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 am working with a multi-class multi-label output from my classifier. The total number of classes is 14 and instances can …
python scikit-learn confusion-matrixI have problem about calculating the precision and recall for classifier in matlab. I use fisherIris data (that consists of 150 …
matlab knn confusion-matrix precision-recallI've created a confusion matrix from the observations and its predictions in 3 classes. classes=c("Underweight", "Normal", "Overweight") When I …
r confusion-matrixI am using model.fit_generator to train and get results for my binary (two class) model because I am …
keras confusion-matrixSuppose I have a factor variable y with n levels, for which I have both predictions and real outcomes available. …
r confusion-matrixI know what is a confusion matrix. Given N classes we have a NxN matrix M where - each row …
matlab confusion-matrixI have a confusion matrix created with sklearn.metrics.confusion_matrix. Now, I would like to plot it with sklearn.…
python scikit-learn confusion-matrixI have data with binary YES/NO Class response. Using following code for running RF model. I have problem in …
r random-forest r-caret confusion-matrixHere is my sample R code: train <- read.csv("Train.csv") test <- read.csv("Test+.csv") …
r machine-learning svm libsvm confusion-matrixI am plotting a confusion matrix for a multiple labelled data, where labels look like: label1: 1, 0, 0, 0 label2: 0, 1, 0, 0 label3: 0, 0, 1, 0 label4: 0, 0, 0, 1 I …
python machine-learning scikit-learn confusion-matrix