Tutorial for Decision Threshold In Machine Learning.

Related tags

Machine LearningDecision-Threshold-ML
Overview

Decision-Threshold-ML

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

Introduction

Tutorial for Decision Threshold In Machine Learning.

Decision Threshold In Machine Learning: GeeksforGeeks

Packages

  • Builtins

  • Packages

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

  • Dev-packages

Notebooks

To view notebook with my codes click here

How to Run

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.

Authors

License

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

Owner
GitHub Repository
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