DEVELOPMENT... OpenML
Data
weather_izmir

weather_izmir

active ARFF Public Domain (CC0) Visibility: public Uploaded 19-04-2020 by Fisher
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Author: Source: KEEL - [original](https://sci2s.ugr.es/keel/dataset.php?cod=78) - Date unknown Please cite: Weather Izmir dataset This file contains the weather information of Izmir from 01/01/1994 to 31/12/1997. From given features, the goal is to predict the mean temperature. Attributes Information 1. Max_temperature real[36.7,105.0] 2. Min_temperature real[15.8,78.6] 3. Dewpoint real[13.6,64.4] 4. Precipitation real[0.0,7.6] 5. Sea_level_pressure real[29.26,30.48] 6. Standard_pressure real[2.3,10.1] 7. Visibility real[0.92,29.1] 8. Wind_speed real[4.72,68.8] 9. Max_wind_speed real[16.11,55.24] 10. Mean_temperature real[29.4,89.9] [target]

10 features

Mean_temperature (target)numeric489 unique values
0 missing
Max_temperaturenumeric300 unique values
0 missing
Min_temperaturenumeric284 unique values
0 missing
Dewpointnumeric387 unique values
0 missing
Precipitationnumeric26 unique values
0 missing
Sea_level_pressurenumeric90 unique values
0 missing
Standard_pressurenumeric52 unique values
0 missing
Visibilitynumeric198 unique values
0 missing
Wind_speednumeric32 unique values
0 missing
Max_wind_speednumeric21 unique values
0 missing
Show all 10 features

19 properties

NumberOfInstances
1461
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.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
AutoCorrelation
-15.82
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Dimensionality
0.01
Number of attributes divided by the number of instances.
Show all 19 properties

9 tasks

Supervised Regression on weather_izmir
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Mean_temperature
Supervised Regression on weather_izmir
0 runs - estimation_procedure: 33% Holdout set - target_feature: Mean_temperature
Clustering on weather_izmir
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_izmir
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_izmir
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_izmir
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_izmir
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_izmir
0 runs - estimation_procedure: 50 times Clustering
Clustering on weather_izmir
0 runs - estimation_procedure: 50 times Clustering
Define a new task