weka churn
In an attempt to answer these questions the company data was organised and analysed using Weka software. The data is composed of 21 attributes with nominal ... ,2017年7月4日 — as well as metrics about customer retention and churn. ... Reason here was that we tried to keep the actual Weka model as simple as. ,由 H Jain 著作 · 2020 · 被引用 12 次 — Churn Prediction in Telecommunication using Logistic Regression and Logit Boost ... Experiment was carried out in the WEKA Machine-learning tool, ... ,Our paper proposes a new framework for the churn prediction using WEKA tool employs several classification algorithm and based on the outcome of ... ,由 NNPP Tanneedi 著作 · 被引用 8 次 — This thesis aims to predict customer churn using Big Data analytics, namely a J48 decision tree on a Java based benchmark tool,. WEKA. Three different datasets ... ,2019年2月14日 — 最後一個欄位為Churn，是目標預測欄位，標記上個月是否流失。 欄位意義. 前處理. 型態修正. 原始資料是csv，可透過weka 載入，另存成arff 專用檔。
| 相關軟體 Weka 資訊 | |
|---|---|
 weka churn 相關參考資料
(DOC) Data Analysis Using WEKA-Issues in Customer Churning
In an attempt to answer these questions the company data was organised and analysed using Weka software. The data is composed of 21 attributes with nominal ... https://www.academia.edu (PDF) Churn analysis - machine learning - ResearchGate
2017年7月4日 — as well as metrics about customer retention and churn. ... Reason here was that we tried to keep the actual Weka model as simple as. https://www.researchgate.net Churn Prediction in Telecommunication using Logistic ...
由 H Jain 著作 · 2020 · 被引用 12 次 — Churn Prediction in Telecommunication using Logistic Regression and Logit Boost ... Experiment was carried out in the WEKA Machine-learning tool, ... https://www.sciencedirect.com Customer Churn Prediction in the Mobile Telecommunication ...
Our paper proposes a new framework for the churn prediction using WEKA tool employs several classification algorithm and based on the outcome of ... https://www.researchgate.net Customer Churn Prediction Using Big Data Analytics - DiVA
由 NNPP Tanneedi 著作 · 被引用 8 次 — This thesis aims to predict customer churn using Big Data analytics, namely a J48 decision tree on a Java based benchmark tool,. WEKA. Three different datasets ... https://www.diva-portal.org 機器學習模型之研究- 以電信業者為例 - TPIsoftware
2019年2月14日 — 最後一個欄位為Churn，是目標預測欄位，標記上個月是否流失。 欄位意義. 前處理. 型態修正. 原始資料是csv，可透過weka 載入，另存成arff 專用檔。 https://www.tpisoftware.com |