@Alex123 wrote:
We are trying to predict customer's Total recharge value for the next week. We came up with 8 recharge bands. So its now a classification problem. We have tried history of last 8 weeks(Weekly aggregated attributes). We have tried all the famous techniques like feature selection, PCA, feature engineering, tried different algorithms, balancing, boosting, bagging. But the overall accuracy is always below 45%. How can we improve it ? Also can time series be of any help for this problem?
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