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README.md
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Jan 2025
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The dataset consists of 10 numerical and 8 categorical attributes.
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The 'Revenue' attribute can be used as the class label.
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Jan 2025
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# Lead scoring for e-commerce customer using random forest
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To classify whether a potential customer is a hot lead or a cold lead. Classification with random forest using e-commerce customer browsing behavioural data.
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# dataset source
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https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
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# Additional Variable Information
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The dataset consists of 10 numerical and 8 categorical attributes.
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The 'Revenue' attribute can be used as the class label.
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