Data
IRIS-flower-dataset

IRIS-flower-dataset

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other. Content The columns in this dataset are: Id SepalLengthCm SepalWidthCm PetalLengthCm PetalWidthCm Species Acknowledgements http://archive.ics.uci.edu/ml/index.php

5 features

Id (ignore)numeric150 unique values
0 missing
SepalLengthCmnumeric35 unique values
0 missing
SepalWidthCmnumeric23 unique values
0 missing
PetalLengthCmnumeric43 unique values
0 missing
PetalWidthCmnumeric22 unique values
0 missing
Speciesstring3 unique values
0 missing
Show all 5 features

19 properties

NumberOfInstances
150
Number of instances (rows) of the dataset.
NumberOfFeatures
5
Number of attributes (columns) of the dataset.
NumberOfClasses
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
4
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0.03
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
80
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

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