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

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

active ARFF Undefined Visibility: public Uploaded 09-06-2021 by Giulia Santarsieri
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arbres-urbains

57 features

classification_diagnostic (target)nominal5 unique values
0 missing
id_arbrenominal699 unique values
0 missing
communenominal1 unique values
0 missing
quartiernominal6 unique values
0 missing
sitenominal30 unique values
0 missing
cote_voirienominal2 unique values
164 missing
matricule_arbrenumeric74 unique values
0 missing
genre_arbrenominal24 unique values
0 missing
espece_arbrenominal35 unique values
8 missing
controlenumeric1 unique values
698 missing
situationnominal4 unique values
1 missing
type_solnominal9 unique values
0 missing
surf_permeablenumeric9 unique values
0 missing
date_plantationnumeric13 unique values
0 missing
classe_agenominal4 unique values
0 missing
hauteurnumeric17 unique values
0 missing
classe_hauteurnominal5 unique values
0 missing
diametrenumeric40 unique values
0 missing
circonference-en-cmnumeric40 unique values
0 missing
classe_circonferencenominal7 unique values
0 missing
port_arbrenominal5 unique values
0 missing
vigueur_poussenominal4 unique values
0 missing
champignon_colletnominal2 unique values
0 missing
insecte_colletnominal1 unique values
0 missing
plaie_colletnominal7 unique values
0 missing
observation_colletnominal13 unique values
561 missing
champignon_troncnominal2 unique values
0 missing
insecte_troncnominal1 unique values
0 missing
fissure_troncnominal3 unique values
0 missing
rejet_troncnominal2 unique values
0 missing
tuteurage_arbrenominal4 unique values
0 missing
canisse_arbrenominal2 unique values
0 missing
plaie_troncnominal6 unique values
0 missing
observation_troncnominal8 unique values
623 missing
champignon_houppiernominal2 unique values
0 missing
insecte_houppiernominal1 unique values
0 missing
fissure_houppiernominal3 unique values
0 missing
ecorce_incluse_houppiernominal2 unique values
0 missing
bois_mort_houppiernominal3 unique values
0 missing
plaie_houppiernominal5 unique values
0 missing
observation_houppiernominal17 unique values
562 missing
esperance_maintiennumeric4 unique values
0 missing
contraintenominal2 unique values
0 missing
date_diagnosticnominal22 unique values
0 missing
prescription_1nominal15 unique values
220 missing
prescription_2nominal9 unique values
532 missing
prescription_3nominal2 unique values
684 missing
observation_travauxnominal16 unique values
609 missing
type_delai_1nominal1 unique values
691 missing
delai_annee_programmationnumeric1 unique values
691 missing
type_delai_2nominal2 unique values
220 missing
delai_preconisation_2nominal1 unique values
666 missing
delai_saison_programmation_2nominal3 unique values
246 missing
delai_annee_programmation_2numeric3 unique values
245 missing
reference_photonominal231 unique values
468 missing
longnumeric35 unique values
0 missing
latnumeric14 unique values
0 missing

19 properties

699
Number of instances (rows) of the dataset.
57
Number of attributes (columns) of the dataset.
5
Number of distinct values of the target attribute (if it is nominal).
7889
Number of missing values in the dataset.
699
Number of instances with at least one value missing.
12
Number of numeric attributes.
45
Number of nominal attributes.
0.08
Number of attributes divided by the number of instances.
21.05
Percentage of numeric attributes.
56.94
Percentage of instances belonging to the most frequent class.
78.95
Percentage of nominal attributes.
398
Number of instances belonging to the most frequent class.
1.43
Percentage of instances belonging to the least frequent class.
10
Number of instances belonging to the least frequent class.
10
Number of binary attributes.
17.54
Percentage of binary attributes.
100
Percentage of instances having missing values.
0.73
Average class difference between consecutive instances.
19.8
Percentage of missing values.

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