Table 1.

Other Tested Machine Learning Models and Their Respective Accuracies from scikit-learn

Classifier	Accuracy
Random Forest	98.2%
Linear Support Vector Machine	94.4%
Decision Tree	64.8%
Naive Bayes	86.1%
K-Nearest Neighbors (neighbors = 5)	92.6%
General Purpose Multi-layer Perceptron	61.1%