Random forest sklearn cross_val_score anomaly

Does scikit-learn cross_val_score function normally allows you to predict the score of your submission? I am facing a weird behaviour where I am getting cross_val_score value of ~0.81, but my submission earns only 0.68. Is this normal behaviour, can this even be explained? I am using RandomForestClassifier, features are: Age, Pclass, family size, Sex. Any insights would be greatly appreciated. Rokas

Link to Full Article: Random forest sklearn cross_val_score anomaly

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!