A machine learning model is trained to predict tumor in patients. The test dataset consists of 100 people. Calculate the Accuracy, Precision, Recall and F1-Scorebased on the given confusion matrix. What is the weakness and strength of this model?

actual
negative positive
predication negative 60 8
positive 22 10