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appendicitis_test_edsa
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appendicitis_test_edsa
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Uploaded 07-08-2023 by
said edsa
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downloaded by 0 people , 0 total downloads
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Chemistry
Life Science
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appendicities from edsa yang lain lain -- local computer
8 features
class
(target)
nominal
2 unique values
0 missing
At1
numeric
74 unique values
0 missing
At2
numeric
41 unique values
0 missing
At3
numeric
95 unique values
0 missing
At4
numeric
39 unique values
0 missing
At5
numeric
89 unique values
0 missing
At6
numeric
93 unique values
0 missing
At7
numeric
99 unique values
0 missing
Show all 8 features
19 properties
NumberOfInstances
106
Number of instances (rows) of the dataset.
NumberOfFeatures
8
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
7
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
MinorityClassPercentage
19.81
Percentage of instances belonging to the least frequent class.
MinorityClassSize
21
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
12.5
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.99
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.08
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
87.5
Percentage of numeric attributes.
MajorityClassPercentage
80.19
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
12.5
Percentage of nominal attributes.
MajorityClassSize
85
Number of instances belonging to the most frequent class.
Show all 19 properties
1 tasks
Supervised Classification on appendicitis_test_edsa
1 runs
- estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: class
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