretraining with the one dataset and some sort of main training and cross validation with the second dataset. Remember, I am still trying to reproduce the results from the paper (which were generated with Data Engine) using MatLab.
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The prediction capabilities of the neural network that was coded in the last post do not seem to be as good as expected, at least not in the standard configuration. When I fed the data set (which I will not publish here) through the network and the cross validation, the results are as follows:
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