Internet Digital Economy Development Forecast Based on Artificial Intelligence and SVM-KNN Network Detection

Table 1

Comparison of traditional machine algorithms.

Algorithm	Algorithm description	Advantage
Logistic regression	Softmax function is used as a multiclassifier.	The amount of calculation is relatively small and easy to understand and implement.
Support vector machines	Find the optimal hyperplane to determine the classification category f (x) = sign( + b).	It can handle the interaction of nonlinear features, solve high-dimensional problems, and improve generalization ability.
Naive Bayes	The highest posterior probability of the output category is used as the input target category:	Stable classification efficiency and good performance on small-scale data. It is less sensitive to lost data.
K neighbors	Select the KNN feature spaces of the nearest category, and input samples as output.	It is easy to use and understand and can be used for nonlinear classification.