User jennifer ruurs

jennifer ruurs

Member for 4 years, 1 month
Last seen more than 3 years ago

Rotterdam, Netherlands

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Oct 18, 2021

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machine-learning

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random-forests

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cross-validation

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overfitting

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Is k-fold cross-validation more effective than splitting the dataset into training and test datasets to prevent overfitting?

Nov 17, 2019

How could decision tree learning algorithms cope with imbalanced classes?

Nov 18, 2019

How can I avoid overfitting when doing parameter tuning?

Oct 23, 2019

Are deep learning models more prone to overfitting than machine learning ones?

Nov 8, 2019

Why would the application of boosting prevent underfitting?

Nov 14, 2019

Oposite type of predictions for unbalanced dataset

Nov 25, 2019

Why do Bayesian algorithms work well with small datasets?

Nov 23, 2019

What needs to be done to make a fair algorithm?

Nov 14, 2019

Can we say: the more we increase the numbers of cross validation the less likely it is that we overfit?

Oct 23, 2019

How can I determine the bias and variance of a random forrest?

Oct 19, 2019