How to interpret the inference results obtained from POSES?

[Vishnu Priya]

Hello All,

I tried the bank-sentiment analysis problem with POSES/MOSES. I also got the inference results as mentioned in the txt document.  But i don't understand it. 

The goal is to learn a model that predicts the column Q3, a value between 1 and

11. 

 the command to make inference out of trained model,

$ poses inference -m bank.model -p Q3 -c bankcase.hcs

bankcase.hcs has some words and its count in the text.

great : 1

fee : 0

they : 0

best : 3

servic : 1

After running this command,

I thought each word will be classified and get a specific category (between 1-11). But i got the result as only one centroid value 10.5.

What does this mean?  The data used for training  (bank.dat) has no such category 10.5 in the column Q3. 

 Then Does all the words in the .hcs file belong to same category?. since the output is 10.5, Which category the words belong to 10 or 11?  How should i interpret? 

Thanks in advance,

Vishnu