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:

DO YOU KNOW WHY YOUR FRIENDS ARE POSTING BETTER GRADES THAN YOU? — THEY ARE PROBABLY USING OUR WRITING SERVICES. Place your order and get a quality paper today. Take advantage of our current 15% discount by using the coupon code WELCOME15.


Order a Similar Paper Order a Different Paper

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:

  • l2 penalties (or none). When using l2 penalties, what is the correct C coefficient?
  • type of algorithm/solver to use
  • type of way of handling multi-class (number of classes > 2)
  • preprocessing – do you need to center/scale the data before hand?

    • My guess is no – all the features are in the same scale, but it should be verified

And with Support Vector Machines (read: https://scikit-learn.org/stable/modules/svm.html), explore:

  • Different multi-class parameters
  • LinearSVC vs SVC
  • For SVC, different kernels
  • Different margin

With Classification trees (https://scikit-learn.org/stable/modules/tree.html#tree), sklearn has two types:

  • Decision Trees (https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html#sklearn.tree.DecisionTreeClassifier)
  • Extra Tree Classification (https://scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html#sklearn.tree.ExtraTreeClassifier). I never used this one.

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

Do you require writing assistance from our best tutors to complete this or any other assignment? Please go ahead and place your order with us and enjoy amazing discounts.


Order a Similar Paper Order a Different Paper