[Retracted] Improved Artificial Neural Network with State Order Dataset Estimation for Brain Cancer Cell Diagnosis

Table 1

Comparison table for existing methods.

Methods	Pros	Cons
Logistic regression	Good performance for small-scale datasets and outputs produces for the interpreted probability	Assumptions about the data are required and provide the linear solutions
KNN	Intuitive methods	No. of neighbors are user-defined-based
SVMs	Provides the solutions for the nonlinear applications	Requires the knowledge using the kernel employment
Decision tree	Able to handle the categorical features and tune for the few parameters and performs well for huge number of features	Ensemble of interpretability is questioned