What does this line of code do?
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Asim Shahzad
am 29 Mai 2021
Kommentiert: Cris LaPierre
am 29 Mai 2021
I've been given a classifier performance evaluation code I'm trying to understand and run. The first line of code gives an error on my data.
ACTUAL = 9957x1 Categorical (My class labels)
When the code reaches the first line
idx = (ACTUAL()==1);
it says Invalid types for comparison. What exactly is this line of code trying to do? Understanding this will help me fix it.
Here's the function code:
function EVAL = Evaluate(ACTUAL,PREDICTED)
% This fucntion evaluates the performance of a classification model by
% calculating the common performance measures: Accuracy, Sensitivity,
% Specificity, Precision, Recall, F-Measure, G-mean.
% Input: ACTUAL = Column matrix with actual class labels of the training
% examples
% PREDICTED = Column matrix with predicted class labels by the
% classification model
% Output: EVAL = Row matrix with all the performance measures
idx = (ACTUAL()==1);
p = length(ACTUAL(idx));
n = length(ACTUAL(~idx));
N = p+n;
tp = sum(ACTUAL(idx)==PREDICTED(idx));
tn = sum(ACTUAL(~idx)==PREDICTED(~idx));
fp = n-tn;
fn = p-tp;
tp_rate = tp/p;
tn_rate = tn/n;
accuracy = (tp+tn)/N;
sensitivity = tp_rate;
specificity = tn_rate;
precision = tp/(tp+fp);
recall = sensitivity;
f_measure = 2*((precision*recall)/(precision + recall));
gmean = sqrt(tp_rate*tn_rate);
EVAL = [accuracy sensitivity specificity precision recall f_measure gmean];
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Cris LaPierre
am 29 Mai 2021
You have a data type mismatch. You are passing in a variable (Actual) that is categorical, while the function you are using expects it to be either numeric or logical.
A=1:5
idx1 = (A==1)
% Now as categorical
B=categorical(1:5)
idx2 = B==1
2 Kommentare
Cris LaPierre
am 29 Mai 2021
I haven't tested your function, but the line of code giving the error will only work for numeric and logical data.
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