BRAINSCAPE1
Machine Learning Module 5 Exam with
complete solutions latest version
Basic machine learning approaches include ______ learning: - CORRECT
ANSWER-Supervised, Unsupervised, Semi-supervised, and Reinforcement
If you want to build a machine learning model which can correctly identify emails
which contain span, by training it on emails which are already tagged as 'spam' or
'not spam', you should use _____. - CORRECT ANSWER-supervised learning
Machine learning is _____. - CORRECT ANSWER-Computers learning from
experience with respect to some task and some performance measure
A machine learning model which incorrectly identifies a patient who is actually
healthy, as a diabetic, has returned a result known as _____. - CORRECT
ANSWER-false positive
The proportion of True Positives classified by a machine learning model is known
as the model's _____. - CORRECT ANSWER-sensitivity
In machine learning, a confusion matrix is used to _____. - CORRECT ANSWER-
determine the performance of the model
Clustering methods in machine learning rely on measures of _____. - CORRECT
ANSWER-similarity or distance
Which of the following is an example of a true positive, in the testing of a machine
learning model? - CORRECT ANSWER-predicting that a tumor belongs to the
group 'malignant', when that tumor in fact is malignant
In order to test the performance of a machine learning model, we need to _____
the data. - CORRECT ANSWER-split
The proportion of samples correctly classified by a machine learning model are
known is known as the model's _____. - CORRECT ANSWER-accuracy
BRAINSCAPE1
Machine Learning Module 5 Exam with
complete solutions latest version
Basic machine learning approaches include ______ learning: - CORRECT
ANSWER-Supervised, Unsupervised, Semi-supervised, and Reinforcement
If you want to build a machine learning model which can correctly identify emails
which contain span, by training it on emails which are already tagged as 'spam' or
'not spam', you should use _____. - CORRECT ANSWER-supervised learning
Machine learning is _____. - CORRECT ANSWER-Computers learning from
experience with respect to some task and some performance measure
A machine learning model which incorrectly identifies a patient who is actually
healthy, as a diabetic, has returned a result known as _____. - CORRECT
ANSWER-false positive
The proportion of True Positives classified by a machine learning model is known
as the model's _____. - CORRECT ANSWER-sensitivity
In machine learning, a confusion matrix is used to _____. - CORRECT ANSWER-
determine the performance of the model
Clustering methods in machine learning rely on measures of _____. - CORRECT
ANSWER-similarity or distance
Which of the following is an example of a true positive, in the testing of a machine
learning model? - CORRECT ANSWER-predicting that a tumor belongs to the
group 'malignant', when that tumor in fact is malignant
In order to test the performance of a machine learning model, we need to _____
the data. - CORRECT ANSWER-split
The proportion of samples correctly classified by a machine learning model are
known is known as the model's _____. - CORRECT ANSWER-accuracy
BRAINSCAPE1
