New classifier most_informative_features

[neomukul]

Hello Team,

I trained a new classifier with some example as shown in link: https://textblob.readthedocs.io/en/dev/classifiers.html#classifiers
But I am getting the most_informative_features as:
fidelity = True as pu : pos = 51.1 : 1.0
% = True calls : pos = 46.0 : 1.0
123 = True spark : pos = 46.0 : 1.0
200 = True outla : pos = 46.0 : 1.0
41 = True calls : pos = 46.0 : 1.0
45 = True calls : pos = 46.0 : 1.0
51 = True unkno : pos = 46.0 : 1.0
75m = True launc : pos = 46.0 : 1.0
93 = True falli : pos = 46.0 : 1.0
about = True says : pos = 46.0 : 1.0
accelerator = True a rev : pos = 46.0 : 1.0
access = True lists : pos = 46.0 : 1.0
acquires = True sees : pos = 46.0 : 1.0

Question: I am not able to interpret the result, can you help me because every word is TRUE and POS and have a number but there is no explanation of it.