3. You are given a dataset of multiple customer profiles and whether they have been sanctioned loan or not. What type of machine learning algorithm will you use to create a model to predict whether to sanction loan to a customer or not? a) Supervised b) Unsupervised  Your answer: _______

Q: it resulted in the creation of the

A: Boehm's Spiral Model is notable because:

Q: In classification and regression trees (CART), it is done by the model itself, based on how dirty it…

A: The Answer is

Q: We need to know the criteria for determining if a model is prescriptive.

A: The correct answer for the above mentioned question is given in the following steps for your…

Q: ance, be simula

A: Introduction: These are two examples of difficulties that simulation models might be used to…

Q: Design two trading algorithms (agents) that have the ability to monitor the stocks through the…

A: Lets see the solution in the next steps

Q: For the Iteration and Incrementation life-cycle model do the following:

A: The Iterative and Incremental life-cycle model is a developmental approach that combines iterative…

Q: setting or parameter associated with a prediction algorithm that governs how it will operate   A…

A: Hyperparameter is a parameter that is set before the learning process begins.

Q: How do you analyse the performance of the predictions generated by regression models versus…

A: Supervised machine learning and Unsupervised machine learning are the two main categories of machine…

Q: The hyper-parameters of a model must NOT be tuned on the test data ( i.e, the data used to evaluate…

A: hyper-parameters A hyperparameter is machine learning is a parameter whose quantity is utilised to…

Q: Which Linear Regression training procedure should you employ if you have a training set with…

A: Linear weakening is a widely used supervise learning algorithm in machine learning and statistics.…

Q: A) What is regression? B) How we can use it to estimate relationship between dependent and…

A: Given To know about  the 1) Regression 2) use of regression to estimate relation between dependent…

Q: How can you recognize whether a model satisfies proportionality andadditivity?

A: An presumption is that a simplifying condition is taken into account in the research method such…

Q: In many ways, a descriptive model differs from a prescriptive model.

A: Definition: A descriptive model is used to define and/or help understand the nature, purpose, and…

Q: While it is preferable to utilize either descriptive or prescriptive models, which one is more…

A: Introduction : Prescriptive and descriptive models have different effectiveness depending on their…

Q: The process of building a model should not force a consideration of which factors influence the…

A: your question is about True or False let's see the correct answer with an explanation.

Q: a. Feature selection can be done through both filter and wrapper method. Which of these methods is…

A: Given: Explain feature selection methods.

Q: For what reason should one use a model

A: Answer to the given question: There are many reasons why one might use a model. Here are some of the…

Q: Only by seeing how well a model performs on test data can its accuracy be determined. elaborate on;…

A: Introduction: The typical procedure for assessing machine learning models is to fit and evaluate…

Q: Hi There! I need help with this simulation model problem. I get how to do a basic coin toss using…

A: In this question, we have to create a simulation model problem related to a game show scenario with…

Q: Utilizing a decision table makes things lot simpler when it comes to associating conditions with…

A: 1) A decision table is a systematic and visual representation of various conditions and…

Q: Model checking benefits several disciplines, including security.

A: Model checking is a valuable technique that offers benefits to various disciplines, with security…

Q: ER modeling is one approach in creating a data model. There are several approaches in creating a…

A: Entity Relationship Model (ER Modeling) is a graphical approach to database design. It is a…

Q: Answer the following questions based upon the training examples shown in table below for a binary…

A: Answer: Our instruction is answer the first three part from the first part and . I have given…

Q: Only by seeing how well a model performs on test data can its accuracy be determined. elaborate on;…

A: HI THEREI AM ADDING ASNWER BELOWPLEASE GO THROUGH ITTHANK YOU

Q: Consider the following scenario: you've been tasked with developing a logical model of a school or…

A: Introduction: Justification: A top-down or bottom-up approach is preferable to build a logical model…

Q: A partially completed version of the worksheet is shown below. To complete the spreadsheet, you need…

A: complete worksheet: Customer Name Program Current price units sold total sale amount of discount…

Q: In classification and regression trees (CART), it is done by the model itself, based on how dirty it…

A: Even though CART do not provide the best results in classification it is useful for a previous…

Q: Can a model include several dependent variables?   Can decision problems contain several…

A: Decision problems often involve multiple variables, including both independent and dependent…

Q: First, is it possible for a model to include several dependent variables?   Can there be more than…

A: As per out policy we are only able to solve the first three questions . Please post other questions…

Q: If all that is known about a variable is its "type," then the information that may be gathered may…

A: The answer is given below step.

Q: A satisficing model will discover a decent, but not necessarily the best, solution to a problem.…

A: Here is the answer:

System Model Approaches

The systems model approach is a process-oriented representation that emphasizes the impact or flow of information between modules. The multidisciplinary study of the use of models to design and create systems in business and IT development is known as systems model approach. It models how processes interact and what these processes do, but it does not go into detail about how these processes are implemented. Functional decomposition may be utilized to enhance the models employed in this technique, and they can be coupled to requirements models for additional system partitioning.