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tf.keras.metrics.binary_accuracy

Calculates how often predictions match binary labels.

Standalone usage:

y_true = [[1], [1], [0], [0]]
y_pred = [[1], [1], [0], [0]]
m = tf.keras.metrics.binary_accuracy(y_true, y_pred)
assert m.shape == (4,)
m.numpy()
array([1., 1., 1., 1.], dtype=float32)

y_true Ground truth values. shape = [batch_size, d0, .. dN].
y_pred The predicted values. shape = [batch_size, d0, .. dN].
threshold (Optional) Float representing the threshold for deciding whether prediction values are 1 or 0.

Binary accuracy values. shape = [batch_size, d0, .. dN-1]