I'm using the Titanic data set to classify the missing Cabins. There is a lot of missing Cabin values. My objective is just to assign the letter of the Cabin without the room number. So, I'm just wanting to use the models to assign the section letter. I've used 4 models:
- (2) RandomForestClassifier with two different parameters
- a LinearSVC model
- a OVR with SVC as the base estimator
However, my scores are extremely poor. I have not tried using the GridSearchCV yet to try to find the best parameters for the models because I wanted to see if there is any recommendations on which parameters to use that could possible give better scores than what I was able to get.
Here is my notebook to see my work: https://github.com/SugarfreeTX/kaggle/blob/master/cabin_classification.ipynb
The data set is in the repository.