## Length Class Mode
## call 5 -none- call
## type 1 -none- character
## predicted 7031 factor numeric
## err.rate 1500 -none- numeric
## confusion 6 -none- numeric
## votes 14062 matrix numeric
## oob.times 7031 -none- numeric
## classes 2 -none- character
## importance 76 -none- numeric
## importanceSD 57 -none- numeric
## localImportance 0 -none- NULL
## proximity 0 -none- NULL
## ntree 1 -none- numeric
## mtry 1 -none- numeric
## forest 14 -none- list
## y 7031 factor numeric
## test 0 -none- NULL
## inbag 0 -none- NULL
## terms 3 terms call
## Attrited Customer Existing Customer
## Customer_Age 6.015845e-03 6.363448e-03
## Gender 7.877826e-03 1.033986e-03
## Dependent_count 9.779970e-04 8.329896e-04
## Education_Level -3.300565e-04 -2.575664e-05
## Marital_Status -2.313759e-04 8.919061e-04
## Income_Category 1.786764e-03 4.790483e-04
## Card_Category 4.791422e-05 4.293278e-04
## Months_on_book 3.979566e-03 2.058169e-03
## Total_Relationship_Count 2.775854e-02 3.019509e-02
## Months_Inactive_12_mon 2.614384e-02 1.118209e-03
## Contacts_Count_12_mon 1.256655e-02 3.775704e-03
## Credit_Limit 1.658302e-02 1.562067e-02
## Total_Revolving_Bal 5.519389e-02 4.329613e-02
## Avg_Open_To_Buy 1.585864e-02 1.340014e-02
## Total_Amt_Chng_Q4_Q1 3.295152e-02 7.025154e-03
## Total_Trans_Amt 1.206601e-01 9.111235e-02
## Total_Trans_Ct 2.293462e-01 9.341732e-02
## Total_Ct_Chng_Q4_Q1 7.746523e-02 1.304206e-02
## Avg_Utilization_Ratio 1.996793e-04 3.678767e-02
## MeanDecreaseAccuracy MeanDecreaseGini
## Customer_Age 6.305797e-03 68.546653
## Gender 2.118352e-03 16.628755
## Dependent_count 8.573388e-04 24.701973
## Education_Level -7.068849e-05 21.902350
## Marital_Status 7.155757e-04 16.889229
## Income_Category 6.830764e-04 22.031096
## Card_Category 3.667624e-04 4.975991
## Months_on_book 2.362723e-03 49.256432
## Total_Relationship_Count 2.980585e-02 130.312556
## Months_Inactive_12_mon 5.089532e-03 48.588097
## Contacts_Count_12_mon 5.180412e-03 52.778717
## Credit_Limit 1.575873e-02 66.459472
## Total_Revolving_Bal 4.516775e-02 187.127808
## Avg_Open_To_Buy 1.377973e-02 61.683529
## Total_Amt_Chng_Q4_Q1 1.115263e-02 119.421440
## Total_Trans_Amt 9.577703e-02 331.524372
## Total_Trans_Ct 1.150181e-01 317.868792
## Total_Ct_Chng_Q4_Q1 2.327270e-02 226.730460
## Avg_Utilization_Ratio 3.096715e-02 110.906429
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 3096
##
##
## | val$predicted_Attrition_Flag
## val$Attrition_Flag | Attrited Customer | Existing Customer | Row Total |
## -------------------|-------------------|-------------------|-------------------|
## Attrited Customer | 423 | 87 | 510 |
## | 1611.143 | 278.288 | |
## | 0.829 | 0.171 | 0.165 |
## | 0.928 | 0.033 | |
## | 0.137 | 0.028 | |
## -------------------|-------------------|-------------------|-------------------|
## Existing Customer | 33 | 2553 | 2586 |
## | 317.743 | 54.883 | |
## | 0.013 | 0.987 | 0.835 |
## | 0.072 | 0.967 | |
## | 0.011 | 0.825 | |
## -------------------|-------------------|-------------------|-------------------|
## Column Total | 456 | 2640 | 3096 |
## | 0.147 | 0.853 | |
## -------------------|-------------------|-------------------|-------------------|
##
##
377 I predicted are going to leave
The cost of my program is 377 x 100 = $37,700
WE will save 30% of 399 = 119.7, which has value of 2300 x 119.7 =
$275,310
The net of this program is $275,310 from 3,001
Per customer is $91.74