Their model achieved a classification ... Methodology flowchart. Scenario 3 involves detecting cocoa leaf diseases using feature extractors from VGG19, DenseNet, Inception V3, and Custom CNN with SVM ...

We performed feature selection using programs written in Python ... the SVM model and MRI in diagnosing prostate cancer by employing receiver operator characteristic curve (ROC) analysis. P< 0.05 ...

We applied the Python-based machine learning package “scikit-learn ... method was adopted for multiple comparisons. The Flowchart of the Prediction Model Construction The flowchart of the prediction ...

We compared the CNNs model to popular machine learning algorithms: AdaBoost, Random Forests (RF), and support vector machine (SVM). These classifiers were ... Figure 1. The flowchart of training and ...