TensorFlow 1 version | View source on GitHub |
Calculates how often predictions matches binary labels.
tf.keras.metrics.binary_accuracy(
y_true, y_pred, threshold=0.5
)
Args | |
---|---|
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. |
Returns | |
---|---|
Binary accuracy values. shape = [batch_size, d0, .. dN-1]
|