Data
amazon_employee_access

amazon_employee_access

active ARFF public Visibility: public Uploaded 31-05-2022 by Mine Gazioglu
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Amazon Employee Access (Kaggle Competition). The data consists of real historical data collected from 2010 & 2011. Employees are manually allowed or denied access to resources over time. You must create an algorithm capable of learning from this historical data to predict approval/denial for an unseen set of employees.

10 features

ACTION (target)nominal2 unique values
0 missing
RESOURCEnominal7518 unique values
0 missing
MGR_IDnominal4243 unique values
0 missing
ROLE_ROLLUP_1nominal128 unique values
0 missing
ROLE_ROLLUP_2nominal177 unique values
0 missing
ROLE_DEPTNAMEnominal449 unique values
0 missing
ROLE_TITLEnominal343 unique values
0 missing
ROLE_FAMILY_DESCnominal2358 unique values
0 missing
ROLE_FAMILYnominal67 unique values
0 missing
ROLE_CODEnominal343 unique values
0 missing

19 properties

32769
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
2
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.
0
Number of numeric attributes.
10
Number of nominal attributes.
1
Number of binary attributes.
10
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.89
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
94.21
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
30872
Number of instances belonging to the most frequent class.
5.79
Percentage of instances belonging to the least frequent class.
1897
Number of instances belonging to the least frequent class.

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