Subject: Artificial Intelligence.All the instructions are provided in the Final Exam.zip file. Please read the instructions file carefully. I mentioned the time(IST) of the exam with a date.

Review Test Submission: FINAL EXAM - F'22228-CSCI580-01-3038 Exams
Review Test Submission: FINAL EXAM - F'22
User Amritvir Randhawa
Course 228-CSCI580-01-3038
Test FINAL EXAM - F'22
Started 12/15/22 12:03 PM
Submitted 12/15/22 2:03 PM
Due Date 12/15/22 2:15 PM
Status Needs Grading
Attempt Score Grade not available.
Time Elapsed 2 hours, 0 minute out of 2 hours
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Question 1
Selected Answer:
PART 1 - BASIC CONCEPTS
35 questions (Q2-36), each worth 2pts. ==> 70pts
By continuing, you agree to adhere to the ACADEMIC HONOR CODE
stated above.
ENTER YOUR INITIALS below.
A.R
Question 2
Selected Answer:
Which of the following is not true about arti�cial neural networks?
All of these are true.
Question 3
Selected Answer: 0.05
mlp3b = NeuralNetworkLearner(train_dataset,
hidden_layer_sizes=[6,4], l_rate=0.05,
epochs=2000, batch_size=100, optimizer=adam,
loss=mean_squared_error_loss, verbose=False,
plot=False)
Refer to the AIMA model generation below to answer the following question...
WHAT IS THE SPECIFIED LEARNING RATE FOR THIS MODEL? (transcribe the number
only, and exactly as it appears in the output, with any leading or trailing zeros). 
Question 4
Needs Grading
2 out of 2 points
2 out of 2 points
2 out of 2 points
Selected Answer: True
Feature data passed into a neural network should typically be normalized to
improve performance potential.
Question 5
Question Selected Match
A.
B.
C.
D.
Match the best term or phrase to each description below. Each term and phrase
will be used precisely one time.
A probabilistic machine learning model
used for classi�cation
Naive Bayes
A biologically inspired machine
learning model.
Arti�cial Neural Network
An collection of multiple simple
models for classi�cation or regression Ensembles, boosting (such as
AdaBoost), bootstrapping or bagging.
Connectivity of a network model. Topology
Question 6
Selected Answer: False
Neural networks are limited by their inability to solve non-linear problems.
Question 7
2 out of 2 points
2 out of 2 points
2 out of 2 points
Selected
Answer:
Refer to the AIMA Classi�er output below to answer the following question:
WHICH OF THE FOLLOWING STATEMENTS DOES NOT ACCURATELY REFLECT THE
MODEL GENERATED ?
mlp3b = NeuralNetworkLearner(train_dataset,
hidden_layer_sizes=[6,4], l_rate=0.05,
epochs=2000, batch_size=100, optimizer=adam,
loss=mean_squared_error_loss, verbose=False,
plot=False)
The training will be completed after 10 times through the entire
dataset.
Question 8
Selected Answer: supervised
Machine Learning models can be categorized according to their method of
learning, as either:
Unsupervised, ________,  Recurrent, or Reinforcement Learning.
Question 9
Selected Answer: 10
mlp3b = NeuralNetworkLearner(train_dataset,
hidden_layer_sizes=[6,4], l_rate=0.05,
epochs=2000, batch_size=100, optimizer=adam,
loss=mean_squared_error_loss, verbose=False,
plot=False)
Refer to the AIMA Classi�er output below to answer the following question:
WHAT IS THE NUMBER OF HIDDEN LAYERS FOR THIS MODEL? (this should be in
integer form). 
 
Question 10
2 out of 2 points
0 out of 2 points
2 out of 2 points
Selected Answer: 90
Refer to the Classi�cation Report below to answer the following question:
HOW MANY EXEMPLARS WERE IN THE DATASET SUMMARIZED IN THE RESULTS
BELOW?
Question 11
Selected Answer: 52
Refer to the Confusion Matrix below to answer the following question:
HOW MANY ACTUAL Class 1 CASES WERE IN THE DATASET SUMMARIZED BY THESE
RESULTS?
(assumes Class Set = {0,1})
 
Question 12
2 out of 2 points
2 out of 2 points
Selected Answer: 0.88
Refer to the Classi�cation Report below to answer the following question:
WHICH VALUE REPRESENTS THE BEST INDICATOR OF CLASS 1 PERFORMANCE,
ACCORDING TO THE HARMONIC MEAN OF COMBINED CLASSES ? 
(transcribe the numeric value below, to the same degree of precision and with any
leading or trailing zero, just as it appears in the summary). 
 
 
Question 13
Selected Answer: 7
Refer to the Confusion Matrix below to answer the following question:
HOW MANY EXEMPLARS WERE IDENTIFIED  INCORRECTLY as Class 1?  (assume
Class Set = {0,1}
 
Question 14
2 out of 2 points
2 out of 2 points
Selected Answer: 38
Refer to the Confusion Matrix below to answer the following question:
HOW MANY ACTUAL Class 0 CASES WERE IN THE DATASET SUMMARIZED BY THESE
RESULTS?
(assumes Class Set = {0,1})
 
 
Question 15
Selected Answer:
Agents may need to handle uncertainty in environments that are 
all of these environments
Question 16
Question Selected Match
C.
B.
D.
A.
BASIC PROBABILITY.  Select the one best phrase for each term. Each phrase and
term will be used precisely once.
The set of all possible outcomes is called the ___ .
sample space
A fully speci�ed ___ associates a numerical probability with
each possible world. probability model
Any subset of the sample space is known as a/an event
A ___ can be satis�ed by multiple outcomes
compound event
Question 17
2 out of 2 points
2 out of 2 points
2 out of 2 points
Selected Answer:
Which of the following is a false reference to Bayes'...