analyze_removed_questions: Analyze effect of removal of questions on accuracy with...
In tjpajala/vaalikone: Scripts for analysing Finnish Election Machine datasets
Description
Usage
Arguments
Value
Description
Removes questions based on their importance value (starting from least important),
runs Random Forest, and analyzes accuracy.
Usage
1
analyze_removed_questions(data, imp_num, party_col)
Arguments
data
The dataset with questions and party affiliation.
imp_num
Question numbers from least important to most important as vector.
party_col
Column name of party affiliation.
Value
Data frame with class error by removed question.
tjpajala/vaalikone documentation built on May 26, 2019, 9:34 a.m.
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Description Usage Arguments Value
Description
Removes questions based on their importance value (starting from least important), runs Random Forest, and analyzes accuracy.
Usage
1 | analyze_removed_questions(data, imp_num, party_col)
|
Arguments
data |
The dataset with questions and party affiliation. |
imp_num |
Question numbers from least important to most important as vector. |
party_col |
Column name of party affiliation. |
Value
Data frame with class error by removed question.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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