Questions tagged [partial-dependency-plots]
4 questions
3
votes
1 answer
Extrapolation using machine learning models under specific assumptions
I have a problem that requires inherently extrapolation. I am aware that this a crucial matter with most (if not all) machine learning models.
Yet, given the physical phenomenon underlying the experiment, there is some expert knowledge that could be…
Henrique
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Using bootstrap confidence intervals for partial dependence plots
Core Question
Bootstrapping could be used to calculate confidence intervals (CIs) for Partial Dependence Plots (PDPs) from a random forest. But would this be appropriate?
Example
I have a dataset with 5000 observations, a (count) dependent variable…
TheBoro
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Understanding the behavior of a neural network when extrapolated
I trained a Multilayer Perceptron to predict a variable Y based on a set of predictors. Then I decided to test it on unseen data outside of the training range. I am aware of (some of) the implications of extrapolating machine learning models, and…
Henrique
- 105
- 6
0
votes
0 answers
Partial_dependence_plot with gbt estimator has a mean response shift between curves computed by different methods ( 'brute' or 'recursion')
The new version of scikit-learn's partial_dependence function has the 'kind' additional option. With kind='average' one can compute the values for the partial dependence plot (PDP), with kind='individual' one can plot the individual conditional…
noemi
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