jubins / machinelearning-detecting-twitter-bots Goto Github PK

Hey
So i have a file of tweets but its not exactly in the same order or contain the header fields like your test data, any idea how I can test on this different tweet file ?

I can rearrange the columns to match your test data file but is there an alternative you may have tried?

Hey! I tried to run your project but I got an error like this. How can I fix this?

I executed the code and I get the following error

Training the classifier. Please wait 30 seconds.
Traceback (most recent call last):
File "BotDetection.py", line 169, in <module>
print("Train Accuracy: ", twitter_bot.get_accuracy_score(train_df))
File "BotDetection.py", line 120, in get_accuracy_score
(X_train, y_train, X_test, y_test) = twitter_bot.perform_train_test_split(df)
File "BotDetection.py", line 25, in perform_train_test_split
train, test = df[msk], df[~msk]
TypeError: only integer scalar arrays can be converted to a scalar index

Kindly help me rectify this error

I have seen your algorithm for studying purposes but found that it is not accurate.But coincidentally it showin above 95% accuracy.In the fucntion of the bot_prediction_algorithm() prediction_df is not sorted according to the indexes of the rows,while the train_df is by sequence indexing of the rows.So while finding the accuracy it is coincidentally showing above 95%.When I sorted the prdeiction_df it is showing aroung 69 % of the accuracy.Correct me if I am wrong

Hey
Thanks for posting this

When I run python3 on the program it throws a unicode error
Also I believe the test data set is empy

when I run the code with python2 or python3 it throws this error, even though it worked before.

Training the classifier. Please wait 30 seconds.
Traceback (most recent call last):
File "BotDetection.py", line 152, in
test_df = pd.read_csv(filepath + 'test_data_4_students.csv' , sep='\t', encoding='ISO-8859-1')
File "/usr/local/lib/python3.5/dist-packages/pandas/io/parsers.py", line 655, in parser_f
return _read(filepath_or_buffer, kwds)
File "/usr/local/lib/python3.5/dist-packages/pandas/io/parsers.py", line 411, in _read
data = parser.read(nrows)
File "/usr/local/lib/python3.5/dist-packages/pandas/io/parsers.py", line 1005, in read
ret = self._engine.read(nrows)
File "/usr/local/lib/python3.5/dist-packages/pandas/io/parsers.py", line 1748, in read
data = self._reader.read(nrows)
File "pandas/_libs/parsers.pyx", line 890, in pandas._libs.parsers.TextReader.read (pandas/_libs/parsers.c:10862)
File "pandas/_libs/parsers.pyx", line 912, in pandas._libs.parsers.TextReader._read_low_memory (pandas/_libs/parsers.c:11138)
File "pandas/_libs/parsers.pyx", line 966, in pandas._libs.parsers.TextReader._read_rows (pandas/_libs/parsers.c:11884)
File "pandas/_libs/parsers.pyx", line 953, in pandas._libs.parsers.TextReader._tokenize_rows (pandas/_libs/parsers.c:11755)
File "pandas/_libs/parsers.pyx", line 2184, in pandas._libs.parsers.raise_parser_error (pandas/_libs/parsers.c:28765)
pandas.errors.ParserError: Error tokenizing data. C error: Expected 10 fields in line 3, saw 105