Stack Overflow
Stack Overflow

Questions tagged [adaboost]

AdaBoost is a meta machine learning algorithm. It performs several rounds of training in which the best weak classifiers are selected. At the end of each round, the still misclassified training samples are given a higher weight, resulting in more focus on these samples during the next round of selecting a weak classifier.

255 questions
0
votes
1 answer

Issue in understanding a part of Adaboost theory

Source:- https://machinelearningmastery.com/boosting-and-adaboost-for-machine-learning/ AdaBoost can be used to boost the performance of any machine learning algorithm. It is best used with weak learners. These are models that achieve accuracy…
Arnab Sinha
  • 301
  • 2
  • 7
  • 17
0
votes
0 answers

Stop fitting with AdaBoost, decrease learning rate and then keep refitting

I am currently using an AdaBoost Classifier. http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html I would like to run it with 400 estimators and default learning rate (1.0). Then once the zero_one_loss starts to…
Davide Porzio
  • 159
  • 1
  • 10
0
votes
2 answers

AttributeError: 'str' object has no attribute 'fit'

Hi I want to use a simple AdaBoostClassifier on the mushroom dataset which lools smth. like: target cap-shape cap-surface cap-color bruises odor \ 3059 0 2 3 2 1 5 1953 0 5 …
2Obe
  • 3,570
  • 6
  • 30
  • 54
0
votes
1 answer

What does the AdaBoost algorithm iterate over?

I am trying to implement the AdaBoost algorithm with decision stumps as the weak learners, although I cannot fully understand the structure of this algorithm. I am learning about the algorithm from the Wikipedia page -…
H_Lev1
  • 253
  • 4
  • 18
0
votes
1 answer

LDA as base learner for AdaBoost in Python

I'm working on multi-class classification using AdaBoost, with the base learner as a discriminant (linear or quadratic). I couldn't find any functionality in scikit-learn or any other library to implement this, how do I go about this?
user9499285
0
votes
0 answers

Reviews analyze with scikit-learn

I am using scikit-learn to analyze an Amazon reviews dataset. To achieve it (according with some examples) I do: Change text and summary to lower case, Change contractions and remove undesired characters Create an AdaBoostClassifier to fit my model…
jcgarciaca
  • 139
  • 12
0
votes
0 answers

error in matrix dataset when using boosting function from adabag package in R

today I was exploring adaboost technique. however, i copied the following example code from the adabag package document. data(iris) iris.adaboost <- boosting(Species~., data=iris, boos=TRUE, mfinal=10) importanceplot(iris.adaboost) there I didn't…
hareen tej
  • 89
  • 1
  • 3
  • 9
0
votes
1 answer

Adaboost algorithm for multi-class classification

What are the commonly used R packages used to apply adaboost algorithm for multi-class classification problem.
wxyz
  • 35
  • 9
0
votes
1 answer

How to combine HOG and LBP features with openCV in a signle cascade.xml file?

opencv_traincascade generates a cascade.xml files for only one feature(lbp or haar or hog). Is it possible to combine obtained results into a single file? Or is there any opencv utility that could generate a combination of two different type of…
Delgado
  • 216
  • 3
  • 16
0
votes
0 answers

AdaBoost in scikit-learn with 1D Weak Learners

I'm trying to replicate some previous work where an AdaBoost classifier was used for a two-class classification problem. There are 75 input dimensions but each weak learner exists in one dimension only. All of the input values lie in [0,1], and…
Dan Smallbone
  • 1
  • 1
0
votes
1 answer

Accord.net 3.8 AdaBoost Learner delegate

I'm so happy to Accord.net 3.8 version finally released and of course AdaBoost class had clean Decide and Learn methods. Please give me an example about new AdaBoost class or tell us more about datatype ISupervisedLearning I'd wrote some samples…
HamidEbr
  • 405
  • 1
  • 7
  • 19
0
votes
1 answer

Is it possible to use a different data set as input for prediction in AdaBoostRegressor (sklearn)?

I am just beginner of machine learning and I am playing sklearn now. I copied the example of AdaBoostRegressor from official site at here and added the following. X_pred = np.linspace (6, 12, 100)[:, np.newaxis] y_pred = regr_2.predict(X_1) As the…
mma
  • 1
  • 1
0
votes
0 answers

Exporting decion tree trained in adaboost (Graphviz)

Over the past few week I've been using the export_graphviz to explore certain paths (root to leaf) of my trained decision tree. I wanted to see what the effect of Adaptive boosting is on my tree so I used Adaboost classifier with…
Scorpio
  • 1
  • 2
0
votes
1 answer

Adaboost Algorithm Walkthrough for non-technical

I looked at these questions here and here. But i still couldn't find a satisfactory result for me to understand the algorithm. I understood what it does, and the general idea on how it does it, but still i don't feel comfortable enough to use it in…
Kaan E.
  • 515
  • 4
  • 16
0
votes
1 answer

How to implement an equivalent version of Adaboost in OpenCV and SciKit-learn?

Basically, I have the following in C++ (OpenCV): CvMLData cvml ... CvBoost boost; boost.train(&cvml, CvBoostParams(CvBoost::REAL, 1000, 0, 1, false, 0), false); and the following in Python (SciKit-learn): bdt =…
toto_tico
  • 17,977
  • 9
  • 97
  • 116
1 2 3
…
16 17