File size: 6,028 Bytes
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"name": "Credit Card customers",
"source": "https://www.kaggle.com/datasets/sakshigoyal7/credit-card-customers/data",
"data_intro": "this dataset consists of 10,000 customers mentioning their age, salary, marital_status, credit card limit, credit card category, etc,try to predict what kind of client is likely to leave",
"is_splited": false,
"overall_size": 10127,
"train_size": 0,
"test_size": 0,
"c_classes": 6,
"n_classes": 17,
"task_type": "classification",
"target": {
"Attrition_Flag": "Given a customer's all other data, predict whether the customer will be Existing Customer or Attrited Customer"
},
"cat_feature_intro": {
"Attrition_Flag": "- Attrition_Flag:Internal event (customer activity) variable - if the account is closed then 1 else 0,Existing Customer,Attrited Customer",
"Gender": "- Gender: Demographic variable - M=Male, F=Female",
"Education_Level": "- Education_Level:Demographic variable - Educational Qualification of the account holder (example: high school, college graduate, etc.)",
"Marital_Status": "- Marital_Status:Demographic variable - Married, Single, Divorced, Unknown",
"Income_Category": "- Income_Category: Demographic variable - Annual Income Category of the account holder (< $40K, $40K - 60K, $60K - $80K, $80K-$120K, > $120K, Unknown)",
"Card_Category": "- Card_Category: Product Variable - Type of Card (Blue, Silver, Gold, Platinum)"
},
"num_feature_intro": {
"CLIENTNUM": "- CLIENTNUM:Client number. Unique identifier for the customer holding the account",
"Customer_Age": "- Customer_Age:Demographic variable - Customer's Age in Years",
"Dependent_count": "- Dependent_count:Demographic variable - Number of dependents",
"Months_on_book": "- Months_on_book:Period of relationship with bank",
"Total_Relationship_Count": "- Total_Relationship_Count:Total no. of products held by the customer",
"Months_Inactive_12_mon": "- Months_Inactive_12_mon:No. of months inactive in the last 12 months",
"Contacts_Count_12_mon": "- Contacts_Count_12_mon:No. of Contacts in the last 12 months",
"Credit_Limit": "- Credit_Limit:Credit Limit on the Credit Card",
"Total_Revolving_Bal": "- Total_Revolving_Bal:Total Revolving Balance on the Credit Card",
"Avg_Open_To_Buy": "- Avg_Open_To_Buy:Open to Buy Credit Line (Average of last 12 months)",
"Total_Amt_Chng_Q4_Q1": "- Total_Amt_Chng_Q4_Q1:Change in Transaction Amount (Q4 over Q1)",
"Total_Trans_Amt": "- Total_Trans_Amt:Total Transaction Amount (Last 12 months)",
"Total_Trans_Ct": "- Total_Trans_Ct:Total Transaction Count (Last 12 months)",
"Total_Ct_Chng_Q4_Q1": "- Total_Ct_Chng_Q4_Q1:Change in Transaction Count (Q4 over Q1)",
"Avg_Utilization_Ratio": "- Avg_Utilization_Ratio:Average Card Utilization Ratio",
"Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1": "- Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1:Naive Bayes",
"Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2": "- Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2:Naive Bayes"
},
"evaluation_metric": null,
"num_feature_value": {
"Avg_Open_To_Buy": [
3.0,
34516.0
],
"Avg_Utilization_Ratio": [
0.0,
0.999
],
"CLIENTNUM": [
708082083.0,
828343083.0
],
"Contacts_Count_12_mon": [
0.0,
6.0
],
"Credit_Limit": [
1438.3,
34516.0
],
"Customer_Age": [
26.0,
73.0
],
"Dependent_count": [
0.0,
5.0
],
"Months_Inactive_12_mon": [
0.0,
6.0
],
"Months_on_book": [
13.0,
56.0
],
"Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1": [
7.6642e-06,
0.99958
],
"Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2": [
0.00041998,
0.99999
],
"Total_Amt_Chng_Q4_Q1": [
0.0,
3.397
],
"Total_Ct_Chng_Q4_Q1": [
0.0,
3.714
],
"Total_Relationship_Count": [
1.0,
6.0
],
"Total_Revolving_Bal": [
0.0,
2517.0
],
"Total_Trans_Amt": [
510.0,
18484.0
],
"Total_Trans_Ct": [
10.0,
139.0
]
},
"cat_feature_value": {
"Attrition_Flag": [
"Attrited Customer",
"Existing Customer"
],
"Card_Category": [
"Blue",
"Gold",
"Platinum",
"Silver"
],
"Education_Level": [
"College",
"Doctorate",
"Graduate",
"High School",
"Post-Graduate",
"Uneducated",
"Unknown"
],
"Gender": [
"F",
"M"
],
"Income_Category": [
"$120K +",
"$40K - $60K",
"$60K - $80K",
"$80K - $120K",
"Less than $40K",
"Unknown"
],
"Marital_Status": [
"Divorced",
"Married",
"Single",
"Unknown"
]
}
} |