写在前面
这一点点代码是分享会第一次留项目后我的作业代码，留此备记，也方便为其他同学的Adaboost提供弱分类器。
代码
# coding=utf-8
def predictions_qiu(data):
""" Model with multiple features. Makes a prediction with an accuracy of at least 80%. """
predictions = []
for _, passenger in data.iterrows():
if passenger[3] == 'female':
if passenger[1] <= 2: # female, Pclass 1、2. OVER
predictions.append(1)
else: # female, Pclass 3
if passenger[8] > 23.25: # female, Pclass 3, Fare > 23.25
predictions.append(0)
else: # female, Pclass 3, Fare <= 23.25
if passenger[10] == 'Q': # female, Pclass 3, Fare <= 23.25, Embarked =Q
if passenger[6] > 0: # female, Pclass 3, Fare <= 23.25, Embarked =Q, Parch > 0
predictions.append(0)
else: # female, Pclass 3, Fare <= 23.25, Embarked =C, Parch <= 0
if passenger[8] <= 7.65:
predictions.append(0)
else:
predictions.append(1)
elif passenger[10] == 'C': # female, Pclass 3, Fare <= 23.25, Embarked=C
if passenger[8] > 15.246:
predictions.append(1)
else:
if passenger[8] > 13.863:
predictions.append(0)
else:
predictions.append(0)
else: # female, Pclass 3, Fare <= 23.25, Embarked=S
if passenger[6] > 0:
predictions.append(1)
else:
predictions.append(0)
else: # male
if passenger[4] > 10: # # male, age > 10
predictions.append(0)
else: # male, age < 10
if passenger[5] > 2: # male, age <= 10, SibSp > 2
predictions.append(0)
else: # male, age <= 10, SibSp <=2
if passenger[6] == 0: # male, age <= 10, SibSp <=2, Parch == 0
predictions.append(0)
else: # male, age <= 10, SibSp <=2, Parch > 0
predictions.append(1)
return pd.Series(predictions)
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