In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm
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In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.
S-CHAN11/Insurance-Claim-Prediction
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In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.
Topics
random-forest
exploratory-data-analysis
variable-importance
hyperparameter-optimization
artificial-neural-networks
auc
predictive-analysis
cart
confusion-matrix
predictive-modeling
decision-tree-classifier
model-evaluation
classification-report
multivariate-analysis
random-forest-classifier
gridsearchcv
label-encoding
univariate-analysis
neural-network-classifier
data-cleaning-and-preprocessing
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