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README.md

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# UndErNsembled:
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## About the model:
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In this project, we reduced an imbalanced dataset (Undersampling) by <b>Consensus Clustering</b> using <b> 'Simple Majority Voting'</b> consensus function and further saw the increase in the accuracy of disease prediction by running multiple classifers with bagging and boosting technique.
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## Dataset:
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The dataset we have is the colon cancer dataset of <i>(62x2000)</i> dimension.
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## Result:
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This is the final result, i.e. comparison of different classifiers of predicting the disease accurately in both balanced and imbalanced data.
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![](https://github.com/arghac14/UndErNsembled/blob/master/Datasets/Capture.JPG)

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