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Customer Retention Deep Learning Model
License: Apache License 2.0
customer-retention-deep-learning's Introduction
Customer-Retention-Deep-Learning
- Dataset is about bank customers in which we evaluate the customers retaining prediction.
- We will measure why customers are leaving.
- We will build a deep learning model to predict the retention
- At the end we use precision,recall, f1-score to measure the performance of our model.
Bulit a Model by using Tensorflow
- Used RELU and Softmax as an activation
- Choose optimizers as Adam and loss as binary_crossentropy
- We tried 10 epochs on model training
- Model secued 85% performance.
- 1552 times found correct and 55 times uncorrect at 0 which is 97% we can see on Recall 0
- 144 times found correct and 249 times uncorrect at 1 which is 37% we can see on Recall 1
- 1552 times found correct and 249 times uncorrect at 0 which is 86% we can see on Precision 0
- 144 times found correct and 55 times uncorrect at 1 which is 72% we can see on Precision 1
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