Following are different important scenarios related with number of training examples and features based on which one could try different learning algorithms out of logistic regression or SVM with/without Kernels:
One may note that the logistic regression and SVM without a Kernel can be used interchangeably as they are similar algorithms. The strength of SVM lies in usage of kernel functions, such as Gaussian Kernel, for complex non-linear classification problem.
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