More example – fetal state classification on cardiotocography

After a successful application of SVM with linear kernel, we will look at one more example of an SVM with RBF kernel to start with.

We are going to build a classifier that helps obstetricians categorize cardiotocograms (CTGs) into one of the three fetal states (normal, suspect, and pathologic). The cardiotocography dataset we use is from under the UCI Machine Learning Repository and it can be directly downloaded from as an .xls Excel file. The dataset consists of measurements of fetal heart rate and uterine contraction as features, and the fetal state ...

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