I # YOUR CODE HERE def train_DT(X,Y): clf = DecisionTreeclassifier(random_state = 0, max_depth = 2) clf = clf.fit(X,Y) return clf I assert callable(train_DT) 2h) Classification #1: Using Only Subject Let's try to classify the email conversation using only the subject field of the dataframe only. Using the function train_DT() , train a decision tree classifier on subject_train_X (as your predictor) and category_train_Y (as your outcome) and save the model as subject_clf . I # YOUR CODE HERE raise NotImplementedError() I assert isinstance(subject_clf, DecisionTreeclassifier) assert hasattr(subject_clf, "predict") Now we will use the function classification_report to print out the performance of the classifier on the training set: I # Your classifier should observe an accuracy of around 96%. subject_predicted_train_Y = subject_clf.predict(subject_train_X) print(classification_report(category_train_Y, subject_predicted_train_Y))

I # YOUR CODE HERE def train_DT(X,Y): clf = DecisionTreeclassifier(random_state = 0, max_depth = 2) clf = clf.fit(X,Y) return clf I assert callable(train_DT) 2h) Classification #1: Using Only Subject Let's try to classify the email conversation using only the subject field of the dataframe only. Using the function train_DT() , train a decision tree classifier on subject_train_X (as your predictor) and category_train_Y (as your outcome) and save the model as subject_clf . I # YOUR CODE HERE raise NotImplementedError() I assert isinstance(subject_clf, DecisionTreeclassifier) assert hasattr(subject_clf, "predict") Now we will use the function classification_report to print out the performance of the classifier on the training set: I # Your classifier should observe an accuracy of around 96%. subject_predicted_train_Y = subject_clf.predict(subject_train_X) print(classification_report(category_train_Y, subject_predicted_train_Y))

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

#7. HashTable Data Type: By having each bucket contain a linked list of elements that are hashed to that bucket. Usage: >>> table = SeparateChainingHashTable() # Create a new, empty map. >>> table.put('hello', 'world') # Add a new key-value pair. >>> len(table) # Return the number of key-value pairs stored in the map. 1 >>> table.get('hello') # Get value by key. 'world' >>> del table['hello'] # Equivalent to `table.del_('hello')`, deleting key-value pair. >>> table.get('hello') is None # Return `None` if a key doesn't exist. True """ _empty = None def __init__(self, size=11): self.size = size self._len = 0 self._table = [self._empty] * size def put(self, key, value): hash_ = self.hash(key) node_ = self._table[hash_] if node_ is self._empty: self._table[hash_] = Node(key, value) else: while node_.next is not None:…
Suppose that a B+-tree index on (dept_name, building) is available on relationdepartment. What would be the best way to handle the following selection?σ(building < “Watson”) ∧ (budget < 55000) ∧ (dept name = “Music”)(department)
Solve this and make sure the code compiles orderdp.cpp: #include <fcntl.h> #include <stdlib.h> #include <unistd.h> #include <inttypes.h> #include "orders.h" item::item(uint16_t s, uint16_t q) : sku(s), quantity(q) { } item_list::item_list() : items(NULL), num_products(0) { } void item_list::add(const item& i) { items = (item**)realloc(items, (num_products+1)*sizeof(item*)); items[num_products] = new item(i); num_products++; } order::order(uint16_t o, std::string n) : order_id(o), customer_name(n) { } void order::addItem(const item& i) { product_items.add(i); } order** read_orders(const char* filename, uint16_t* num_orders) { int fd; fd = open(filename, O_RDONLY); int err = fd; if (err == -1) { return NULL; } read(fd, num_orders, sizeof(*num_orders)); order** orders = new order*[*num_orders]; for (int i=0; i<*num_orders; i++) { uint16_t order_id; uint16_t num_products;…
For non-unique search keys, a property was added. How does this affect B+ tree height?
Which of the following algorithms are useful for processing queries on trees? A. Centroid Decomposition. B. Heavy Light Decomposition. C. Both (A) and (B). D. Neither (A) nor (B).
Sort by reverse domain: Write a data type Domain that represents domain names,including an appropriate compareTo() method where the natural order is in order ofthe reverse domain name. For example, the reverse domain of cs.princeton.edu isedu.princeton.cs. This is useful for web log analysis. Hint: Use s.split("\\.") tosplit the string s into tokens, delimited by dots. Write a client that reads domain names from standard input and prints the reverse domains in sorted order
Question 4 A ) Our List ADT supports: Group of answer choices all the collection operations indices iteration retrieving an element based on its key All of these are correct B )Our Collection ADT supports: Group of answer choices retrieval by priority storage of null first in first out access retrieving an element based on its key All of these are correct Full explain this question and text typing work only thanks All part solution send me
Q #3. Apply concepts of Advanced Data Structures to implement a Students Book as adoubly linked list. Each node in the Student Book will contain ‘Name’, ‘RegNumber’,‘CGPA and ‘Age’ of the student. Following operations can be performed on the StudentBook.• Constructor to create and Destructor to destroy the Student Book• Add a Student if it is not already present in the Book.• Delete a Student from the Book.• Search a Student in the Student Book using Name or Reg. Number. If founddisplay its details. If not found, display ‘Student not found’.• Display the Student details in forward and reverse order• In main (), define an object of type StudentBook. Get details of 10 student fromthe user and add to the StudentBook. Ask the user, if the user wants to display,search or delete a student and perform the required actions, accordingly.
Which of the following statements about Binary Search Tree (BST) is FALSE? Choose one:A.Organizes keys in nodes in such a manner that searching, insertion, and deletion are efficient.B.Start at the root and work your way left as long as there is a left child. This will result in the smallest element.The C.BST attribute specifies that all keys in a left subtree are smaller than a certain key, whereas all keys in a right subtree are bigger.D.Pre-order traversal prints out all the keys in alphabetical order.
We have two features A and B. Each feature has two values T (true) or F (false). The data set has two labels Y and N. For making a decision tree we scanned the data set and found the following: Feature A: (T) Y-100 N-30, (F) Y-45 N-100; Feature B: (T) Y-100 N-85, (F) Y-10 N-90; What feature will be at the top for a decision tree?
There is a data set that describes the email contacts between people in a University department. The data set is as follows: 0 1 0 2 0 6 1 0 1 3 1 5 2 0 2 4 3 1 3 5 3 6 4 2 4 5 5 1 5 3 5 4 6 0 6 3 There are totally 7 ids, representing 7 individuals. The two columns are the ids of persons. The id pair in a row represents an email contact relationship between the node pairs. For example, the first row ‘0 1’ means an individual with id 0 and an individual with id 1 have an email contact. All the individuals and their relationship constitute an email contact network, which is a graph in data structure. Based on the data set, please implement the following tasks: Establish a graph data structure using the adjacent list method. Source code: Running snapshot: Let node 0 as the origin and do the BFS traverse of the graph. Print out the BFS traverse…
What would be necessary to allow the user of an OrderedStructure to provide an alternative ordering during the lifetime of a class? This method might be called sortBy and would take a Comparator as its sole parameter.