Predicting the survival estimate of a patient with either lung or breast cancer using RF (random forest). ############################ #README #========================== #CS542 Final Project #========================== ############################ #finalDataLung.py #——————————————— #Used to parse through json and tsk files (lung_clinical.json, lung-biospecimen.json, lung-survival-plot.json, and lungData.tsv) #and output a csv file (lungFinalData.csv) that is to be used later in our Random Forest Algorithm (RFA)
############################ #finalDataBC.py #——————————————— #Similar to finalDataLung.py but this handles the data for breast cancer (breast_clinical_cases.json, breast-survival-plot.json and breastData.tsv) and #outputs breastFinalData.csv
############################ #processDataLung.py #——————————————— #Handles missing values of lungFinalData.csv and changes categorical data into quantitative data and the result is written #in processDataLung.csv.
############################ #processDataBC.py #——————————————— #Handles missing values of breastFinalData.csv and changes categorical data into quantitative data and the result is written #in processDataBC.csv
############################ #randomForestLung.py #——————————————— #Creates multiple Random Forests with different combinations of features and parameters from lungFinalData.csv and output the #different results (by error%) into a text file called lungrun.txt
############################ #randomForestBC.py #——————————————— #Similar to randomForestLung.py but handles breastFindalData.csv instead and the results are written into bcrun.txt
############################ #runLung.py #——————————————— #Runs randomForestLung.py five times and creates lungProperties.csv and lungMae.csv
############################ #runBC.py #——————————————— #Runs randomForestBreast.py five times and creates bcProperties.csv and bcMae.csv
############################ #oneRun.py #——————————————— #Creates MAElist.txt which lists all 324 mean absolute errors from one run on the specified feature from the runBC.py or runLung.py output
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