Column A   Column B    AnnualFee   ColumnD ColumnE
 4500       3.9          5%         2.1      7
 4500       3.9          10%        2.1      7
 4500       3.9          15%        2.1      7
 4500       3.9          20%        2.1      7
 4500       3.9          25%        2.1      7

rf = RandomForestClassifier(n_estimators = 400,random_state = 0,
min_samples_split=2,min_samples_leaf=5,
                      class_weight = {0:.0001,1:.9999})
rf.fit(X_train, Y_train )

from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import GridSearchCV
clf_4 = RandomForestClassifier(class_weight = {0:1,1:5})
estimators_range = np.array([2,3,4,5,6,7,8,9,10,15,20,25])
depth_range = np.array([11,21,35,51,75,101,151,201,251,301,401,451,501])
kfold = 5
skf = StratifiedKFold(n_splits = kfold,random_state = 42)

model_grid = [{'max_depth': depth_range, 'n_estimators': estimators_range}]
grid = GridSearchCV(clf_4, model_grid, cv = StratifiedKFold(n_splits = 5,
random_state = 42),n_jobs = 8, scoring = 'roc_auc')
grid.fit(X_train,Y_train)