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The following are the gender distributions of our datasets calculated by @gabrielrueda .
RESULTS: dblp (filtered, OpeNTF0.1) Male (True) percent: 85.79% (12194) Female (False) percent: 14.21% (2020) NULL percent: 0.00% (0) Total Count: 14214
RESULTS: imdb(filtered, OpeNTF0.1) Male (True) percent: 87.67% (1763) Female (False) percent: 12.33% (248) NULL percent: 0.00% (0) Total Count: 2011
RESULTS: uspt(filtered, OpeNTF0.1) Male (True) percent: 86.14% (11124) Female (False) percent: 7.09% (916) NULL percent: 6.77% (874) Total Count: 12914
The text was updated successfully, but these errors were encountered:
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The following are the gender distributions of our datasets calculated by @gabrielrueda .
RESULTS: dblp (filtered, OpeNTF0.1)
Male (True) percent: 85.79% (12194)
Female (False) percent: 14.21% (2020)
NULL percent: 0.00% (0)
Total Count: 14214
RESULTS: imdb(filtered, OpeNTF0.1)
Male (True) percent: 87.67% (1763)
Female (False) percent: 12.33% (248)
NULL percent: 0.00% (0)
Total Count: 2011
RESULTS: uspt(filtered, OpeNTF0.1)
Male (True) percent: 86.14% (11124)
Female (False) percent: 7.09% (916)
NULL percent: 6.77% (874)
Total Count: 12914
The text was updated successfully, but these errors were encountered: