I'm seeing Spam Prediction classifying messages as Spam and Ham made by other person.
The program produces the following values. (loss, accuracy)
In this code, the result is only loss, accuracy,
I think Accuracy has no meaning. I need Precision, Recall value (for F1 measure)
However, since the my code analysis is not working properly, I know Precision and Recall. But I do not know how to calculate(code embedding) Precision and Recall in this code.
I succeeded it myself, hurray !!
here is the code:
actuals = tf.cast(y_output, tf.int64)
predictions = tf.argmax(logits_out, 1)
ones_like_actuals = tf.ones_like(actuals)
zeros_like_actuals = tf.zeros_like(actuals)
ones_like_predictions = tf.ones_like(predictions)
zeros_like_predictions = tf.zeros_like(predictions)
tp_op = tf.reduce_sum(
tf.cast(
tf.logical_and(
tf.equal(actuals, ones_like_actuals),
tf.equal(predictions, ones_like_predictions)
),
"float"
)
)
tn_op = tf.reduce_sum(
tf.cast(
tf.logical_and(
tf.equal(actuals, zeros_like_actuals),
tf.equal(predictions, zeros_like_predictions)
),
"float"
)
)
fp_op = tf.reduce_sum(
tf.cast(
tf.logical_and(
tf.equal(actuals, zeros_like_actuals),
tf.equal(predictions, ones_like_predictions)
),
"float"
)
)
fn_op = tf.reduce_sum(
tf.cast(
tf.logical_and(
tf.equal(actuals, ones_like_actuals),
tf.equal(predictions, zeros_like_predictions)
),
"float"
)
)
I saw confusion matrix open source in github thank you @Mistobaan !! https://gist.github.com/Mistobaan/337222ac3acbfc00bdac
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