Add metrics files for trained machine learning models

metrics/metrics.csv

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+Model,Accuracy,Precision,Recall,AUC-ROC
+Random Forest,0.86544,0.8734358240972471,0.8337883959044369,0.8635809449401703
+Logistic Regression,0.74736,0.7493540051679587,0.6928327645051194,0.7441573461079813
+K-Nearest Neighbors,0.84112,0.8543724844493231,0.7969283276450512,0.838524404786381
+Support Vector Classifier,0.84256,0.8492462311557789,0.8075085324232082,0.8405012541634113
+Naive Bayes,0.74176,0.7692307692307693,0.6416382252559727,0.7358793535918418
+Neural Network,0.87664,0.889009009009009,0.8419795221843004,0.8746042189234755
+Random Forest (Cross-Validation),0.86544,0.8734358240972471,0.8337883959044369,0.8635809449401703
+Logistic Regression (Cross-Validation),0.74736,0.7493540051679587,0.6928327645051194,0.7441573461079813
+LightGBM (Cross-Validation),0.8728,0.8773418168964299,0.847098976109215,0.8712904519100293

metrics/metrics_train.csv

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+Random Forest,Logistic Regression,K-Nearest Neighbors,Support Vector Classifier,Naive Bayes,Neural Network,Random Forest (Cross-Validation),Logistic Regression (Cross-Validation),LightGBM (Cross-Validation)
+1.0,0.7453866666666666,0.8901866666666667,0.8530133333333333,0.7455466666666667,0.88288,1.0,0.7453866666666666,0.9045866666666667
+1.0,0.7449201741654572,0.9005328596802842,0.8556024378809189,0.7743332882090158,0.8964114832535885,1.0,0.7449201741654572,0.910874897792314
+1.0,0.6979827742520399,0.8618540344514959,0.8272892112420671,0.6482320942883046,0.849274705349048,1.0,0.6979827742520399,0.8837262012692656
+1.0,0.7427552396345833,0.8886139001594574,0.8515853672571407,0.7401446588709305,0.8810145438895148,1.0,0.7427552396345833,0.9034286859660855