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 using R v3.3.2 and Caret 6.0.71 (i.e. latest versions) to construct a logistic regression classifier. I am using …
r r-caret confusion-matrixThis code : from pandas_ml import ConfusionMatrix y_actu = [1,2] y_pred = [1,2] cm = ConfusionMatrix(y_actu, y_pred) cm.print_stats() …
python pandas confusion-matrixI have a following code resulting in a table-like output lvs <- c("normal", "abnormal") truth <- factor(…
r csv export-to-csv confusion-matrixI am plotting a confusion matrix with matplotlib with the following code: from numpy import * import matplotlib.pyplot as plt …
python matplotlib confusion-matrix