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WorksheetsPrediction and Outliers
Total questions: 10
Worksheet time: 5mins
Main difference between classification and prediction lies on
Targeted Attribute Value
Independent variable
Representative variable
Input VAriable
Prediction is the task of predicting continuous (or ordered) values for the given input.State true or false
FALSE
TRUE
The Image depicts the concept og
(a)
Regression analysis is a good choice when all of the predictor variables are
continuous valued
nominal value
categorical value
none of the above
The simplest form of regression model is represented using an
parabolic equation
Hypothesis
Line equation
eclipse equation
A data object that deviates significantly from the normal objects as if it were generated by a different mechanism is termed as
Outliers
Noise
Clusters
data point
Intrusion detection in computer networks
Contextual
Global
Collective
None
Attributes of data objects in contextual outlier analysis will be divided into two groups namely
Collective,response
context,behavoir
context,collective
context,response
If a collection of data points is anomalous with respect to the entire data set, it is termed as a .............. outlier
Collection
Context
Collective
Conservative
Which of the method cannot detect collective outlier effectively
Supervised
Un-supervised
Semi-supervised
Statistical
