Pythonでの機械学習のf1_score部分でのエラーについて

feature_df01 = get_train("OpenBCI-RAW-ita01.txt", 6.67, list01)
feature_df02 = get_train("OpenBCI-RAW-ita02.txt", 7.14, list02)
feature_df03 = get_train("OpenBCI-RAW-ita03.txt", 7.52, list03)

train_feature = pd.concat([feature_df01, feature_df02])

labels_t = feature_df03['labels']
labels_t = np.array(labels_t.values.flatten())
del feature_df03['labels']

labels = train_feature['labels']
labels = np.array(labels.values.flatten())
del train_feature['labels']

y_train = labels[:90]
y_test = labels_t

pca = PCA(n_components=50)
pca.fit(train_feature)
X_train = pca.transform(train_feature)

train_feature = pd.DataFrame(train_feature)

lda = LDA(n_components=2)
lda.fit(X_train, y_train)
X_train = lda.transform(X_train)

X_test = np.empty((45, 2), dtype='float32')

for i in range(1, 45):
    X = feature_df03.ix[i, :]
    X = X.reshape(1, -1)
    X = pca.transform(X)
    X = lda.transform(X)

    np.append(X_test, X)

X_test1 = X_test[:15, :]
y_test1 = y_test[:15]
X_test2 = X_test[15:30, :]
y_test2 = y_test[15:30]
X_test3 = X_test[30:45, :]
y_test3 = y_test[30:45]

print(X_test1.shape,X_test2.shape,X_test3.shape)
print(len(y_test1),len(y_test2),len(y_test3))
forest = RandomForestClassifier(n_estimators=300, min_samples_split=2, max_depth=3, max_features='auto')
forest.fit(X_train, y_train)

w1 = f1_score(y_test1, forest.predict(X_test1),average = 'micro')

w2 = f1_score(y_test2, forest.predict(X_test2),average = 'micro')

w3 = f1_score(y_test3, forest.predict(X_test3),average = 'micro')

print(w1,w2,w3)

以上のようなコードを書いたのですが、

Traceback (most recent call last):
  File "forest_pca1.4.py", line 376, in <module>
    w1 = f1_score(y_test1, forest.predict(X_test1),average = 'micro')
  File "/Users/beta/.pyenv/versions/anaconda3-4.1.1/lib/python3.5/site-packages/sklearn/ensemble/forest.py", line 538, in predict
    proba = self.predict_proba(X)
  File "/Users/beta/.pyenv/versions/anaconda3-4.1.1/lib/python3.5/site-packages/sklearn/ensemble/forest.py", line 578, in predict_proba
    X = self._validate_X_predict(X)
  File "/Users/beta/.pyenv/versions/anaconda3-4.1.1/lib/python3.5/site-packages/sklearn/ensemble/forest.py", line 357, in _validate_X_predict
    return self.estimators_[0]._validate_X_predict(X, check_input=True)
  File "/Users/beta/.pyenv/versions/anaconda3-4.1.1/lib/python3.5/site-packages/sklearn/tree/tree.py", line 373, in _validate_X_predict
    X = check_array(X, dtype=DTYPE, accept_sparse="csr")
  File "/Users/beta/.pyenv/versions/anaconda3-4.1.1/lib/python3.5/site-packages/sklearn/utils/validation.py", line 453, in check_array
    _assert_all_finite(array)
  File "/Users/beta/.pyenv/versions/anaconda3-4.1.1/lib/python3.5/site-packages/sklearn/utils/validation.py", line 44, in _assert_all_finite
    " or a value too large for %r." % X.dtype)
ValueError: Input contains NaN, infinity or a value too large for dtype('float32').

以上のようなエラーが出たり出なかったりします。
どのようなことが原因なのでしょうか。
よろしくお願いいたします。