Data
dgf_96f4164d-956d-4c1c-b161-68724eb0ccdc

dgf_96f4164d-956d-4c1c-b161-68724eb0ccdc

active ARFF Undefined Visibility: public Uploaded 02-06-2021 by Pavel Soriano
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
Arbres urbains

57 features

classification_diagnostic (target)nominal1 unique values
0 missing
id_arbrenominal2 unique values
0 missing
communenominal1 unique values
0 missing
quartiernominal1 unique values
0 missing
sitenominal1 unique values
0 missing
cote_voirienumeric0 unique values
2 missing
matricule_arbrenumeric2 unique values
0 missing
genre_arbrenominal1 unique values
0 missing
espece_arbrenominal1 unique values
0 missing
controlenumeric0 unique values
2 missing
situationnominal1 unique values
0 missing
type_solnominal1 unique values
0 missing
surf_permeablenumeric1 unique values
0 missing
date_plantationnumeric1 unique values
0 missing
classe_agenominal1 unique values
0 missing
hauteurnumeric1 unique values
0 missing
classe_hauteurnominal1 unique values
0 missing
diametrenumeric2 unique values
0 missing
circonference-en-cmnumeric2 unique values
0 missing
classe_circonferencenominal1 unique values
0 missing
port_arbrenominal1 unique values
0 missing
vigueur_poussenominal1 unique values
0 missing
champignon_colletnominal1 unique values
0 missing
insecte_colletnominal1 unique values
0 missing
plaie_colletnominal2 unique values
0 missing
observation_colletnumeric0 unique values
2 missing
champignon_troncnominal1 unique values
0 missing
insecte_troncnominal1 unique values
0 missing
fissure_troncnominal1 unique values
0 missing
rejet_troncnominal1 unique values
0 missing
tuteurage_arbrenominal1 unique values
0 missing
canisse_arbrenominal1 unique values
0 missing
plaie_troncnominal2 unique values
0 missing
observation_troncnumeric0 unique values
2 missing
champignon_houppiernominal1 unique values
0 missing
insecte_houppiernominal1 unique values
0 missing
fissure_houppiernominal1 unique values
0 missing
ecorce_incluse_houppiernominal1 unique values
0 missing
bois_mort_houppiernominal1 unique values
0 missing
plaie_houppiernominal1 unique values
0 missing
observation_houppiernumeric0 unique values
2 missing
esperance_maintiennumeric1 unique values
0 missing
contraintenominal1 unique values
0 missing
date_diagnosticnominal1 unique values
0 missing
prescription_1nominal1 unique values
0 missing
prescription_2nominal1 unique values
1 missing
prescription_3numeric0 unique values
2 missing
observation_travauxnumeric0 unique values
2 missing
type_delai_1numeric0 unique values
2 missing
delai_annee_programmationnumeric0 unique values
2 missing
type_delai_2nominal1 unique values
0 missing
delai_preconisation_2numeric0 unique values
2 missing
delai_saison_programmation_2nominal1 unique values
0 missing
delai_annee_programmation_2numeric1 unique values
0 missing
reference_photonumeric1 unique values
1 missing
longnumeric1 unique values
0 missing
latnumeric1 unique values
0 missing

19 properties

2
Number of instances (rows) of the dataset.
57
Number of attributes (columns) of the dataset.
1
Number of distinct values of the target attribute (if it is nominal).
22
Number of missing values in the dataset.
2
Number of instances with at least one value missing.
21
Number of numeric attributes.
36
Number of nominal attributes.
5.26
Percentage of binary attributes.
100
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
19.3
Percentage of missing values.
28.5
Number of attributes divided by the number of instances.
36.84
Percentage of numeric attributes.
100
Percentage of instances belonging to the most frequent class.
63.16
Percentage of nominal attributes.
2
Number of instances belonging to the most frequent class.
100
Percentage of instances belonging to the least frequent class.
2
Number of instances belonging to the least frequent class.
3
Number of binary attributes.

0 tasks

Define a new task