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random-forest-classifier

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URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval

  • Updated Mar 28, 2020
  • Python
jonlandrum
jonlandrum commented Sep 1, 2020

Synopsis
The program requires a computer with very generous resources available. If those resources are not available, the program will crash with an error stating such.

Acceptance Criteria

  • Add arguments to the file make_dataset.py to accept a pref_name count value, and set the value to 100 by default
  • Use this parameter on line 66 instead of hard-coding the expression `count

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

  • Updated Jun 5, 2019
  • Jupyter Notebook

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