Skip to content

Latest commit

 

History

History
14 lines (8 loc) · 646 Bytes

README.md

File metadata and controls

14 lines (8 loc) · 646 Bytes

Cancer-Cell-Classifier-High-Acc

Predict which cell is cancerous with 96% accuracy using SVM machine learning algorithm.

The model is very accurate verified by F1 score, jaccard index and confusion matrix.

Support Vector Machine(SVM) Algorithm:

            *Projects data to the higher-dimensions, than classifies them using a kernel.
            
            *Kernel function can be selected among linear, polynomial, RBF, and sigmoid. All are present in main.ipynb.
            
            *This algorithm fits very well for the data since our data is not very big.

The dataset is present in the repo.