Both examples use the same input. The input table is generated from the output of the StringSimilarity function, using the following SQL query and adding the match_tag column (which is used for the supervised FellegiSunter function).
DROP TABLE IF EXISTS fstrainer_input;
CREATE FACT TABLE fstrainer_input (PARTITION KEY (id)) AS
SELECT * FROM StringSimilarity (
ON strsimilarity_input PARTITION BY ANY
ComparisonColumnPairs (
'jaro (src_text1 , tar_text ) AS jaro1_sim',
'LD (src_text1 , tar_text, 2) AS ld1_sim',
'n_gram (src_text1 , tar_text, 2) AS ngram1_sim',
'jaro_winkler (src_text1 , tar_text, 2) AS jw1_sim'
)
CaseSensitive ('true')
Accumulate ('id','src_text1','tar_text')
);
ALTER TABLE fstrainer_input
ADD column match_tag varchar;
update fstrainer_input set match_tag= 'M' where id = 1;
update fstrainer_input set match_tag= 'M' where id = 2;
update fstrainer_input set match_tag= 'M' where id = 3;
update fstrainer_input set match_tag= 'U' where id = 4;
update fstrainer_input set match_tag= 'U' where id = 5;
update fstrainer_input set match_tag= 'M' where id = 6;
update fstrainer_input set match_tag= 'U' where id = 7;
update fstrainer_input set match_tag= 'M' where id = 8;
update fstrainer_input set match_tag= 'M' where id = 9;
update fstrainer_input set match_tag= 'U' where id = 10;
update fstrainer_input set match_tag= 'U' where id = 11;
update fstrainer_input set match_tag= 'U' where id = 12;
SELECT * FROM fstrainer_input ORDER BY 1;