Step 1: Understand that SVM stands for Support Vector Machine, which is a type of machine learning model used for classification tasks.
Step 2: Know that 'C' is a parameter in SVM that helps determine how the model behaves.
Step 3: Realize that 'C' controls two important things: the size of the margin (the space between the classes) and the number of mistakes the model can make.
Step 4: If 'C' is a large number, the model will try hard to avoid mistakes, which may result in a smaller margin.
Step 5: If 'C' is a small number, the model will allow more mistakes, which can lead to a larger margin.
Step 6: Therefore, 'C' helps balance between having a wide margin and making fewer errors in classification.
