A confusion matrix is a contingency table of correct and incorrect classifications used to evaluate the performance of a classification algorithm in machine learning.
I have two confusion matrices with calculated values as true positive (tp), false positives (fp), true negatives(tn) and false …
r ggplot2 confusion-matrixIn R caret library, if I got a confusion matrix like this below, if there a way to retrieve the …
r r-caret confusion-matrixI can't for the life of me figure out how to compute a confusion matrix on rpart. Here is what …
r machine-learning classification decision-tree confusion-matrixI am getting a Classification metrics can't handle a mix of multilabel-indicator and multiclass targets error when I try to …
python machine-learning keras scikit-learn confusion-matrixI have a multiclass classification task. When I run my script based on the scikit example as the follows: classifier = …
python scikit-learn classification confusion-matrixHow do I calculate accuracy, precision and recall for each class from a confusion matrix? I am using the embedded …
r machine-learning confusion-matrix precision-recallSo I'm using sci-kit learn to classify some data. I have 13 different class values/categorizes to classify the data to. …
python machine-learning scikit-learn confusion-matrixHow do you compute the true- and false- positive rates of a multi-class classification problem? Say, y_true = [1, -1, 0, 0, 1, -1, 1, 0, …
python scikit-learn confusion-matrix multiclass-classificationI am working with the confusion matrix. So for each loop I have an array (confusion matrix). As I am …
python-3.x numpy multidimensional-array confusion-matrixFollowing the Pytorch Transfer learning tutorial, I am interested in reporting only train and test accuracy as well as confusion …
python scikit-learn pytorch confusion-matrix transfer-learning