User Tchotchke

13 votes

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Best practices for coding categorical features for Decision Trees?

answered Oct 20, 2015 at 19:24

8 votes

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Machine Learning Book (Python)

answered Aug 4, 2015 at 19:44

8 votes

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Choosing complexity parameter in CART

answered Aug 17, 2015 at 12:55

7 votes

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Find close pairs in very high dimensional space with sparse vectors

answered Sep 11, 2015 at 15:53

4 votes

Why ROC increasing with more variable addition in logistic regression?

answered Aug 5, 2015 at 12:11

4 votes

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How to compare 2 classifers using confusion matrix?

answered Aug 17, 2015 at 16:34

4 votes

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A priori parameters to Random Forest based on n and p

answered Aug 14, 2015 at 15:51

3 votes

Variable Importance of R Random Forests

answered Sep 25, 2015 at 17:41

3 votes

Open-sourced pairwise learning models

answered Oct 2, 2015 at 16:18

3 votes

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What is a reasonable model measurement for a binary classification on an imbalanced data set? Accuracy? ROC?

answered Oct 16, 2015 at 12:10

3 votes

K-Fold Cross Validation for mixed-effect models: how to score them?

answered Aug 5, 2015 at 12:54

3 votes

Making a single decision tree from a random forest

answered Sep 14, 2015 at 14:30

2 votes

Avoiding overfitting with linear regression trees

answered Aug 17, 2015 at 14:30

2 votes

RandomForestClassifier Parameter Optimization

answered Aug 20, 2015 at 15:51

1 vote

How to report confusion matrix of Random Forest classifier on test set using R?

answered Aug 24, 2015 at 15:26

1 vote

Comparing CV Predictions across Folds for Random Forest

answered Aug 26, 2015 at 13:16

1 vote

How to use external data?

answered Aug 13, 2015 at 14:18

1 vote

receiver operating characteristic (ROC) on a test set

answered Aug 13, 2015 at 18:43

1 vote

Double (nested,wrapper) CrossValidation - final trained model

answered Aug 13, 2015 at 19:40

1 vote

Model based approaches to content based recommenders. How does this work?

answered Aug 17, 2015 at 17:39

1 vote

Decision trees in smaller datasets

answered Aug 17, 2015 at 20:27

1 vote

Feature selection when using cross validation

answered Aug 18, 2015 at 13:35

1 vote

Rare event bias techniques

answered Oct 16, 2015 at 17:37

1 vote

How to avoid overfitting in stratified k-fold cross validation methods for classification?

answered Oct 22, 2015 at 17:21

1 vote

How to validate k-fold cross validation results for classifiers?

answered Oct 22, 2015 at 17:30

1 vote

Cascade SVM in R

answered Dec 15, 2015 at 20:33

0 votes

Selection Bias - Taking a subset of a larger database

answered Apr 27, 2016 at 14:21

0 votes

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General question on the analysis design

answered Aug 20, 2015 at 12:37

0 votes

splitting a training data set based on classifier accuracy

answered Sep 24, 2015 at 13:04

0 votes

How to work a data set with a huge number of features?

answered Sep 25, 2015 at 15:27

Stack Exchange Network

30 Answers

Best practices for coding categorical features for Decision Trees?

Machine Learning Book (Python)

Choosing complexity parameter in CART

Find close pairs in very high dimensional space with sparse vectors

Why ROC increasing with more variable addition in logistic regression?

How to compare 2 classifers using confusion matrix?

A priori parameters to Random Forest based on n and p

Variable Importance of R Random Forests

Open-sourced pairwise learning models

What is a reasonable model measurement for a binary classification on an imbalanced data set? Accuracy? ROC?

K-Fold Cross Validation for mixed-effect models: how to score them?

Making a single decision tree from a random forest

Avoiding overfitting with linear regression trees

RandomForestClassifier Parameter Optimization

How to report confusion matrix of Random Forest classifier on test set using R?

Comparing CV Predictions across Folds for Random Forest

How to use external data?

receiver operating characteristic (ROC) on a test set

Double (nested,wrapper) CrossValidation - final trained model

Model based approaches to content based recommenders. How does this work?

Decision trees in smaller datasets

Feature selection when using cross validation

Rare event bias techniques

How to avoid overfitting in stratified k-fold cross validation methods for classification?

How to validate k-fold cross validation results for classifiers?

Cascade SVM in R

Selection Bias - Taking a subset of a larger database

General question on the analysis design

splitting a training data set based on classifier accuracy

How to work a data set with a huge number of features?