Let me try to answer your question as I understand it. I ran a model to predict a nominal target with 9 levels. A specific level (A) is selected but the Misclassification rate for the overall model stays the same regardless. The bottom right graph is a Confusion Matrix showing observed and predicted results for all 9 levels. The table at the very bottom shows detailed numbers of observations and percentage for all possibilities. You can click the Create Pipeline button to run further analysis in Model Studio and prepare the model for deployment. Model Studio gives you a nice Nominal Classification chart.
Model Studio Nominal Classification chart:
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How to choose a machine learning algorithm
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.