srujandeshpande/breast-cancer-prediction

Breast Cancer Prediction for Data Analysis Project

Breast Cancer Prediction

Breast Cancer Prediction for Data Analysis Project

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Details

Subject: Data Analytics
Team Name: DataDemystifiers
Team Members:

Name	SRN
Vaibhav Gupta	PES2201800093
Srujan Vasudevrao Deshpande	PES2201800105
Aditya M Shetty	PES2201800169
Safa Hurayn	PES2201800392

Dataset Source

Breast Cancer Wisconsin Dataset from Kaggle https://www.kaggle.com/uciml/breast-cancer-wisconsin-data

Components

Exploratory Data Analysis

The Exploratory Data Analysis for this project was done using R. The results can be found in the file EDA.Rmd.

Prediction

The model used in the project was a Support Vector Machine. The prediction was done using Python and the code can be found in the file Predict.ipynb.

SVM Parameters

C=1.0 break_ties=False cache_size=200 class_weight=None coef0=0.0 decision_function_shape='ovr' degree=3 gamma='scale' kernel='rbf' max_iter=-1 probability=False random_state=None shrinking=True tol=0.001 verbose=False

Genetic Algorithm Parameters

SVC() cv=5 verbose=1 scoring="accuracy" max_features=10 n_population=50 crossover_proba=0.5 mutation_proba=0.2 n_generations=40 crossover_independent_proba=0.5 mutation_independent_proba=0.05 tournament_size=3 n_gen_no_change=10 caching=True n_jobs=1

Useful links

• Dataset Download https://www.kaggle.com/uciml/breast-cancer-wisconsin-data/download
• Prediction Notebook https://colab.research.google.com/drive/11EVPPXdvC3P0ojUXZjiriFeFG62W1QAV?usp=sharing
• Video
• Report