Data
weather_ankara

weather_ankara

active ARFF Public Domain (CC0) Visibility: public Uploaded 19-04-2020 by Rafael Gomes Mantovani
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Author: Source: KEEL - [original](https://sci2s.ugr.es/keel/dataset.php?cod=41) - Date unknown Please cite: Weather Ankara dataset This file contains the weather information of Ankara from 01/01/1994 to 28/05/1998. From given features, the goal is to predict the mean temperature. Attribute Information 1. Max_temperature real [23.0, 100.0] 2. Min_temperature real [-7.1, 65.5] 3. Dewpoint real [-3.1, 57.6] 4. Precipitation real [0.0, 4.0] 5. Sea_level_pressure real [29.46, 30.6] 6. Standard_pressure real [26.3, 27.18] 7. Visibility real [0.2, 11.5] 8. Wind_speed real [0.0, 18.0] 9. Max_wind_speed real [2.19, 57.4] 10. Mean_temperature real [7.9, 81.8]

10 features

Mean_temperature (target)numeric251 unique values
0 missing
Max_temperaturenumeric168 unique values
0 missing
Min_temperaturenumeric145 unique values
0 missing
Dewpointnumeric216 unique values
0 missing
Precipitationnumeric10 unique values
0 missing
Sea_level_pressurenumeric86 unique values
0 missing
Standard_pressurenumeric62 unique values
0 missing
Visibilitynumeric66 unique values
0 missing
Wind_speednumeric96 unique values
0 missing
Max_wind_speednumeric28 unique values
0 missing
Show all 10 features

19 properties

NumberOfInstances
321
Number of instances (rows) of the dataset.
NumberOfFeatures
10
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
10
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
-16.26
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
Dimensionality
0.03
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
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.
Show all 19 properties

8 tasks

Supervised Regression on weather_ankara
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Mean_temperature
Clustering on weather_ankara
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_ankara
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_ankara
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_ankara
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_ankara
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_ankara
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_ankara
0 runs - estimation_procedure: 50 times Clustering
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