question archive The midterm The idea is for you to explore using logistics regression, support vector machines, decision trees and random forest I want you to explore at least 4 ways of running each one
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The midterm
The idea is for you to explore using logistics regression, support vector machines, decision trees and random forest
I want you to explore at least 4 ways of running each one. As examples:
Using logistics regression there are quite a few parameters:
And with Support Vector Machines (read: https://scikit-learn.org/stable/modules/svm.html), explore:
With Classification trees (https://scikit-learn.org/stable/modules/tree.html#tree), sklearn has two types:
And there are random forest (https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier)
Read the documentation, select the 4+ ways you want to explore each of these 4 classifiers, AND WRITE UP NOTES IN MARKDOWN CELLS Your interpretation and conclusions are really important