WisconsinBreastCancerDiagnostic (WBCD) dataset

The dataset has following nine features and takes integer value from 1 to 10. clump thickness, uniformity of cell size, uniformity of cell shape, marginal adhesion, single epit helical cell size, bare nucleoi, bland chromatin, normal nuclei, mitoses

WBCD_With_FScore.ipynb -

Feature selection using F-score, then use logistic regression, Neural network and K-NN for prediction

WBCD.ipynb -

Data cleaning, visualize data statistics Used logistic regression,and K-NN classifiers