Information Gain by Complex Claims Attributes are?
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Looking for attributes that were known within a week of first report in the
claims data for gradually developing complex claims.
Each attribute is independently analyzed for the information gain it
provides in classifying a claim within a week of first report as "complex" or
"not complex."
Validating the Complex Claim Model process involves what steps and done by which
team?
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1. The data science team uses a portion of the claims data to develop the
predictive model.
, 2. A key measure of the predictive model's effectiveness is lift, which is
based on a model's accuracy and precision.
How would a Classification Tree be used to Illustrate Attributes of Complex Claim
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The classification tree technique is used to develop a predictive model
based on the attributes of complex claims. With a machine learning
algorithm, the computer recursively builds a tree by analyzing different
splits in the values of attributes in various sequences
The Lift Percentage is calculated how
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The lift is calculated by dividing the model percentage by the nonmodel
(random assigned claims) percentage.
The data science team can include?
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Claims manager, along with a Data Scientist and an Actuary from the
Review team.
Analysis of known complex claims can provide information -
Give this one a try later!
Looking for attributes that were known within a week of first report in the
claims data for gradually developing complex claims.
Each attribute is independently analyzed for the information gain it
provides in classifying a claim within a week of first report as "complex" or
"not complex."
Validating the Complex Claim Model process involves what steps and done by which
team?
Give this one a try later!
1. The data science team uses a portion of the claims data to develop the
predictive model.
, 2. A key measure of the predictive model's effectiveness is lift, which is
based on a model's accuracy and precision.
How would a Classification Tree be used to Illustrate Attributes of Complex Claim
Give this one a try later!
The classification tree technique is used to develop a predictive model
based on the attributes of complex claims. With a machine learning
algorithm, the computer recursively builds a tree by analyzing different
splits in the values of attributes in various sequences
The Lift Percentage is calculated how
Give this one a try later!
The lift is calculated by dividing the model percentage by the nonmodel
(random assigned claims) percentage.
The data science team can include?
Give this one a try later!
Claims manager, along with a Data Scientist and an Actuary from the
Review team.
Analysis of known complex claims can provide information -
