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Final presentation - Group10(ADS)

Date post:15-Apr-2017
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Assignment-3Group-10Pooja GoyalShashwat MehraVarsha Holennavar

Lending Club Data Analysis

Project ObjectiveEnd Users : Borrowers And Lenders

Data Exploration

Data Pre-Processing

Models:

Ex: Loan Status Model

Model Evaluation for Loan StatusWe have compared over all accuracy, recall, precision, ROC curve and confusion matrixIf this model is to help lenders avoid bad loans, the true positive rate must be much more robust

Neural NetworkLogistic RegressionRandom forestAccuracy0.9146290.9100.9006Precision0.9146290.9350.9006Recall0.9146290.9570.9006

Model Evaluation for Interest RateModel Name / FeaturesNeural NetworkLinear RegressionBoosted Decision TreeRMSE1.501.791.20Co-efficient of Determination0.830.760.89

We have compared over all RMSE and Co-efficient of Determination.

Model Evaluation for Loan Approval We have compared over all accuracy, recall, precision, ROC curve and confusion matrixNeural NetworkLogistic RegressionRandom forestAccuracy0.81940.84100.80Precision0.81940.84100.780Recall0.81940.84100.822

Approach for DeploymentTableau

Sentiment Analysis

Demo

Team Assessment

Thank You

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