chi square Test
p val < 0.1 

Train Test Validation split ratio ** 70:20:10
SSS No.of folds ** 10

Random search params
scores = AUC,precision,accuracy
refit criterion = AUC

KNN params:
2 < n_neighbors < 5
metric = euclidean,manhattan,minkowski

Logistic Regression:
penalty = l1,none
solver = default
c = 0.1 geomspace,no.of elements =3

SVC
params = {'C' : [1,10,100], 'kernel' : ['rbf', 'linear'], 'gamma' : ['scale', 'auto']}

Random Forest Classifier
params = {'n_estimators' : [10,100,200], 'criterion' : ['gini', 'entropy']}

Decision Trees
params = {'criterion' : ['gini', 'entropy'], 'splitter' : ['best', 'random']}

Naive Bayes(Gaussian)
default parameters
