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Update Telco_Churn_Feature_Engineering.py #2

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Jan 21, 2024
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Update Telco_Churn_Feature_Engineering.py #2

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5 changes: 1 addition & 4 deletions Telco_Churn_Feature_Engineering.py
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Original file line number Diff line number Diff line change
Expand Up @@ -409,8 +409,6 @@ def cat_summary(dataframe,col_name):

df.groupby("INT_SEC_SERV_GENDER").agg({"Churn": ["mean","count"]})



###############################################
# * 2.3.Processing Encoding and One-Hot Encoding
###############################################
Expand All @@ -437,7 +435,6 @@ def one_hot_encoder(dataframe, categorical_cols, drop_first=True):
ohe_cols = [col for col in df.columns if 30 >= df[col].nunique() > 2]

df = one_hot_encoder(df, ohe_cols)

df.head()

###############################################
Expand All @@ -461,4 +458,4 @@ def one_hot_encoder(dataframe, categorical_cols, drop_first=True):
from sklearn.ensemble import RandomForestClassifier
rf_model = RandomForestClassifier(random_state=46).fit(X_train, y_train)
y_pred = rf_model.predict(X_test)
accuracy_score(y_pred, y_test)
accuracy_score(y_pred, y_test)