Online Knime, Logistic regression, Data tutor

Updated: April 07, 2024 12:39 PM GMT

TeacherOn.com

Bahawalpur

URGENTLY NEED SOMEONW WHO KNOWS HWO TO DO KNIME

This is the desc:
For each analysis, partition the data set into training (70%) and test (30%) sets through “Stratified
sampling”. Please make sure to select “Use random seed”.
• Generate a classification (i.e., decision) tree model based on your training data set and test
it on your test data set. Use the following settings for the decision tree:
o Quality measure: Gini index
o Pruning method: MDL
o Check reduced error pruning
o Min number records per node: 2
• Generate a logistic regression model based on your training data set and test it on your test
data set.
• Conduct a K-nearest neighbors’ analysis (k=7).
• Compare the performance of the three approaches (i.e., classification tree, logistic
regression, k-nearest neighbors). Which one do you recommend GCC to use and why?
(The answer to this question should be included in your managerial report)
What to submit:
1. One KNIME workflow for each of the models/analyses above (you should... More Detail