Questions tagged [ensemble]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
0answers
8 views

Why are deep ensembles and monte carlo dropout never used simultanuously in uncertainty estimation

In papers on this topic, I have seen deep ensembles being compared to dropout monte carlo. I was wondering why they are never used simultanously, since adding dropout monte carlo to every member of an ...
0
votes
0answers
7 views

How to weight models for ensemble learning where models dont always have an output?

I have a problem, where I need to weight models for ensemble learning, however, some models aren't always able to give a prediction. The problem to classify 1 unit to win out of several ( 5 - 10 other ...
1
vote
1answer
41 views

How can I make ROC and compute AUC?

I created a boosting tree and got the probability for each tuple in my testing set. But I'm confused on how to combine each probability. Can someone tell me how to combine the probabilities?
0
votes
1answer
61 views

Combining Classifiers with different Precision and Recall values

Suppose I have two binary classifiers, A and B. Both are trained on the same set of data, and produce predictions on a different (but same for both classifiers) set of data. The precision for A is ...
2
votes
1answer
51 views

When and how to use bagging?

Can all types of ML methods benefit from bagging? Decision Tree Classification seems always be the go-to example of bagging, what about other classifiers or regressions? When it's suitable to do ...
1
vote
2answers
78 views

How to visualize Ensemble Models ( Random Forest) with 1000 estimators

I am working on classification problem where I need to categorize the user in buy/ non-buy category. I have around 100 + features or predictors to predict the behavior of user. I tried to implement ...
1
vote
0answers
315 views

How to create an ensemble in tensorflow using tf.estimator?

I have created a neural network using tensorflow's estimator API: ...
2
votes
2answers
108 views

xgboost cannot identify perfectly fitting regression line

For a dataset I want to use xgboost for the optimal ensembling of $n$ forecasts instead of just using their arithmetic mean for combination. I found that xgboost generates forecasts that are worse ...
3
votes
0answers
56 views

Gridsearch XGBoost for ensemble. Do I include first-level prediction matrix of base learners in train set?

I'm not quite sure how I should go about tuning xgboost before I use it as a meta-learner in ensemble learning. Should I include the prediction matrix (ie. df containing columns of prediction results ...
4
votes
1answer
423 views

Geometric and harmonic means in ensembling methods

When using ensembling methods for regression, a common approach is to average (using the arithmetic mean) the outputs of the weak learners in order to obtain the output of the ensemble. Is there a ...
3
votes
1answer
91 views

Methods for ensembling ranked lists?

I was wondering if there's a good way to use ensembling when I have two or more algoritims producing ranked lists. That is, suppose I have the following datasets consisting of ordered lists (higher ...
2
votes
2answers
147 views

How to create an ensemble that gives precedence to a specific classifier

Suppose that in a binary classification task, I have separate classifiers A, B, and C. If I ...
2
votes
1answer
76 views

Can clustering my data first help me learn better classifiers?

I was thinking about this lately. Let's say that we have a very complex space, which makes it hard to learn a classifier that can efficiently split it. But what if this very complex space is actually ...