I install myself. I imagine it’s a bit like being a gymnast on a pommel horse – your hands have to support your weight and move you across the cabin, while your feet merely scurry across the flat floor. The pedals and steering wheel can be adjusted with spanners, the carbon ...
2.4 Cabin & Deck Cabin的缺失值比较多,且无法判断预测这个信息,因此我们用Unknwon('U')来填充;填充完Cabin之后,我们将Cabin对应的甲板(Deck)提取出来,即Cabin每个值的首位英文字母。 # 缺失值填充 full['Cabin'] = full['Cabin'].fillna('U') # 查看填充后有无缺漏 full['Cabin'].isnull().sum()) #...
缺失值情况 :Cabin > Age > Embarked (数量从大到小排序) 数值型数据 :PassengerId,Age,Fare,SibSp,Parch 类别数据 :Survived,Sex,Embarked,Pclass 混合型数据:Ticket,Cabin 测试数据集 列数:11个特征 数据类型 : 6个特征是整数或浮点数,5个特征是字符串 缺失值情况 :Cabin > Age > Fare (数量从大到小...
"fellow_type","Embarked","Cabin","Ticket","Title")valsubOneHotCols = stringCols.map(cname =>s"${cname}_index")valindex_transformers:Array[org.apache.spark.ml.PipelineStage] = stringCols.map(
Cabin - 舱位有大量的缺失值,超过3/4,后续看情况 Embarked - 登船的港口有2个缺失值 连续型数据的大概情况 Survived - 训练集中819名乘客的生存率为38.4% Pclass - 舱位等级,中位数为3即不少于一半为三等舱 Age - 有小于一岁的婴儿 SibSp - 兄弟姐妹及配偶,大部分并没有亲戚同行 ...