“StringBuilder” class: The class “StringBuilder” is similar to the class “String” except the way the changes are made to the objects of the “StringBuilder”. The contents of the “StringBuilder” object can be changed whereas the contents of the “String” object cannot be changed. Method “toLowerCase ()”: This method is used to convert the character into lower case equivalent of the letters that is passed as the argument. If the argument that is passed is already in the lower case then the character will not be changed and will be remain the same.

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Chapter 9, Problem 7AW

Program Plan Intro

“StringBuilder” class:

The class “StringBuilder” is similar to the class “String” except the way the changes are made to the objects of the “StringBuilder”.

The contents of the “StringBuilder” object can be changed whereas the contents of the “String” object cannot be changed.

Method “toLowerCase ()”: This method is used to convert the character into lower case equivalent of the letters that is passed as the argument. If the argument that is passed is already in the lower case then the character will not be changed and will be remain the same.

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Please provide me with the output image of both of them . below are the diagrams code I have two diagram : first diagram code graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…