added and ran hyperparam script for all different classifiers, but couldn't successfully run the feature selection and hyperparam together

UQ_pnca_ML.py

@@ -5,6 +5,8 @@ Created on Sun Mar  6 13:41:54 2022
 
 @author: tanu
 """
+
+#https://stackoverflow.com/questions/51695322/compare-multiple-algorithms-with-sklearn-pipeline
 import os, sys
 import pandas as pd
 import numpy as np
@@ -19,7 +21,21 @@ from sklearn.tree import DecisionTreeClassifier
 from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier
 from sklearn.ensemble import AdaBoostClassifier
 from sklearn.ensemble import GradientBoostingClassifier
+from sklearn.ensemble import BaggingClassifier
+from sklearn.naive_bayes import GaussianNB
+from sklearn.gaussian_process import GaussianProcessClassifier
+from sklearn.gaussian_process import kernels
+from sklearn.gaussian_process.kernels import RBF
+from sklearn.gaussian_process.kernels import DotProduct
+from sklearn.gaussian_process.kernels import Matern
+from sklearn.gaussian_process.kernels import RationalQuadratic
+from sklearn.gaussian_process.kernels import WhiteKernel
+
+from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
 from sklearn.neural_network import MLPClassifier
+
+from sklearn.linear_model import RidgeClassifier
+from sklearn.svm import SVC
 from xgboost import XGBClassifier
 from sklearn.naive_bayes import MultinomialNB
 from sklearn.linear_model import SGDClassifier
@@ -87,7 +103,7 @@ rskf_cv = RepeatedStratifiedKFold(n_splits = 10
                                  #, shuffle = False, random_state= None)
                                  #, shuffle = True
                                  ,**rs)
-#my_mcc = make_scorer({'mcc':make_scorer(matthews_corrcoef})
+
 mcc_score_fn = {'mcc': make_scorer(matthews_corrcoef)}
 
 #%%