Why is the accuracy for my Keras model always 0 when training?

Question

I\'m pretty new to keras I have built a simple network to try:

import numpy as np;

from keras.models import Sequential;
from keras.layers import Dense,Activ         


        

Answer 1

Try this one.

while trying to solve the Titanic problem from kaggle, I forgot to fill the missing data from the Dataframe, because of which the missing data was filled with "nan".

The model threw a similar output

#------------------------------------------------------

Epoch 1/50

891/891 [==============================] - 3s 3ms/step - loss: 9.8239 - acc: 0.0000e+00

Epoch 2/50

891/891 [==============================] - 1s 2ms/step - loss: 9.8231 - acc: 0.0000e+00

Epoch 3/50

891/891 [==============================] - 1s 1ms/step - loss: 9.8231 - acc: 0.0000e+00

Epoch 4/50

891/891 [==============================] - 1s 1ms/step - loss: 9.8231 - acc: 0.0000e+00

Epoch 5/50

891/891 [==============================] - 1s 1ms/step - loss: 9.8231 - acc: 0.0000e+00

#------------------------------------------------------

Make sure you prepare your data before feeding it to the model.

In my case I had to do the following changes

+++++++++++++++++++++++++++++++++++

dataset[['Age']] = dataset[['Age']].fillna(value=dataset[['Age']].mean())

dataset[['Fare']] = dataset[['Fare']].fillna(value=dataset[['Fare']].mean())

dataset[['Embarked']] = dataset[['Embarked']].fillna(value=dataset['Embarked'].value_counts().idxmax())