DEVELOPMENT... OpenML
Data
Asteroid_Dataset

Asteroid_Dataset

active ARFF Publicly available Visibility: public Uploaded 16-02-2020 by Joseph
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
Asteroid Dataset

34 features

pha (target)nominal2 unique values
0 missing
sigma_wnumeric67941 unique values
0 missing
per_ynumeric126131 unique values
0 missing
moidnumeric89028 unique values
0 missing
moid_ldnumeric89028 unique values
0 missing
sigma_enumeric54656 unique values
0 missing
sigma_anumeric56626 unique values
0 missing
sigma_qnumeric41888 unique values
0 missing
sigma_inumeric55635 unique values
0 missing
sigma_omnumeric64396 unique values
0 missing
tp_calnumeric126131 unique values
0 missing
sigma_manumeric56175 unique values
0 missing
sigma_adnumeric56542 unique values
0 missing
sigma_nnumeric42103 unique values
0 missing
sigma_tpnumeric68720 unique values
0 missing
sigma_pernumeric60574 unique values
0 missing
classnominal11 unique values
0 missing
rmsnumeric25853 unique values
0 missing
inumeric126131 unique values
0 missing
full_namestring126131 unique values
0 missing
Hnumeric184 unique values
0 missing
diameternumeric17990 unique values
3 missing
albedonumeric1061 unique values
0 missing
diameter_sigmanumeric3042 unique values
96 missing
enumeric126131 unique values
0 missing
anumeric126131 unique values
0 missing
qnumeric126131 unique values
0 missing
pernumeric126131 unique values
0 missing
omnumeric126131 unique values
0 missing
wnumeric126131 unique values
0 missing
manumeric126131 unique values
0 missing
adnumeric126131 unique values
0 missing
nnumeric126131 unique values
0 missing
tpnumeric126131 unique values
0 missing
spkid (row identifier)numeric126131 unique values
0 missing

19 properties

126131
Number of instances (rows) of the dataset.
34
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
99
Number of missing values in the dataset.
96
Number of instances with at least one value missing.
31
Number of numeric attributes.
2
Number of nominal attributes.
5.88
Percentage of nominal attributes.
1
Average class difference between consecutive instances.
91.18
Percentage of numeric attributes.
0
Percentage of missing values.
0.08
Percentage of instances having missing values.
2.94
Percentage of binary attributes.
1
Number of binary attributes.
156
Number of instances belonging to the least frequent class.
0.12
Percentage of instances belonging to the least frequent class.
125975
Number of instances belonging to the most frequent class.
99.88
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

10 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: pha
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task