Hello,
In this project we worked on Bank_Personal_Loan_Modelling dataset to classify the clients into two classes (take loan or not)
and predict if the new client is likely to take a loan or not
On our work used five kind of algorithms to the find algorithm with highest f1_score
LogisticRegression
KNeighborsClassifier
DecisionTreeClassifier
RandomForestClassifier
VotingClassifier
And
In the end, we found Voting Classifier is the best algorithm.
with accurecy score = 97.53 %
and with f1_score = 98 %
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mohammedelnabawy/Bank_Personal_Loan_Modelling
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Hello, In this project we work on Bank_Personal_Loan_Modelling dataset to classify the clients into two classes (take loan or not) and predict if the client likely to take a loan or not
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