GitHub - xmkrohannon/Cloud-Computing: The goal of this project was to develop a cloud-based lung cancer classification machine learning model. To this end, 3 different lung cancer datasets were concatenated and combined along common genes. The features from this data set were analyzed using a Random Forest classifier to determine feature importance. The feature importances were evaluated using a standard z-score statistic test, using 2 as the cutoff value, the top ≈2% of features were selected (129 of 5233). Those features were fed into numerous machine learning models, with the best performing model being SVM with a linear kernel, with >90% accuracy.

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The goal of this project was to develop a cloud-based lung cancer classification machine learning model. To this end, 3 different lung cancer datasets were concatenated and combined along common genes. The features from this data set were analyzed using a Random Forest classifier to determine feature importance. The feature importances were eval…

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Distribution_of_Z-scores.png		Distribution_of_Z-scores.png
Final_Report.docx		Final_Report.docx
Labeled_Cancer_Data.csv		Labeled_Cancer_Data.csv
Project_Proposal.docx		Project_Proposal.docx
Project_RF.ipynb		Project_RF.ipynb
Significant_Features.txt		Significant_Features.txt