jennifer ruurs
  • Member for 2 years, 3 months
  • Last seen more than 1 year ago
  • Rotterdam, Netherlands
3 answers
6 votes
661 views
1 bookmarks
Is k-fold cross-validation more effective than splitting the dataset into training and test datasets to prevent overfitting?
1 answers
5 votes
84 views
Why would the application of boosting prevent underfitting?
1 answers
5 votes
69 views
How could decision tree learning algorithms cope with imbalanced classes?
1 answers
5 votes
365 views
Are deep learning models more prone to overfitting than machine learning ones?
1 answers
5 votes
184 views
How can I avoid overfitting when doing parameter tuning?
2 answers
4 votes
63 views
1 bookmarks
Oposite type of predictions for unbalanced dataset
1 answers
3 votes
62 views
2 bookmarks
Why do Bayesian algorithms work well with small datasets?
1 answers
3 votes
128 views
What needs to be done to make a fair algorithm?
2 answers
2 votes
310 views
1 bookmarks
When should I use a linear activation instead of ReLU?
1 answers
2 votes
54 views
How can I determine the bias and variance of a random forrest?
1 answers
2 votes
21 views
Can we say: the more we increase the numbers of cross validation the less likely it is that we overfit?
1 answers
1 votes
247 views
How does the decision tree implicitly do feature selection?
0 answers
1 votes
29 views
1 bookmarks
How would the "best function" been constructed if there are no computationally limitations?
1 answers
1 votes
69 views
How should I interpret this validation plot?
1 answers
0 votes
72 views
How to interpret this learning curve plot
1 answers
0 votes
71 views
What can I do with an autoencoder?