model.predict return values

Question

I am working in imdb dataset on reviews, when i want to predict the outcome of the user given input using the model.predict method in tensorflow it gives an array. How to interpret the results from that array?

string = str(input()) new_string = token.texts_to_sequences(string) padded_new_string = pad_sequences(new_string,maxlen = 120, truncating = 'post') print(model.predict(padded_new_string))

Also i used binary classification using sigmoid

model = tf.keras.Sequential([ tf.keras.layers.Embedding(10000,16,input_length = 120), tf.keras.layers.Flatten(), tf.keras.layers.Dense(12,activation = 'relu'), tf.keras.layers.Dense(6,activation = 'relu'), tf.keras.layers.Dense(1,activation = 'sigmoid') ])

Any help will be helpful

Ahmet · Accepted Answer · 2020-07-28 00:15:22Z

1

If I'm not mistaken model.predict returns numpy array for each corresponding prediction of the y_test. To interpret the values you could use evaluate method to find the accuracy of your model

score = model.evaluate(x_test, y_test, verbose=0) print('Test loss:', score[0]) print('Test accuracy:', score[1])

answered Jul 28, 2020 at 0:15

Ahmet

8,1213 gold badges30 silver badges53 bronze badges

Sign up to request clarification or add additional context in comments.

2 Comments

Arihant Kamdar Over a year ago

What about the other values in the array ? they must also tell something about the model.

Ahmet Over a year ago

Maybe you should look at the link The fact is I can't tell precisely what is the output of your predcitions, since I can't test your code. I believe you should look at your y_test and y_pred results to get a meaningful interpretation.

Collectives™ on Stack Overflow

model.predict return values

1 Answer 1

2 Comments

Linked

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

2 Comments

Linked

Related