Pipeline(steps=[('preprocessor',
ColumnTransformer(transformers=[('num',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='median'))]),
['age', 'serum_bilirubin',
'serum_cholesterol',
'albumin',
'alkaline_phosphatase',
'SGOT', 'platelets',
'prothrombin_time']),
('cat',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='most_frequent')),
('OneHotEnc...
'presence_of_hepatomegaly',
'presence_of_spiders']),
('ord',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='most_frequent')),
('OrdinalEncoder',
OrdinalEncoder(categories=[['0',
'0.5',
'1']]))]),
['presence_of_edema'])])),
('RandomForestClassifier',
RandomForestClassifier(criterion='entropy', max_features=0.1,
min_samples_leaf=6,
min_samples_split=8))])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. Pipeline(steps=[('preprocessor',
ColumnTransformer(transformers=[('num',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='median'))]),
['age', 'serum_bilirubin',
'serum_cholesterol',
'albumin',
'alkaline_phosphatase',
'SGOT', 'platelets',
'prothrombin_time']),
('cat',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='most_frequent')),
('OneHotEnc...
'presence_of_hepatomegaly',
'presence_of_spiders']),
('ord',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='most_frequent')),
('OrdinalEncoder',
OrdinalEncoder(categories=[['0',
'0.5',
'1']]))]),
['presence_of_edema'])])),
('RandomForestClassifier',
RandomForestClassifier(criterion='entropy', max_features=0.1,
min_samples_leaf=6,
min_samples_split=8))])ColumnTransformer(transformers=[('num',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='median'))]),
['age', 'serum_bilirubin', 'serum_cholesterol',
'albumin', 'alkaline_phosphatase', 'SGOT',
'platelets', 'prothrombin_time']),
('cat',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='most_frequent')),
('OneHotEncoder',
OneHotEncoder(drop='if_binary',
handle_unknown='ignore',
sparse=False))]),
['drug', 'sex', 'presence_of_asictes',
'presence_of_hepatomegaly',
'presence_of_spiders']),
('ord',
Pipeline(steps=[('SimpleImputer',
SimpleImputer(strategy='most_frequent')),
('OrdinalEncoder',
OrdinalEncoder(categories=[['0',
'0.5',
'1']]))]),
['presence_of_edema'])])['age', 'serum_bilirubin', 'serum_cholesterol', 'albumin', 'alkaline_phosphatase', 'SGOT', 'platelets', 'prothrombin_time']
SimpleImputer(strategy='median')
['drug', 'sex', 'presence_of_asictes', 'presence_of_hepatomegaly', 'presence_of_spiders']
SimpleImputer(strategy='most_frequent')
OneHotEncoder(drop='if_binary', handle_unknown='ignore', sparse=False)
['presence_of_edema']
SimpleImputer(strategy='most_frequent')
OrdinalEncoder(categories=[['0', '0.5', '1']])
RandomForestClassifier(criterion='entropy', max_features=0.1,
min_samples_leaf=6, min_samples_split=8)