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comparison-of-support-vector-machine-and-random-forest-classifiers

https://github.com/kyostib/comparison-of-support-vector-machine-and-random-forest-classifiers

Science Score: 44.0%

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (2.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: kyostib
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.6 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

README

This repo is code for my bachelor's thesis, "Comparing SVM and RF classifiers with sentiment analysis". The code may not be of the highest quality, but it achieves what I need it to. My thesis focus was on how the models work rather than focusing on which one is better.

Owner

  • Login: kyostib
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Comparison of Support Vector Machine and Random Forest
  Classifiers
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Kalle Kyöstiö
    email: kallekyostio@gmail.com
repository-code: >-
  https://github.com/kyostib/Comparison-of-Support-Vector-Machine-and-Random-Forest-Classifiers
abstract: >-
  Scripts for comparing SVM and RF classifiers using
  sentiment analysis. Sentiment data is from SST-2 dataset
  (https://huggingface.co/datasets/stanfordnlp/sst2)

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