Breast cancer detection
The aim of the experiment was to predict on based on some provided parameters whether the brest cancer is prevalent or not.
The data included 9 feature set such as the tumour size along with the identifier class predicting 1 as Cancer tumour being malignant and 0 as tumour being benign.
The algorithms chosen for the same were Naive bayes Classifier and two class decision forest for the comparison. The accuracy obtained was nearly same.
