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unbalanced classes related issues & queries in StatsXchanger
Which classification model should I choose and Why?
classification
svm
unbalanced-classes
model-evaluation
multi-class
Updated February 12, 2019 14:19 PM
1
answers
4
views
0
votes
How to find AUC for Precision-recall curve using glmnet in R?
classification
regularization
unbalanced-classes
auc
precision-recall
Updated February 10, 2019 04:19 AM
0
answers
2
views
0
votes
Effects of class imbalance on nn batch training
neural-networks
sampling
gradient-descent
unbalanced-classes
Updated February 09, 2019 04:19 AM
0
answers
2
views
0
votes
Divide multi-label classification problem into binary classification subproblems
machine-learning
classification
unbalanced-classes
precision-recall
Updated February 05, 2019 16:19 PM
0
answers
2
views
0
votes
Suitable performance metric for an unbalanced multi-class classification problem?
classification
unbalanced-classes
model-evaluation
metric
Updated February 04, 2019 14:19 PM
0
answers
6
views
1
votes
Between-subject fMRI classification: subjects with different number of runs
machine-learning
classification
svm
unbalanced-classes
diagnostic
Updated January 31, 2019 03:19 AM
0
answers
3
views
0
votes
SMOTE - What is the difference in sampling before or inside train()
r
classification
unbalanced-classes
caret
smote
Updated January 30, 2019 16:19 PM
0
answers
2
views
0
votes
unbalanced 3 factor ANOVA in R
r
anova
unbalanced-classes
manova
Updated January 29, 2019 17:19 PM
0
answers
3
views
0
votes
Metrics for unbalanced classes
unbalanced-classes
metric
Updated January 29, 2019 14:19 PM
1
answers
7
views
0
votes
Feature selection for low probability event prediction
machine-learning
feature-selection
unbalanced-classes
Updated January 29, 2019 12:19 PM
2
answers
1331
views
6
votes
At which threshold is unbalanced data a problem for a binary classification tree?
machine-learning
classification
predictive-models
unbalanced-classes
Updated January 29, 2019 10:19 AM
0
answers
3
views
0
votes
ROSE and SMOTE oversampling methods
unbalanced-classes
oversampling
smote
Updated January 28, 2019 12:19 PM
1
answers
7829
views
5
votes
Evaluation metric and Class Imbalance in Label Propagation
classification
metric
unbalanced-classes
Updated January 28, 2019 08:19 AM
1
answers
273
views
2
votes
Using separate models to predict unbalanced classes
machine-learning
classification
unbalanced-classes
Updated January 27, 2019 14:19 PM
0
answers
4
views
0
votes
Can I compute an F1 score when the test data has no examples of one class?
machine-learning
unbalanced-classes
accuracy
confusion-matrix
cohens-kappa
Updated January 25, 2019 17:19 PM
1
answers
5
views
0
votes
Deal with highly unbalanced data classes
r
machine-learning
classification
unbalanced-classes
Updated January 24, 2019 17:19 PM
0
answers
5
views
0
votes
Correcting sample selection bias of binary classifiers
machine-learning
classification
binary-data
unbalanced-classes
selection-bias
Updated January 19, 2019 21:19 PM
0
answers
3
views
0
votes
Measuring class imbalance of a dataset
machine-learning
unbalanced-classes
Updated January 18, 2019 02:19 AM
0
answers
3
views
0
votes
Incorporating uneven sample sizes into linear mixed models
mixed-model
unbalanced-classes
Updated January 17, 2019 19:19 PM
0
answers
4
views
0
votes
Consequences of unbalanced subgroups of categorical variables in logistic regression?
logistic
unbalanced-classes
Updated January 17, 2019 12:19 PM
0
answers
6
views
0
votes
How to approach memory issues with up/down-sampling problem across millions of rows in database that can't be loaded locally? (class imbalance)
classification
cross-validation
unbalanced-classes
caret
Updated January 16, 2019 16:19 PM
0
answers
9
views
1
votes
Which is the right way to handle imbalanced data in a regression problem?
regression
machine-learning
unbalanced-classes
weighted-regression
weighted-sampling
Updated January 16, 2019 10:19 AM
0
answers
2
views
0
votes
ROC and PR curves after over/under sampling in Unbalanced datasets
unbalanced-classes
roc
precision-recall
resampling
Updated January 16, 2019 00:19 AM
0
answers
3
views
0
votes
Bootstrapped linear regression with unbalanced factors
regression
categorical-data
bootstrap
unbalanced-classes
Updated January 15, 2019 17:19 PM
0
answers
5
views
0
votes
Do I need to treat class imbalance before preforming RFE (Recursive Feature Elimination)?
r
machine-learning
classification
feature-selection
unbalanced-classes
Updated January 15, 2019 17:19 PM
0
answers
3
views
0
votes
Random Forests with modified partitioning criteria
classification
random-forest
unbalanced-classes
partitioning
Updated January 14, 2019 22:19 PM
1
answers
312
views
1
votes
Evaluating binary classifier model. What can say precision, recall etc.?
classification
unbalanced-classes
roc
model-evaluation
precision-recall
Updated January 13, 2019 15:19 PM
0
answers
6
views
0
votes
Multinomial Logistic Regression: small groups
regression
sample-size
unbalanced-classes
multinomial-logit
Updated January 11, 2019 12:19 PM
0
answers
3
views
0
votes
Interpreting probabilities from image classifier, which model to use?
classification
conv-neural-network
unbalanced-classes
computer-vision
Updated January 08, 2019 13:19 PM
0
answers
6
views
0
votes
Should oversampling/undersampling be applied only during CV or also for final model creation?
classification
model
unbalanced-classes
oversampling
Updated January 05, 2019 03:19 AM
0
answers
2
views
0
votes
classification-multivariate analysis+creation of class variable
r
machine-learning
svm
multivariate-analysis
unbalanced-classes
Updated January 04, 2019 12:19 PM
0
answers
2
views
0
votes
Biased coefficient estimates when using logistic regression with unbalanced classes?
regression
logistic
regression-coefficients
bias
unbalanced-classes
Updated December 29, 2018 14:19 PM
0
answers
7
views
0
votes
Adjusting probability threshold for sklearn's logistic regression model
machine-learning
logistic
python
scikit-learn
unbalanced-classes
Updated December 29, 2018 05:19 AM
0
answers
3
views
0
votes
Efficiency of decision trees
classification
categorical-data
scikit-learn
cart
unbalanced-classes
Updated December 26, 2018 15:19 PM
0
answers
4
views
0
votes
Are Micro and Macro F1 enough for imbalanced classifier evaluation? What about AUC?
classification
unbalanced-classes
model-evaluation
Updated December 25, 2018 23:19 PM
0
answers
3
views
0
votes
What is the effect of training a model on an imbalanced dataset & using it on a balanced dataset?
unbalanced-classes
precision-recall
auc
Updated December 22, 2018 04:19 AM
1
answers
354
views
2
votes
Recommender using classification
machine-learning
unbalanced-classes
recommender-system
Updated December 19, 2018 15:19 PM
0
answers
5
views
0
votes
Getting 100% Random Forest - What is wrong with my model?
classification
random-forest
unbalanced-classes
Updated December 14, 2018 14:19 PM
0
answers
10
views
0
votes
Balancing classes for Neural Network training
neural-networks
unbalanced-classes
Updated December 12, 2018 07:19 AM
1
answers
373
views
1
votes
Imbalanced multiclass classification with many classes
machine-learning
classification
text-mining
unbalanced-classes
multi-class
Updated December 11, 2018 18:19 PM
0
answers
2
views
0
votes
Imbalanced class SVM prediction results using different validation data
machine-learning
svm
unbalanced-classes
validation
oversampling
Updated December 11, 2018 08:19 AM
0
answers
3
views
0
votes
How to handle with "in class" imbalance in machine learning?
machine-learning
unbalanced-classes
supervised-learning
Updated December 10, 2018 00:19 AM
0
answers
88
views
3
votes
Question about sample size for each class for machine learning classifiers
machine-learning
classification
svm
unbalanced-classes
fraud
Updated December 08, 2018 23:19 PM
0
answers
8
views
1
votes
State of the art in feature extraction from review text
natural-language
unbalanced-classes
feature-construction
feature-engineering
sentiment-analysis
Updated December 08, 2018 01:19 AM
0
answers
2
views
0
votes
Imputing and Handlung Class Imbalance
unbalanced-classes
data-imputation
Updated December 06, 2018 14:19 PM
0
answers
3
views
0
votes
Imbalanced Test Data
machine-learning
unbalanced-classes
metric
Updated December 06, 2018 00:19 AM
0
answers
4
views
0
votes
Encoding variable number of categorical features
classification
categorical-data
unbalanced-classes
categorical-encoding
many-categories
Updated November 28, 2018 14:19 PM
0
answers
3
views
0
votes
Can SMOTE deal with categorical variables
machine-learning
categorical-data
unbalanced-classes
Updated November 24, 2018 23:19 PM
0
answers
517
views
4
votes
Power rank/Composite score help needed
standard-deviation
unbalanced-classes
ranking
excel
z-score
Updated November 24, 2018 06:19 AM
0
answers
2
views
0
votes
using (deep) neural networks for a severely imbalanced image dataset when some classes have <10 images
machine-learning
neural-networks
deep-learning
unbalanced-classes
transfer-learning
Updated November 22, 2018 15:19 PM
1
answers
22
views
0
votes
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