載入套件

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score

載入資料

urlprefix = 'https://vincentarelbundock.github.io/Rdatasets/csv/' 
dataname = 'datasets/iris.csv'
iris = pd.read_csv(urlprefix + dataname)
iris = iris.drop("Unnamed: 0", 1)

iris.head()

資料處理

• 切割為訓練集與測試集

X = iris.iloc[:, 0:4].values
y = iris.iloc[:, 4].values

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)

• 資料標準化

sc = StandardScaler()
X_train = sc.fit_transform(X_train)
X_test = sc.transform(X_test)

建立LDA模型

model = LinearDiscriminantAnalysis()
model.fit(X_train, y_train)
y_pred = model.predict(X_test)

• 評估結果

cm = confusion_matrix(y_test, y_pred)
print(cm)
print('Accuracy' + str(accuracy_score(y_test, y_pred)))