How To Use Machine Learning on Lung Cancer with Weka and Python

Author(s): Ashutosh Malgaonkar

Originally published on Towards AI.

I. Dataset Information

Photo by Dmitriy Ermakov on Unsplash

I. Dataset InformationII. Downloading the DataIII. Python Data PrepIV. Weka ImplementationV. AccuracyVI. Confusion MatrixVIII. References

The following information is listed on the source website.

Source:

Francesca Grisoni, Claudia S. Neuhaus, Miyabi Hishinuma, Gisela Gabernet, Jan A. Hiss, Masaaki Kotera, Gisbert Schneidercontact: Francesca Grisoni, ETH Zurich, francesca.grisoni ‘@’ pharma.ethz.ch

Data Set Information:

Membranolytic anticancer peptides (ACPs) are drawing increasing attention as potential future therapeutics against cancer, due to their ability to hinder the development of cellular resistance and their potential to overcome common hurdles of chemotherapy, e.g., side effects and cytotoxicity.This dataset contains information on peptides (annotated for their one-letter amino… Read the full blog for free on Medium.

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Published via Towards AI