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predict the churning rate of tele-comunication customer using svm model on Python platform

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Detect-Customer-Churn-Rate__SVM-Model

predict the churning rate of tele-comunication customer using svm model on Python platform

Procedure:

Click Customrer_Churn.ipynb

Datasets:

Click churn.csv

Result Preview:

the accuracy of SVC is:
0.9183918391839184
the accuracy of LogisticRegression is:
0.8598859885988599
the accuracy of KNeighborsClassifier is:
0.8871887188718872

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predict the churning rate of tele-comunication customer using svm model on Python platform

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