All of the following are disadvantages$/$limitations of the SVM technique EXCEPT:

Group of answer choices

model building involves complex and time$-$demanding calculations.

selection of the kernel type and kernel function parameters is difficult.

they have high algorithmic complexity and extensive memory requirements for complex tasks.

their accuracy is poor in many domains compared to neural networks.