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Results tagged with scikit-learn
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user 11097
scikit-learn is a popular machine learning package for Python that has simple and efficient tools for predictive data analysis. Topics include classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
2
votes
Extremely dominant feature?
You seem to be using the Random Forest model.
I don't see how that feature would influence the model. It actually doesn't make a difference, as random forest divides the sample space iteratively, an …
- 8,416
34
votes
How to force weights to be non-negative in Linear regression
What you are looking for, is the Non-negative least square regression.
It is a simple optimization problem in quadratic programming where your constraint is that all the coefficients(a.k.a weights) sh …
- 8,416
6
votes
Accepted
When does boosting overfit more than bagging?
I read your question as: 'Is boosting more vulnerable to overfitting than bagging?'
Firstly, you need to understand that bagging decreases variance, while boosting decreases bias.
Also, to be noted …
- 8,416
15
votes
Calculating KL Divergence in Python
I'm not sure with the scikit-learn implementation, but here is a quick implementation of the KL divergence in Python:
import numpy as np
def KL(a, b):
a = np.asarray(a, dtype=np.float)
b = np …
- 8,416
3
votes
How to prevent/tell if Decision Tree is overfitting?
Can you tell by an accuracy score?
A general notion of gauging an overfit or an underfit is via validation curves.
How can we do this?
Not just a decision tree, (almost) every ML algorithm …
- 8,416
4
votes
Is there a way of performing stratified cross validation using xgboost module in python?
What you are doing is a typical example of k-fold cross validation.
XGBoost is just used for boosting the performance and signifies "distributed gradient boosting".
First, run the cross-validation s …
- 8,416
4
votes
How much time do scikit classifiers take to classify?
I don't see a huge problem here. So, I would try to answer all of your questions from the production-level point of view:
How do I confirm that classification will not take much time?
Take a su …
- 8,416
13
votes
How to calculate the fold number (k-fold) in cross validation?
Depends on how much CPU juice you are willing to afford for the same. Having a lower K means less variance and thus, more bias, while having a higher K means more variance and thus, and lower bias.
…
- 8,416
2
votes
How to use Cohen's Kappa as the evaluation metric in GridSearchCV in Scikit Learn?
In addition to the link in the existing answer, there is also a Scikit-Learn laboratory, where methods and algorithms are being experimented.
In case you are okay with working with bleeding edge code …
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