I have built a LSTM model to predict duplicate questions on the Quora official dataset. The test labels are 0 or 1. 1 indicates the question pair is duplicate. After building the model using
model.fit, I test the model using
model.predict on the test data. The output is an array of values something like below:
[ 0.00514298] [ 0.15161049] [ 0.27588326] [ 0.00236167] [ 1.80067325] [ 0.01048524] [ 1.43425131] [ 1.99202418] [ 0.54853892] [ 0.02514757]
I am only showing the first 10 values in the array. I don't understand what do these values mean and what is the predicted label for each question pair?