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初级

Weekly数据集QDA分类

未完成
初级参考 完整示例代码供参考，建议自己理解后重新输入 
import pandas as pd
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
from sklearn.metrics import accuracy_score, confusion_matrix
weekly = pd.read_csv('https://liangdaima.com/static/data/statistics/Weekly.csv')
weekly['Direction'] = (weekly['Direction'] == 'Up').astype(int)
train = weekly[weekly['Year'] <= 2008]
test = weekly[weekly['Year'] >= 2009]
X_train = train[['Lag2']]
y_train = train['Direction']
X_test = test[['Lag2']]
y_test = test['Direction']
qda = QuadraticDiscriminantAnalysis()
qda.fit(X_train, y_train)
pred = qda.predict(X_test)
print('QDA混淆矩阵:')
print(confusion_matrix(y_test, pred))
print('QDA准确率:', accuracy_score(y_test, pred))

示例

输入
solve()
期望输出
QDA混淆矩阵:
[[ 0 43]
 [ 0 61]]
QDA准确率: 0.5865384615384616
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