OpenML
eucalyptus

eucalyptus

active ARFF public Visibility: public Uploaded 04-06-2022 by Mine Gazioglu
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Find out which seedlots in a species are best for soil conservation in dry hill country. Bulluch B. T., (1992) Eucalyptus Species Selection for Soil Conservation in Seasonally Dry Hill Country - Twelfth Year Assessment New Zealand Journal of Forestry Science 21(1): 10 - 31 (1991) Kirsten Thomson and Robert J. McQueen (1996) Machine Learning Applied to Fourteen Agricultural Datasets. University of Waikato Research Report https://www.cs.waikato.ac.nz/ml/publications/1996/Thomson-McQueen-96.pdf + the original publication:

20 features

Utility (target)nominal5 unique values
0 missing
Abbrevnominal16 unique values
0 missing
Repnumeric4 unique values
0 missing
Localitynominal8 unique values
0 missing
Map_Refnominal14 unique values
0 missing
Latitudenominal12 unique values
0 missing
Altitudenumeric9 unique values
0 missing
Rainfallnumeric10 unique values
0 missing
Frostsnumeric2 unique values
0 missing
Yearnumeric5 unique values
0 missing
Spnominal27 unique values
0 missing
PMCnonominal86 unique values
0 missing
DBHnominal604 unique values
0 missing
Htnominal532 unique values
0 missing
Survnominal48 unique values
0 missing
Vignominal34 unique values
0 missing
Ins_resnominal29 unique values
0 missing
Stem_Fmnominal27 unique values
0 missing
Crown_Fmnominal30 unique values
0 missing
Brnch_Fmnominal29 unique values
0 missing

19 properties

736
Number of instances (rows) of the dataset.
20
Number of attributes (columns) of the dataset.
5
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.
5
Number of numeric attributes.
15
Number of nominal attributes.
29.08
Percentage of instances belonging to the most frequent class.
75
Percentage of nominal attributes.
214
Number of instances belonging to the most frequent class.
14.27
Percentage of instances belonging to the least frequent class.
105
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.
0.39
Average class difference between consecutive instances.
0
Percentage of missing values.
0.03
Number of attributes divided by the number of instances.
25
Percentage of numeric attributes.

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