Data
speeddating

speeddating

active ARFF Public Domain (CC0) Visibility: public Uploaded 20-04-2021 by esther shin
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit

123 features

has_nullnominal2 unique values
0 missing
wavenumeric21 unique values
0 missing
gendernominal2 unique values
0 missing
agenumeric24 unique values
95 missing
age_onumeric24 unique values
104 missing
d_agenumeric35 unique values
0 missing
d_d_agenominal4 unique values
0 missing
racenominal5 unique values
63 missing
race_onominal5 unique values
73 missing
sameracenominal2 unique values
0 missing
importance_same_racenumeric11 unique values
79 missing
importance_same_religionnumeric10 unique values
79 missing
d_importance_same_racenominal3 unique values
0 missing
d_importance_same_religionnominal3 unique values
0 missing
fieldnominal259 unique values
63 missing
pref_o_attractivenumeric94 unique values
89 missing
pref_o_sincerenumeric78 unique values
89 missing
pref_o_intelligencenumeric65 unique values
89 missing
pref_o_funnynumeric71 unique values
98 missing
pref_o_ambitiousnumeric82 unique values
107 missing
pref_o_shared_interestsnumeric85 unique values
129 missing
d_pref_o_attractivenominal3 unique values
0 missing
d_pref_o_sincerenominal3 unique values
0 missing
d_pref_o_intelligencenominal3 unique values
0 missing
d_pref_o_funnynominal3 unique values
0 missing
d_pref_o_ambitiousnominal3 unique values
0 missing
d_pref_o_shared_interestsnominal3 unique values
0 missing
attractive_onumeric18 unique values
212 missing
sinsere_onumeric14 unique values
287 missing
intelligence_onumeric17 unique values
306 missing
funny_onumeric17 unique values
360 missing
ambitous_onumeric15 unique values
722 missing
shared_interests_onumeric15 unique values
1076 missing
d_attractive_onominal3 unique values
0 missing
d_sinsere_onominal3 unique values
0 missing
d_intelligence_onominal3 unique values
0 missing
d_funny_onominal3 unique values
0 missing
d_ambitous_onominal3 unique values
0 missing
d_shared_interests_onominal3 unique values
0 missing
attractive_importantnumeric94 unique values
79 missing
sincere_importantnumeric78 unique values
79 missing
intellicence_importantnumeric65 unique values
79 missing
funny_importantnumeric71 unique values
89 missing
ambtition_importantnumeric82 unique values
99 missing
shared_interests_importantnumeric85 unique values
121 missing
d_attractive_importantnominal3 unique values
0 missing
d_sincere_importantnominal3 unique values
0 missing
d_intellicence_importantnominal3 unique values
0 missing
d_funny_importantnominal3 unique values
0 missing
d_ambtition_importantnominal3 unique values
0 missing
d_shared_interests_importantnominal3 unique values
0 missing
attractivenumeric9 unique values
105 missing
sincerenumeric9 unique values
105 missing
intelligencenumeric9 unique values
105 missing
funnynumeric8 unique values
105 missing
ambitionnumeric9 unique values
105 missing
d_attractivenominal3 unique values
0 missing
d_sincerenominal3 unique values
0 missing
d_intelligencenominal3 unique values
0 missing
d_funnynominal3 unique values
0 missing
d_ambitionnominal3 unique values
0 missing
attractive_partnernumeric17 unique values
202 missing
sincere_partnernumeric14 unique values
277 missing
intelligence_partnernumeric17 unique values
296 missing
funny_partnernumeric16 unique values
350 missing
ambition_partnernumeric15 unique values
712 missing
shared_interests_partnernumeric15 unique values
1067 missing
d_attractive_partnernominal3 unique values
0 missing
d_sincere_partnernominal3 unique values
0 missing
d_intelligence_partnernominal3 unique values
0 missing
d_funny_partnernominal3 unique values
0 missing
d_ambition_partnernominal3 unique values
0 missing
d_shared_interests_partnernominal3 unique values
0 missing
sportsnumeric10 unique values
79 missing
tvsportsnumeric10 unique values
79 missing
exercisenumeric10 unique values
79 missing
diningnumeric10 unique values
79 missing
museumsnumeric11 unique values
79 missing
artnumeric11 unique values
79 missing
hikingnumeric11 unique values
79 missing
gamingnumeric12 unique values
79 missing
clubbingnumeric11 unique values
79 missing
readingnumeric11 unique values
79 missing
tvnumeric10 unique values
79 missing
theaternumeric11 unique values
79 missing
moviesnumeric10 unique values
79 missing
concertsnumeric11 unique values
79 missing
musicnumeric10 unique values
79 missing
shoppingnumeric10 unique values
79 missing
yoganumeric11 unique values
79 missing
d_sportsnominal3 unique values
0 missing
d_tvsportsnominal3 unique values
0 missing
d_exercisenominal3 unique values
0 missing
d_diningnominal3 unique values
0 missing
d_museumsnominal3 unique values
0 missing
d_artnominal3 unique values
0 missing
d_hikingnominal3 unique values
0 missing
d_gamingnominal3 unique values
0 missing
d_clubbingnominal3 unique values
0 missing
d_readingnominal3 unique values
0 missing
d_tvnominal3 unique values
0 missing
d_theaternominal3 unique values
0 missing
d_moviesnominal3 unique values
0 missing
d_concertsnominal3 unique values
0 missing
d_musicnominal3 unique values
0 missing
d_shoppingnominal3 unique values
0 missing
d_yoganominal3 unique values
0 missing
interests_correlatenumeric155 unique values
158 missing
d_interests_correlatenominal3 unique values
0 missing
expected_happy_with_sd_peoplenumeric10 unique values
101 missing
expected_num_interested_in_menumeric18 unique values
6578 missing
expected_num_matchesnumeric17 unique values
1173 missing
d_expected_happy_with_sd_peoplenominal3 unique values
0 missing
d_expected_num_interested_in_menominal3 unique values
0 missing
d_expected_num_matchesnominal3 unique values
0 missing
likenumeric18 unique values
240 missing
guess_prob_likednumeric19 unique values
309 missing
d_likenominal3 unique values
0 missing
d_guess_prob_likednominal3 unique values
0 missing
metnumeric7 unique values
375 missing
decisionnominal2 unique values
0 missing
decision_onominal2 unique values
0 missing
matchnominal2 unique values
0 missing

19 properties

8378
Number of instances (rows) of the dataset.
123
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
18372
Number of missing values in the dataset.
7330
Number of instances with at least one value missing.
59
Number of numeric attributes.
64
Number of nominal attributes.
87.49
Percentage of instances having missing values.
Average class difference between consecutive instances.
1.78
Percentage of missing values.
0.01
Number of attributes divided by the number of instances.
47.97
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
52.03
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
6
Number of binary attributes.
4.88
Percentage of binary attributes.

0 tasks

Define a new task