Von-Mises-Pred

1. The Submarine Hull features a hollow cylindrical structure, with Von-Mises stress influenced by factors such as radius, length, thickness, and operable depth, among others.

2. The aim of employing Machine Learning (ML) and Deep Learning (DL) is to establish correlations between these parameters and determine their respective feature importance.

3. Predictions of Von-Mises stress are made using various models like polynomial regression, Decision Trees, Random Forest, KNN, and Neural Network, achieving an impressive 99 percent accuracy.

4. Analysis of the results reveals that the primary and crucial features influencing Von-Mises stress are the radius, length, thickness, and operable depth of the submarine hull.