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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

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

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