Tutorial for improve skills: 'Decision Threshold In Machine Learning' (from GeeksforGeeks) by Marcus Mariano

For more information about Marcus Mariano: Web site

Contents

1. Introduction
2. Packages
3. Notebooks
4. How to Run
5. Authors
6. License

Tutorial for Decision Threshold In Machine Learning.

Decision Threshold In Machine Learning: GeeksforGeeks

• Builtins

• Packages

  • Pandas
  • Numpy
  • sklearn
    • datasets
    • train_test_split
    • SVC
    • classification_report, recall_score, precision_score, accuracy_score
    • precision_recall_curve
    • RandomForestClassifier

• Dev-packages

To view notebook with my codes click here

Jupyter Notebook Version 6.0.3

Python 3.7.6 (default, Jan  8 2020, 20:23:39) [MSC v.1916 64 bit (AMD64)]
Type 'copyright', 'credits' or 'license' for more information
IPython 7.13.0 -- An enhanced Interactive Python. Type '?' for help.

• Marcus Mariano

Code and documentation are available according to the GNU GENERAL PUBLIC LICENSE Version 3 (see LICENSE).