import pandas as pd
from sklearn import svm, metrics
xor_input = [
[0, 0, 0],
[0, 1, 1],
[1, 0, 1],
[1, 1, 0]
]
xor_df = pd.DataFrame(xor_input)
xor_data = xor_df.ix[:,0:1]
xor_label = xor_df.ix[:,2]
clf = svm.SVC()
clf.fit(xor_data, xor_label)
pre = clf.predict(xor_data)
ac_score = metrics.accuracy_score(xor_label, pre)
print(" 正解率=", ac_score)
[vagrant@localhost python]$ python3 app.py
/home/vagrant/.pyenv/versions/3.5.2/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
return f(*args, **kwds)
/home/vagrant/.pyenv/versions/3.5.2/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
return f(*args, **kwds)
/home/vagrant/.pyenv/versions/3.5.2/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
return f(*args, **kwds)
/home/vagrant/.pyenv/versions/3.5.2/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
return f(*args, **kwds)
/home/vagrant/.pyenv/versions/3.5.2/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
return f(*args, **kwds)
/home/vagrant/.pyenv/versions/3.5.2/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
return f(*args, **kwds)
正解率= 1.0
こりゃあかん、プログラミングやり始めた時と全く同じだ。
何故こう動いているか理解できん。
