问题描述
import pandas as pd
from sklearn.linear_model import LogisticRegression
import xlrd
data=pd.read_excel(r"C:\Users\owner\Desktop\spreadspoke_scores99.xlsx")
data.head()
from sklearn.model_selection import train_test_split
x=[["Third_Down_Pcts","Pass_Ints","Pass_Yds","Pass_Ydsz","Pass_Intz","Third_Down_Pctz"]]
y=[["First_Downs","First_Downz"]]
x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.33,random_state=42)
regression=LogisticRegression(max_iter=1000)
regression.fit(x_train,y_train)
print("Train accuracy: ",regression.score(x_train,y_train))
print()
print("Test accuracy: ",regression.scorex_test,y_test)
解决方法
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