Data
cloud-dataset

cloud-dataset

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Computer Systems Machine Learning
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Data from StatLib (ftp stat.cmu.edu/datasets) These data are those collected in a cloud-seeding experiment in Tasmania between mid-1964 and January 1971. Their analysis, using regression techniques and permutation tests, is discussed in: Miller, A.J., Shaw, D.E., Veitch, L.G. Smith, E.J. (1979). Analyzing the results of a cloud-seeding experiment in Tasmania', Communications in Statistics - Theory Methods, vol.A8(10), 1017-1047. The rainfalls are period rainfalls in inches. TE and TW are the east and west target areas respectively, while NC, SC and NWC are the corresponding rainfalls in the north, south and north-west control areas respectively. S = seeded, U = unseeded. Rain in eastern target region is being treated as the class attribute. (Attribute for rain in the western target region has been deleted.)

7 features

periodnumeric108 unique values
0 missing
seededstring2 unique values
0 missing
seasonstring4 unique values
0 missing
NCnumeric97 unique values
0 missing
SCnumeric89 unique values
0 missing
NWCnumeric101 unique values
0 missing
TEnumeric94 unique values
0 missing

19 properties

108
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
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.
0
Number of nominal attributes.
0.06
Number of attributes divided by the number of instances.
71.43
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage 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.
Average class difference between consecutive instances.
0
Percentage of missing values.

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