Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
axis=1) CC_test = tf.math.confusion_matrix(y_test, prediction) TN = CC_test[1, 1] FP = CC_test[1, 0] FN = CC_test[0, 1] TP = CC_test[0, 0] FPFN = FP + FN TPTN = TP + TN Accuracy = 1 / (1 + (FPFN / TPTN)) print("Our_Accuracy_Score:", Accuracy) Precision = 1 / (1 + (FP / TP))