#And = 모두가 1일경우에 1. 하나라도 거짓이면 거짓이다.
import numpy as np
from sklearn.svm import LinearSVC
from sklearn.metrics import accuracy_score
#1. 데이터
x_data = [[0,0], [0,1], [1,0], [1,1]]
y_data = [0, 0, 0, 1]
#2. 모델
model = LinearSVC()
#3. 훈련
model.fit(x_data, y_data)
#4. 평가 예측
y_predict = model.predict(x_data)
result = model.score(x_data, y_data)
print('model.score :', result)
acc = accuracy_score(y_data, y_predict)
print('accuracy_score :', acc)
m03_2_or
m03_3_xor
m03_4_xor2
m03_5_xor_keras1
m03_6_xor_keras2