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Questions tagged [ensemble]

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0
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1answer
29 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 ...
1
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1answer
34 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 ...
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2answers
62 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 ...
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0answers
273 views

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

I have created a neural network using tensorflow's estimator API: ...
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2answers
87 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
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0answers
53 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
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1answer
318 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
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1answer
73 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
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2answers
125 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 ...
3
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1answer
74 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 ...