starmoth的博客

import pandas as pd data_all=pd.read_csv(r'C:\Users\lxy\Desktop\input\data_all.csv') #对数据集37分 from sklearn.model_selection import train_test_split features=[x for x in data_all.columns if x not in ['...

导入包，并对数据集进行处理 import pandas as pd from sklearn.metrics import precision_score,roc_auc_score from sklearn.metrics import accuracy_score from sklearn.metrics import precision_score#这个就可以用评分函数了 from skle...

网格搜索5折交叉验证对模型进行调参。大部分时间都在等待，就调的比较简单。 1.数据37分 from sklearn.model_selection import GridSearchCV, KFold, train_test_split import pandas as pd import numpy as np from sklearn.metrics import precision_scor...

读取数据集，并对数据集37分 import pandas as pd data_all=pd.read_csv(r'C:\Users\lxy\Desktop\input\data_all.csv') from sklearn.model_selection import train_test_split features=[x for x in data_all.columns if x not ...

1.读入数据 from sklearn.model_selection import GridSearchCV, KFold, train_test_split import pandas as pd import numpy as np from sklearn.metrics import precision_score,roc_auc_score from sklearn.metrics i...

1.读取数据处理后的数据，分割数据 from sklearn.model_selection import GridSearchCV, KFold, train_test_split import pandas as pd import numpy as np from sklearn.metrics import precision_score,roc_auc_score from sklear...

1.又前面直接导入数据预处理和特征工程的数据 from sklearn.model_selection import GridSearchCV, KFold, train_test_split import pandas as pd import numpy as np from sklearn.metrics import precision_score,roc_auc_score from s...