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BUAN 6341 EXAM 1 Questions with Correct Answers
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BUAN 6341 EXAM 1 Questions with Correct Answers
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BUAN 6341 EXAM 1 Questions with Correct AnswersUnsupervised learning Correct Answer-Group data based on input data
only, no response data
Supervised learning Correct Answer-Build models based on both input
and output data
Reinforcement learning Correct Answer-Algorithms learn by reacting to
the environment
Parametric algorithm Correct Answer-A learning model that summarizes
data with a set of parameters with a fixed size independent of the
number of training examples. Model decides how many parameters it
needs
Nonparametric algorithm Correct Answer-Do not make strong
assumptions about the form of the mapping function, can learn any
functional form
Nonparametric alogorithm Correct Answer-What type of algorithm runs
more of a risk of overfitting the training data?
Bias Correct Answer-Average of differences between predicted and
actual values
, Classification Correct Answer-The following are metrics for what type
of model?:
Confusion matrix, accuracy, sensitivity/specificity, area under ROC
curve, precision
True positive vs false positive Correct Answer-The ROC curve plots
what against what?
Clustering Correct Answer-What unsupervised approach puts data in
groups?
Clustering Correct Answer-The follow are performance metrics for what
type of approach?:
Inter-cluster distance, intra-cluster distance, elbow method, Davies-
Bouldin index, Jaccard index, purity
Markov decision process Correct Answer-Reinforcement learning solves
what?
Local minimum Correct Answer-Gradient descent is repeated until it
converges at a what?
May not converge Correct Answer-What is a possible issue with a high
learning rate for gradient descent?
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