A dataset showing the decisions about presence of Heart Disease (HD) based on four attributes (Age, Blood pressure, Cholesterol and Heart rate) is listed in the following table: Age BP CH HR HD Old Low Low Medium No Very old Low Medium Low Yes Old Medium Medium Medium No Old Low Low Low Yes Mild Low Low Medium Yes Very old High Medium Low Yes Very old Medium Medium Low Yes Mild Medium Very high Low Yes Old Low Medium Medium No Very old Medium Very high Medium No Very old Medium Low Medium No Mild Low Medium Medium No Mild Low Medium Medium No Compute the entropy for this data set. What is the information gain for the Heart Rate (HR) feature? Given a choice among Age, Blood pressure, Cholesterol and Heart rate, which feature would the ID3 algorithm choose as the root node for a decision tree. What is the role of information gain and entropy in ID3 algorithm
A dataset showing the decisions about presence of Heart Disease (HD) based on four attributes (Age, Blood pressure, Cholesterol and Heart rate) is listed in the following table: Age BP CH HR HD Old Low Low Medium No Very old Low Medium Low Yes Old Medium Medium Medium No Old Low Low Low Yes Mild Low Low Medium Yes Very old High Medium Low Yes Very old Medium Medium Low Yes Mild Medium Very high Low Yes Old Low Medium Medium No Very old Medium Very high Medium No Very old Medium Low Medium No Mild Low Medium Medium No Mild Low Medium Medium No Compute the entropy for this data set. What is the information gain for the Heart Rate (HR) feature? Given a choice among Age, Blood pressure, Cholesterol and Heart rate, which feature would the ID3 algorithm choose as the root node for a decision tree. What is the role of information gain and entropy in ID3 algorithm
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Subject: Machine Learning
A dataset showing the decisions about presence of Heart Disease (HD) based on four attributes (Age, Blood pressure, Cholesterol and Heart rate) is listed in the following table:
|
Age |
BP |
CH |
HR |
HD |
|
Old |
Low |
Low |
Medium |
No |
|
Very old |
Low |
Medium |
Low |
Yes |
|
Old |
Medium |
Medium |
Medium |
No |
|
Old |
Low |
Low |
Low |
Yes |
|
Mild |
Low |
Low |
Medium |
Yes |
|
Very old |
High |
Medium |
Low |
Yes |
|
Very old |
Medium |
Medium |
Low |
Yes |
|
Mild |
Medium |
Very high |
Low |
Yes |
|
Old |
Low |
Medium |
Medium |
No |
|
Very old |
Medium |
Very high |
Medium |
No |
|
Very old |
Medium |
Low |
Medium |
No |
|
Mild |
Low |
Medium |
Medium |
No |
|
Mild |
Low |
Medium |
Medium |
No |
- Compute the entropy for this data set.
- What is the information gain for the Heart Rate (HR) feature?
- Given a choice among Age, Blood pressure, Cholesterol and Heart rate, which feature would the ID3
algorithm choose as the root node for a decision tree. - What is the role of information gain and entropy in ID3 algorithm?
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