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Results tagged with r
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user 284935
Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
1
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0
answers
69
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Confidence interval crosses 0 but statistical significance at p < 0.05 using robust post hoc...
I have 12 groups so 66 contrasts, though I'm only interested in 6 of them, I'm using the mcppb20() function from Rand Wilcox's WRS package in R. …
- 82.8k
1
vote
1
answer
687
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Can different models have the same accuracy? [closed]
I'm doing binary classification on different models,
GLM, Random forest and SVM have the same accuracy, recall, specificity, precision and f1 score, however they all have a different AUC-PR curve.
…
- 67.2k
1
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0
answers
604
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Models have high accuracy but very low AUC PR curve
method = "nb", trControl = ctrl)
cm <- confusionMatrix(predict(nb, sonar_test), sonar_test$Class)
plot(pr.curve(scores.class0 = nb$pred$M[sonar_test$Class == "M"],
scores.class1 = nb$pred$R[ … sonar_test$Class == "R"],
curve = T)) …
- 77
1
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1
answer
196
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With two different random seeds for binary classification, I have the exact same result for ...
With a binary classification analysis, I find myself with the exact same accuracy, recall and specificity for both a qda and glm model.
When I apply the same random seed to both classification model …
- 5,247
1
vote
1
answer
616
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Importance value (with varImp from carret package) for one of the two numerical predictors h...
I'm using two numerical predictors to find an outcome, when using varImp (from the carret package) one of the predictors has 100 importance and the other 0.
How should I interpret this?
- 5,247
2
votes
0
answers
557
views
How to calculate variable importance for different models? is varImp() the solution?
I'm using caret's train() function for a binary classification outcome with different models (nb, knn, lda, qda, glm, rpart, rf).
I'm using varImp() and plots to determine the importance of every fea …
- 77