## Spring 2018 CS7641 Assignment1: Supervised Learning ### Description The code takes csv files of two different data sets "breast-cancer-wisconsin.csv" and "HTRU_2.csv". It outputs cross-validation curve/heatmap and learning curve images to the directory “exported figures/HTRU_2” and “exported figures/bcdt". It writes to the console the prediction metrics (AUC, F1 and accuracy scores, learn and predict times) for different learning algorithms. ### Software Requirements Python 2.7, matplotlib 2.2.2, numpy 1.15.1, pandas 0.23.4, scikit-learn 020rc1, scipy 1.0.0 ### Code “analyze_pulsar.py” : analyzing "HTRU_2.csv", the HTRU2 pulsar data set “analyze_bcdt.py” : analyzing "breast-cancer-wisconsin.csv", the Breast Cancer Wisconsin (Prognostic) data set ### Other Files "README.txt": instructions for running the code "xwang738-analysis.pdf": report file “breast-cancer-wisconsin.csv”: data for the Breast Cancer Wisconsin (Diagnostic) Data Set "breast-cancer-wisconsin.names": information regarding the Breast Cancer Wisconsin (Diagnostic) Data Set "HTRU_2.csv": data for the HTRU2 dataset "HTRU_2_info.txt": information regarding the HTRU2 dataset "/exported figures": directory for output images