Data
vineyard

vineyard

active ARFF Publicly available Visibility: public Uploaded 23-04-2014 by Jan van Rijn
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Author: Source: Unknown - Please cite: Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag.

3 features

lugs_1991 (target)numeric19 unique values
0 missing
row_number (row identifier)numeric52 unique values
0 missing
lugs_1989numeric14 unique values
0 missing
lugs_1990numeric16 unique values
0 missing
Show all 3 features

19 properties

NumberOfInstances
52
Number of instances (rows) of the dataset.
NumberOfFeatures
3
Number of attributes (columns) of the dataset.
NumberOfClasses
0
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
3
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
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
-1.18
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.06
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
100
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.
Show all 19 properties

13 tasks

Supervised Regression on vineyard
2 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: lugs_1991
Supervised Regression on vineyard
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: lugs_1991
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
Clustering on vineyard
0 runs - estimation_procedure: 50 times Clustering
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