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fars

fars

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Young Lee
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This dataset is for classification tasks, and has both continuous and categorical variables.

30 features

class (target)numeric7 unique values
0 missing
CASE_STATEnumeric51 unique values
0 missing
AGEnumeric99 unique values
0 missing
SEATING_POSITIONnumeric26 unique values
0 missing
RESTRAINT_SYSTEM-USEnumeric12 unique values
0 missing
AIR_BAG_AVAILABILITY/DEPLOYMENTnumeric13 unique values
0 missing
NON_MOTORIST_LOCATIONnumeric18 unique values
0 missing
ALCOHOL_TEST_RESULTnumeric69 unique values
0 missing
DRUG_TEST_RESULTS_(1_of_3)numeric95 unique values
0 missing
DRUG_TEST_RESULTS_(2_of_3)numeric73 unique values
0 missing
DRUG_TEST_RESULTS_(3_of_3)numeric59 unique values
0 missing
RELATED_FACTOR_(1)-PERSON_LEVELnumeric45 unique values
0 missing
RELATED_FACTOR_(2)-PERSON_LEVELnumeric48 unique values
0 missing
RELATED_FACTOR_(3)-PERSON_LEVELnumeric33 unique values
0 missing
RACEnumeric18 unique values
0 missing
SEXnominal3 unique values
0 missing
PERSON_TYPEnominal10 unique values
0 missing
EJECTIONnominal4 unique values
0 missing
EJECTION_PATHnominal10 unique values
0 missing
EXTRICATIONnominal3 unique values
0 missing
POLICE_REPORTED_ALCOHOL_INVOLVEMENTnominal4 unique values
0 missing
METHOD_ALCOHOL_DETERMINATIONnominal7 unique values
0 missing
ALCOHOL_TEST_TYPEnominal10 unique values
0 missing
POLICE-REPORTED_DRUG_INVOLVEMENTnominal4 unique values
0 missing
METHOD_OF_DRUG_DETERMINATIONnominal5 unique values
0 missing
DRUG_TEST_TYPEnominal7 unique values
0 missing
DRUG_TEST_TYPE_(2_of_3)nominal7 unique values
0 missing
DRUG_TEST_TYPE_(3_of_3)nominal7 unique values
0 missing
HISPANIC_ORIGINnominal9 unique values
0 missing
TAKEN_TO_HOSPITALnominal3 unique values
0 missing

19 properties

100959
Number of instances (rows) of the dataset.
30
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
15
Number of numeric attributes.
15
Number 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.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
50
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
50
Percentage of nominal attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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