using deep learning to classify x-ray image

steps:

Import Libraries
EDA
create dataset
images preprocess and use class weight to solve imbalance problem
Training the Model
Compute Accuracy
Making Predictions
Conclusion

we try several model :

first model: simple deep learning model :: Accuracy: 0.78 - Recall: 0.72 - F1 Score: 0.73
second model we did some fine tuning by adding drop out layer: ::Accuracy: 0.73 - Recall: 0.64 - F1 Score: 0.64
third model anther fine tuning by adding dense layer: ::Accuracy: 0.74 - Recall: 0.66 - F1 Score: 0.65
anther pretrained model vgg19 ::Accuracy: 0.78 - Recall: 0.70 -F1 Score: 0.72
then we try pretrained model vgg16 ::Accuracy: 0.79 - Recall: 0.72 - F1 Score: 0.73

the highest accuracy and f1score is vgg16 so we use this model in reference