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Datasets:
aai510-group1
/
telco-customer-churn

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
tabular-classification
churn-prediction
telecom
customer-retention
demographics
customer-service
Libraries:
Datasets
pandas
Dataset card Viewer Files Community
1
jonathanagustin commited on
Commit
8ad5179
•
1 Parent(s): d3c30cf

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +106 -106
README.md CHANGED
@@ -14,112 +14,112 @@ size_categories:
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  task_categories:
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  - tabular-classification
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  dataset_info:
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- - config_name: default
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- features:
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- - name: Age
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- dtype: int64
21
- - name: Avg Monthly GB Download
22
- dtype: int64
23
- - name: Avg Monthly Long Distance Charges
24
- dtype: float64
25
- - name: Churn
26
- dtype: int64
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- - name: Churn Category
28
- dtype: string
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- - name: Churn Reason
30
- dtype: string
31
- - name: Churn Score
32
- dtype: int64
33
- - name: City
34
- dtype: string
35
- - name: CLTV
36
- dtype: int64
37
- - name: Contract
38
- dtype: string
39
- - name: Country
40
- dtype: string
41
- - name: Customer ID
42
- dtype: string
43
- - name: Customer Status
44
- dtype: string
45
- - name: Dependents
46
- dtype: int64
47
- - name: Device Protection Plan
48
- dtype: int64
49
- - name: Gender
50
- dtype: string
51
- - name: Internet Service
52
- dtype: int64
53
- - name: Internet Type
54
- dtype: string
55
- - name: Lat Long
56
- dtype: string
57
- - name: Latitude
58
- dtype: float64
59
- - name: Longitude
60
- dtype: float64
61
- - name: Married
62
- dtype: int64
63
- - name: Monthly Charge
64
- dtype: float64
65
- - name: Multiple Lines
66
- dtype: int64
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- - name: Number of Dependents
68
- dtype: int64
69
- - name: Number of Referrals
70
- dtype: int64
71
- - name: Offer
72
- dtype: string
73
- - name: Online Backup
74
- dtype: int64
75
- - name: Online Security
76
- dtype: int64
77
- - name: Paperless Billing
78
- dtype: int64
79
- - name: Partner
80
- dtype: int64
81
- - name: Payment Method
82
- dtype: string
83
- - name: Phone Service
84
- dtype: int64
85
- - name: Population
86
- dtype: int64
87
- - name: Premium Tech Support
88
- dtype: int64
89
- - name: Quarter
90
- dtype: string
91
- - name: Referred a Friend
92
- dtype: int64
93
- - name: Satisfaction Score
94
- dtype: int64
95
- - name: Senior Citizen
96
- dtype: int64
97
- - name: State
98
- dtype: string
99
- - name: Streaming Movies
100
- dtype: int64
101
- - name: Streaming Music
102
- dtype: int64
103
- - name: Streaming TV
104
- dtype: int64
105
- - name: Tenure in Months
106
- dtype: int64
107
- - name: Total Charges
108
- dtype: float64
109
- - name: Total Extra Data Charges
110
- dtype: int64
111
- - name: Total Long Distance Charges
112
- dtype: float64
113
- - name: Total Refunds
114
- dtype: float64
115
- - name: Total Revenue
116
- dtype: float64
117
- - name: Under 30
118
- dtype: int64
119
- - name: Unlimited Data
120
- dtype: int64
121
- - name: Zip Code
122
- dtype: string
123
  ---
124
  # Dataset Card for Telco Customer Churn
125
 
 
14
  task_categories:
15
  - tabular-classification
16
  dataset_info:
17
+ - config_name: default
18
+ features:
19
+ - name: Age
20
+ dtype: int64
21
+ - name: Avg Monthly GB Download
22
+ dtype: int64
23
+ - name: Avg Monthly Long Distance Charges
24
+ dtype: float64
25
+ - name: Churn
26
+ dtype: int64
27
+ - name: Churn Category
28
+ dtype: string
29
+ - name: Churn Reason
30
+ dtype: string
31
+ - name: Churn Score
32
+ dtype: int64
33
+ - name: City
34
+ dtype: string
35
+ - name: CLTV
36
+ dtype: int64
37
+ - name: Contract
38
+ dtype: string
39
+ - name: Country
40
+ dtype: string
41
+ - name: Customer ID
42
+ dtype: string
43
+ - name: Customer Status
44
+ dtype: string
45
+ - name: Dependents
46
+ dtype: int64
47
+ - name: Device Protection Plan
48
+ dtype: int64
49
+ - name: Gender
50
+ dtype: string
51
+ - name: Internet Service
52
+ dtype: int64
53
+ - name: Internet Type
54
+ dtype: string
55
+ - name: Lat Long
56
+ dtype: string
57
+ - name: Latitude
58
+ dtype: float64
59
+ - name: Longitude
60
+ dtype: float64
61
+ - name: Married
62
+ dtype: int64
63
+ - name: Monthly Charge
64
+ dtype: float64
65
+ - name: Multiple Lines
66
+ dtype: int64
67
+ - name: Number of Dependents
68
+ dtype: int64
69
+ - name: Number of Referrals
70
+ dtype: int64
71
+ - name: Offer
72
+ dtype: string
73
+ - name: Online Backup
74
+ dtype: int64
75
+ - name: Online Security
76
+ dtype: int64
77
+ - name: Paperless Billing
78
+ dtype: int64
79
+ - name: Partner
80
+ dtype: int64
81
+ - name: Payment Method
82
+ dtype: string
83
+ - name: Phone Service
84
+ dtype: int64
85
+ - name: Population
86
+ dtype: int64
87
+ - name: Premium Tech Support
88
+ dtype: int64
89
+ - name: Quarter
90
+ dtype: string
91
+ - name: Referred a Friend
92
+ dtype: int64
93
+ - name: Satisfaction Score
94
+ dtype: int64
95
+ - name: Senior Citizen
96
+ dtype: int64
97
+ - name: State
98
+ dtype: string
99
+ - name: Streaming Movies
100
+ dtype: int64
101
+ - name: Streaming Music
102
+ dtype: int64
103
+ - name: Streaming TV
104
+ dtype: int64
105
+ - name: Tenure in Months
106
+ dtype: int64
107
+ - name: Total Charges
108
+ dtype: float64
109
+ - name: Total Extra Data Charges
110
+ dtype: int64
111
+ - name: Total Long Distance Charges
112
+ dtype: float64
113
+ - name: Total Refunds
114
+ dtype: float64
115
+ - name: Total Revenue
116
+ dtype: float64
117
+ - name: Under 30
118
+ dtype: int64
119
+ - name: Unlimited Data
120
+ dtype: int64
121
+ - name: Zip Code
122
+ dtype: string
123
  ---
124
  # Dataset Card for Telco Customer Churn
125