I want ER diagram to be done for the below decision tree

Q: Generate test cases for the triangle problem by using the cause-effect graph and desicion table…

A: Decision table testing which refers to the software testing technique that are used to test system…

Q: Consider the following modification to the restaurant example described in class, which includes…

A: I have answered this question in step 2.

Q: Given the dataset of cars with their mileage and cost for cost prediction: Build a decision tree…

A: I have successfully built the decisiontree. See in the below steps. The reason we used decision tree…

Q: put attributes. We learn a decision tree classifier. Wind Play Tennis No Temp. Humidity High High…

A: It is defined as a file that contains one or more records. The record is the basic unit of…

Q: At least three Venn diagrams are required in the real-world situation. In this case, a Venn diagram…

A: Given: a real-life example of a Venn diagram with at least three sets For this case, a Venn diagram…

Q: In a dataset, there are 1000 samples from apples and oranges. The dataset is split into two parts as…

A: Since 5 actual apples are classified as oranges hence b = 5similarly 40 oranges are classified as 40…

Q: Create a decision tree from the data below where the final classes are a binary response to the…

A: Note: Answering the question in python as a programing language is mentioned. Task : Given the…

Q: Consider the following argument.     All flowers need water.         All trees need water.…

A:

Q: Suppose we use Adaboosting with linear classifers to classify between red and green points, and in…

A: Decision Boundary : Decision boundary is a curve that separates the data points of one class from…

Q: Choose a real-life situation with at least three sets of Venn diagrams. Explain why a Venn diagram…

A: Introduction a practical illustration utilising a Venn diagram for at least three sets. A Venn…

Q: Q.6 Explain impurity measures in decision tree.

A:

Q: Choose a real-life situation with at least three sets of Venn diagrams. Explain why a Venn diagram…

A: Given: an actual-world illustration of a Venn diagram with at least three sets. For this instance, a…

Q: Use the available functions under Scikit-learn to obtain the decision boundary of this classifier…

A: Decision Tree Classifier is a simple and widely used classification technique. It applies a…

Q: How do you specify the termination condition for gradient descent?

A: I've seen loads of halting guidelines in the writing, and there are benefits and inconveniences to…

Q: What exactly is the relationship between BQP and NP that isn't clear?

A: 1) BQP(Bounded Error Quantum Polynomial Time) consists of decision problems that can be solved by a…

Q: When it comes to problem sets that are described over entirely nominal feature sets, classification…

A: Given: Popular responses (1) Pearson's correlation coefficient. This is a strategy that utilizes…

Q: АРРEARS-IN(actor-naтe,age,sex, movie- Q3: title, year, director, studio,budget,salary) and the…

A: Answer:-

Q: 3. For a given data set, we applied the 0.632 bootstrapping validation and built a decision tree…

A: The overall error estimate for the model is 0.216, which is a weighted average of the training error…

Q: Suppose the university has decided to announce bonus 1 PMS point to  employees those have PMS points…

A: Introduction: By using list multiple items stored in a single variable. For eg  mylist = ["basu",…

Q: Discuss a method for generating a fuzzy set that describes the scalene triangle idea. Suggestions…

A: Given: Method of putting up a fuzzy setWe map the values in the range from 0 to 1. And broadly…

Q: Show how to express the coalesce function using the case construct.

A: Its SQL Coalesce and  ISNULL function are used to handle NULL Value. There are some feature of SQL…

Q: For problem sets that only include nominal features, vector space classification algorithms often…

A: In statistics, nominal features, usually called categorical variables, have two or more categories…

Q: Consider a flow chart which has 7 decision boxes . What may be the cyclomatic complexity of this?

A: Cyclomatic Complexity in Software Testing is a testing metric used for measuring the complexity of a…

Q: Decision trees are used to divide data into smaller groups by breaking data into two or more…

A: Introduction: Each branch of the decision tree is used to divide the data into two or more smaller…

Q: Data is often segmented using decision trees, with each branch splitting the data set in half or…

A: The answer is given in the below step

Q: Sketch a Voronoi map for the INN method for the following examples, and indicate the decision…

A: In the question above, we would be able to provide the steps to create the Voronoi Map but not be…

Q: a. Discuss what will happen you decide to change the splitting criterion. Explain how you are…

A: As per bartleby policy I have to answer only one question but still I answered for both. Hope this…

Q: Explain the difference between Machine Dependent and In-Dependent Optimization by examining the…

A: Introduction The code optimization in the synthesis phase is a program transformation technique,…

Q: 3. Consider the decision tree shown in Figure 2a, and the corresponding training and test sets shown…

A: The Answer is

Q: Consider a flow chart which has 7 decision boxes.What may be the cyclomatic complexity of this?

A: Given Consider a flow chart that has 7 decision boxes. What may be the cyclomatic complexity of…

Q: - The overall entropy is (round to 2 decimals): - The information gain for attribute A is (round to…

A: The purpose of machine learning models and Data Scientists in general is to minimize uncertainty,…

Q: In decision trees, attribute selection techniques decide the goodness of a nominal attribute based…

A: ATTRIBUTE SELECTION TECHNIQUES: Attribute selection technique refers to those ways which are used…

Q: When it comes to problem sets that are described over entirely nominal feature sets, vector…

A: I agree with that. Reason Not recommended for non-linear issues Unfavourable for a lot of qualities.

Q: Develop a CART model using the test data set that utilizes the same target and predictor variables.…

A: Cart Model: Essentials of Decision Tree:- The decision tree method is a powerful and popular method…

Q: +ve class : p1(-2,2), p2(2,2) -ve class: p3(0,5) Find the decision boundary and margin also show…

A: Answer: I have given answered in the handwritten format in brief explained.

Q: Given the dataset of cars with their mileage and cost for cost prediction: Build a decision tree…

A: Answer:- import pandas as pd import numpy as np df = np.array([['Toyota Corolla', '40',…

Q: What feature will be at the top for a decision tree?

A: ANSWER: Decision Tree: Decision tree is the most impressive and well known instrument for…

Q: How do you specify the termination condition for gradient descent?

A: Answer: The following are two relevant criteria: For an unconstrained issue, the norm of the…

Q: XOR function mappings can easily be classified by decision trees. True False

A: The answer is