tensorflowのmodel.evaluateで起こるエラーの解決

下記の通り、mode.evaluateでエラーが出ており次に進めない状況となっています。
このエラーでの対策をご教授願いたいと思います。

python3
1text = np.loadtxt('outPut.csv', delimiter=',')
2    FEATURE = text[:, :2]
3    LABEL = text[:, 2]
4
5
6    FEATURE = FEATURE / 64.0
7
8    model = tf.keras.Sequential([
9        tf.keras.layers.Dense(2, activation='relu'),
10        tf.keras.layers.Dense(9, activation='softmax')
11    ])
12
13    model.compile(optimizer='adam',
14                  loss='sparse_categorical_crossentropy',
15                  matrics=['accuracy'])
16
17    model.fit(FEATURE, LABEL, epochs=100)
18
19    test_loss, test_acc = model.evaluate(FEATURE, LABEL)
20
21    print('\nTest accuracy:', test_acc)

log
1Traceback (most recent call last):
2  File "<input>", line 1, in <module>
3  File "/Applications/Jetbrains/apps/PyCharm-P/ch-0/192.6603.34/PyCharm.app/Contents/helpers/pydev/_pydev_bundle/pydev_umd.py", line 197, in runfile
4    pydev_imports.execfile(filename, global_vars, local_vars)  # execute the script
5  File "/Applications/Jetbrains/apps/PyCharm-P/ch-0/192.6603.34/PyCharm.app/Contents/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
6    exec(compile(contents+"\n", file, 'exec'), glob, loc)
7  File "/Users/azuma.t/git/tensorflow-hevc/20190917.py", line 70, in <module>
8    test_loss, test_acc = model.evaluate(FEATURE, LABEL)
9TypeError: cannot unpack non-iterable numpy.float64 objec

data
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332.0,64.0,1
432.0,64.0,5
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1932.0,16.0,4
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2132.0,24.0,0...