I am following a previous thread on how to plot confusion matrix in Matplotlib. The script is as follows: from numpy import * import matplotlib.pyplot as plt from pylab import * conf_arr = [[33,2,...

I am attempting to run below code. from sklearn.metrics import plot_confusion_matrix And I am receiving below error. --------------------------------------------------------------------------- Imp...

I 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 am able to classi...

Is there any tool / R package available to calculate accuracy and precision of a confusion matrix? The formula and data structure are here.

I am getting a Classification metrics can't handle a mix of multilabel-indicator and multiclass targets error when I try to use confusion matrix. I am doing my first deep learning project. I am...

I am facing some issue when I try to make confusion matrix of my CNN model.When I run the code , it returns some error like : print(classification_report(np.argmax(y_test,axis=1), y_pred,target_na...

I essentially have a confusion matrix of size n x n with all my diagonal elements being 1. For every row, I wish to calculate its mean, excluding the 1, i.e. excluding the diagonal value. Is ther...

I tried to plot confusion matrix with Jupyter notebook using sklearn.metrics.plot_confusion_matrix package, but the default figure size is a little bit small. I have added plt.figure(figsize=(20, 2...

Does anyone know why these white lines are quartering my confusion matrix? I've changed many of the parameters but cannot figure it out. The only thing that makes them go away is if I don't label t...

I am classifying mnist data using following Keras code. From confusion_matrix command of sklearn.metrics i got confusion matrix and from TruePositive= sum(numpy.diag(cm1)) command i am able to get ...

I am trying to plot a confusion matrix as shown below cm = confusion_matrix(testY.argmax(axis=1), predictions.argmax(axis=1)) disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=lb.c...

I wrote a confusion matrix calculation code in Python: def conf_mat(prob_arr, input_arr): # confusion matrix conf_arr = [[0, 0], [0, 0]] for i in range(len(prob_arr)): if int(input_arr[i]) == ...

How to export result in excel file? I tried below script but its not giving meproper output. In the case where there is no dependent label present in predicted column and the class which is present...

using the function classification_report from scikit-learn you get information about important metrics like Accuracy, Precission, Recall, F1 Score (micro and macro) of a Model. The function r...

Background In a confusion matrix, the diagonal represents the cases that the predicted label matches the correct label. So the diagonal is good, while all other cells are bad. To clarify what is go...

I am working with a multi-class multi-label output from my classifier. The total number of classes is 14 and instances can have multiple classes associated. For example: y_true = np.array([[0,0,1]...

Can anyone explain how to calculate the accuracy, sensitivity and specificity of multi-class dataset?

I calculated a confusion matrix for my classifier using confusion_matrix() from scikit-learn. The diagonal elements of the confusion matrix represent the number of points for which the predicted la...

I have a confusion matrix created with sklearn.metrics.confusion_matrix. Now, I would like to plot it with sklearn.metrics.plot_confusion_matrix, but the first parameter is the trained classifier, ...

when I plot my confusion matrix using this code from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay cm = confusion_matrix(y_test, rmc_pred, labels=rmc.classes_) disp = ConfusionMa...

I have got th following confusion matrix, now I need to calculate the precision, recall and FScore from it, how do I do that using the obtained values? Confusion Matrix and Statistics Reference ...

I am drawing a Confusion Matrix in fastai with following code: interp = ClassificationInterpretation.from_learner(learn) interp.plot_confusion_matrix() But I end up with a super small matrix becau...

I'd like to visualize the data I've put in the confusion matrix. Is there a function I could simply put the confusion matrix and it would visualize it (plot it)? Example what I'd like to do(Matrix...

How can I plot in Python a Confusion Matrix similar do the one shown here for already given values of the Confusion Matrix? In the code they use the method sklearn.metrics.plot_confusion_matr...

I'm trying to use plot_confusion_matrix, from sklearn.metrics import confusion_matrix y_true = [1, 1, 0, 1] y_pred = [1, 1, 0, 0] confusion_matrix(y_true, y_pred) Output: array([[1, 0], [1, ...