Solving the Titanic Kaggle Competition in Azure ML
ฝัง
- เผยแพร่เมื่อ 5 ก.ย. 2024
- In this tutorial, we will show you how to complete the Titanic Kaggle competition using Microsoft Azure Machine Learning Studio. This video assumes you have an Azure account and you understand how to use Azure.
Kaggle Titanic Experiment:
gallery.azure....
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#kaggle #azureml
Why do you train on 100% of your data. Even after cross validation you basically ignore your original model and train a complete new one. So with 100% of data you cannot ensure that your model gets worse than before can you? Thx
To evaluate his model he split the data into 7:3 ratio, but once you optimize the parameters and you have the model ready you can use 100% of the data to "re-build" the model robustly with the same parameters. Notice that Kaggle test data now becomes a new test dataset which you can use your trained model to predict.
Hi, I’m following your process for the “random acts of pizza” dataset from Kaggle.
In the model building I get around 75% accuracy which is matched with 10 fold cross validation with a variance of 1% either way. However after building the model on all train data and applying to the test set I get just a 52% accuracy score when submitted to Kaggle. If I am sure that I am following the steps correctly does this just in the card that my model is overfitting the train data?
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