https://github.com/agrover112/bcw

Original code for research paper titled "Comparison Based Study to Predict Breast Cancer :A Survey"

https://github.com/agrover112/bcw

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.5%) to scientific vocabulary

Keywords

breast-cancer-prediction breast-cancer-wisconsin dl4j java machine-learning
Last synced: 9 months ago · JSON representation

Repository

Original code for research paper titled "Comparison Based Study to Predict Breast Cancer :A Survey"

Basic Info
  • Host: GitHub
  • Owner: Agrover112
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 664 KB
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Topics
breast-cancer-prediction breast-cancer-wisconsin dl4j java machine-learning
Created over 6 years ago · Last pushed almost 5 years ago
Metadata Files
Readme License

README.md

Comparison Based Study to Predict Breast Cancer :A Survey

Note: Java implementation using Dl4j is added in a seperate folder.

Refer Grover, A., Pradhan, N., & Hemrajani, P. (2020). Comparison-Based Study to Predict Breast Cancer: A Survey for full details.

The following dataset has been taken from UCI Machine Learning Repository.:

Performing Exploratory Analysis

Data Distribution

Pearson's Correlation of features with respect to the target variables represented here.

Matrix

Neural Network Architechture

Adam optimizer has been used here.

  • Input Layer : ReLU

  • Hidden Layer: LeakyReLU

  • Output Layer : Sigmoid

NeuralNetworkDiagram

Results

| Model | Accuracy | F1 Measure | | :------------ |:---------------:| :-----:| | CART | 93.80 | 95.01 | | LR | 94.76 | 95.87 | | SVM | 94.76 | 95.52 | | HVC| 95.23 | 96.23 | | XGBoost | 96.67| 97.37 | | ANN | 95.23| 96.76 |

Owner

  • Login: Agrover112
  • Kind: user

Humans trying to understand machines and people.

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Agrover112 4****2 46

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