ML-Based Interconnected Affecting Factors with Supporting Matrices for Assessment of Risk in Stock Market

Table 10

Comparative analysis of proposed methodology with existing models.

Author name	Accuracy
Madge and Bhatt [30]	80%
Qiu and Song [31]	81.27%
Tsai and Chen [32]	77%
Senol and Ozturan [33]	78.47%
Nti et al. [34]	93.7%
Hao and Gao [35]	74.55%
Budiharto [36]	94.59%
Bhupinder and Santosh	96.3%