In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm
-
Notifications
You must be signed in to change notification settings - Fork 0
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
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
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
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published