spot check

>>> # Spot Check Algorithms
… models = []
>>> models.append((‘LR’, LogisticRegression(solver=’liblinear’, multi_class=’ovr’)))
>>> models.append((‘LDA’, LinearDiscriminantAnalysis()))
>>> models.append((‘KNN’, KNeighborsClassifier()))
>>> models.append((‘CART’, DecisionTreeClassifier()))
>>> models.append((‘NB’, GaussianNB()))
>>> models.append((‘SVM’, SVC(gamma=’auto’)))
>>> # evaluate each model in turn
… results = []
>>> names = []
>>> for name, model in models:
… kfold = model_selection.KFold(n_splits=10, random_state=seed)
File “”, line 2
kfold = model_selection.KFold(n_splits=10, random_state=seed)
^
IndentationError: expected an indented block
>>> cv_results = model_selection.cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)
Traceback (most recent call last):
File “”, line 1, in
NameError: name ‘model’ is not defined
>>> results.append(cv_results)
Traceback (most recent call last):
File “”, line 1, in
NameError: name ‘cv_results’ is not defined
>>> names.append(name)
Traceback (most recent call last):
File “”, line 1, in
NameError: name ‘name’ is not defined
>>> msg = “%s: %f (%f)” % (name, cv_results.mean(), cv_results.std())
Traceback (most recent call last):
File “”, line 1, in
NameError: name ‘name’ is not defined
>>> print(msg)
Traceback (most recent call last):
File “”, line 1, in
NameError: name ‘msg’ is not defined

tried a lot to solve this ….but I am stuck.