The correct answer is: A. The model would consider even far away points from hyperplane for modeling.
The RBF kernel is a type of kernel function that is often used in support vector machines (SVMs). It is a radial basis function, which means that it is centered at a particular point and has a Gaussian shape. The gamma parameter controls the width of the Gaussian function. A higher gamma value corresponds to a narrower Gaussian function, which means that the model will be more sensitive to points that are close to the center of the function. In other words, a higher gamma value will cause the model to consider even far away points from the hyperplane for modeling.
Option B is incorrect because the RBF kernel does not consider only the points close to the hyperplane for modeling. Option C is incorrect because the RBF kernel is affected by the distance of points from the hyperplane for modeling. Option D is incorrect because the RBF kernel is a type of kernel function that is often used in SVMs.