Question

which classification is best and why ​

Answer 1

Answer:

3.1 Comparison Matrix

Classification Algorithms Accuracy F1-Score

Stochastic Gradient Descent 82.20% 0.5780

K-Nearest Neighbours 83.56% 0.5924

Decision Tree 84.23% 0.6308

Random Forest 84.33% 0.6275

Answer 2

Answer:

3.1 Comparison Matrix

Classification Algorithms Accuracy F1-Score

Stochastic Gradient Descent 82.20% 0.5780

K-Nearest Neighbours 83.56% 0.5924

Decision Tree 84.23% 0.6308

Random Forest 84.33% 0.6275