LANGUAGE IS CPP

COULD YOU HELP ME IMPLEMENT THESE FUNCTIONS

DESICION TREES ARE NEED TO BE MADE AND PREDICTIONS ABOUT GRADES ARE TO BE DONE

//Data Structure to maintain Tree for training, predictions and traversal template  struct Tree{ void build_tree(LinkedList trainDataset, int start, int WindowSize){ } //Takes a testDataset and rowIndex as input and returns a potential string i.e. 'Good' T predictOne(LinkedList testDataset, int rowIndex){ } //Takes a testDataset as input and returns a potential predictions as LinkedList i.e. {'Good','Excellent','Notfound'} LinkedList predictAll(LinkedList testDataset){ } //This function computes accuracy after training float accuracy(LinkedList testDataset){ } //This function returns string in csv format i.e. "1,16,2,9" after traversing in preOrder fashion. //Check Test Case for better understanding of output string preOrderTraversal(){ } //This function returns string in csv format i.e. "1,16,2,9" after traversing in inOrder fashion //Check Test Case for better understanding of output string inOrderTraversal(){ } //This function returns string in csv format i.e. "1,16,2,9" after traversing in postOrder fashion //Check Test Case for better understanding of output string postOrderTraversal(){ } }; //Data Structure to maintain Multiple Trees for training and predictions template  struct Forest{ //Constructor to set some data members Forest(int NTrees,int WindowSize, int stepSize){ } //This function calls train on each tree individually by following the sliding window logic and keeps track of those trees. void build_forest(LinkedList trainDataset){ } //This function takes predictions on 1 entry of testDataset from all Trees and then merge them together, //and only gives those entries whose occurence is maximum in that list and return that. LinkedList predictOne(LinkedList testDataset, int rowIndex){ } //This function takes predictions on all entries of testDataset from all Trees and then merge them together, //and only gives those entries whose occurence is maximum in that list and return that. LinkedList> predictAll(LinkedList testDataset){ } float accuracy(LinkedList testDataset){ } };