Data
seattlecrime6

seattlecrime6

active ARFF Public Domain (CC0) Visibility: public Uploaded 11-06-2020 by Florian Pargent
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: City of Seattle Source: https://data.seattle.gov/Public-Safety/Crime-Data/4fs7-3vj5 - 24-06-2019 Please cite: This data represents crime reported to the Seattle Police Department (SPD). Each row contains the record of a unique event where at least one criminal offense was reported by a member of the community or detected by an officer in the field. This data is the same data used in meetings such as SeaStat (https://www.seattle.gov/police/information-and-data/seastat) for strategic planning, accountability and performance management. For more information see: https://data.seattle.gov/Public-Safety/Crime-Data/4fs7-3vj5 For this version, the task was downsampled to 10 percent. Compute a new target Reported_Time. Compute new date features, ignore some features and encode as features as factor variables.

8 features

Reported_Time (target)numeric29 unique values
0 missing
Primary_Offense_Descriptionnominal129 unique values
0 missing
Precinctnominal6 unique values
0 missing
Sectornominal17 unique values
327 missing
Beatnominal52 unique values
323 missing
Neighborhoodnominal59 unique values
0 missing
Occurred_hournumeric20 unique values
0 missing
Occurred_minnumeric24 unique values
0 missing
Show all 8 features

19 properties

NumberOfInstances
52358
Number of instances (rows) of the dataset.
NumberOfFeatures
8
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
650
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
327
Number of instances with at least one value missing.
NumberOfNumericFeatures
3
Number of numeric attributes.
NumberOfSymbolicFeatures
5
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
37.5
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
62.5
Percentage of nominal attributes.
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.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0.62
Percentage of instances having missing values.
AutoCorrelation
-478.04
Average class difference between consecutive instances.
PercentageOfMissingValues
0.16
Percentage of missing values.
Show all 19 properties

7 tasks

Supervised Regression on seattlecrime6
0 runs - estimation_procedure: 33% Holdout set - target_feature: Reported_Time
Clustering on seattlecrime6
0 runs - estimation_procedure: 50 times Clustering
Clustering on seattlecrime6
0 runs - estimation_procedure: 50 times Clustering
Clustering on seattlecrime6
0 runs - estimation_procedure: 50 times Clustering
Clustering on seattlecrime6
0 runs - estimation_procedure: 50 times Clustering
Clustering on seattlecrime6
0 runs - estimation_procedure: 50 times Clustering
Clustering on seattlecrime6
0 runs - estimation_procedure: 50 times Clustering
Define a new task