A confusion matrix is a contingency table of correct and incorrect classifications used to evaluate the performance of a classification algorithm in machine learning.
Questions tagged [confusion-matrix]
1111 questions
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Which one is which ? (True Positive, True Negative, False Positive, False Negative)
I am running confusion matrix on my own custom model using Tensorflow Object Detection API. I am using Faster R-CNN Inception v2 pets. I get this output:
Processed 100 images
Processed 200 images
Processed 300 images
Processed 400 images
Processed…
darkKnight
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Python confusion matrix
I have a problem with the evaluation of clusters result.
I have 3 lists:
# 10 objects in my corpus
TOT = [1,2,3,4,5,6,7,8,9,10]
# .... clustering into k=5 clusters
# For each automatic cluster:
# Objects with ID 2 and 8 are stored into this
…
MARCO LAGALLA
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Finding the cutoff value using confusion matrix?
n<-1
a<-as.vector(length(s))
for (i in s ) {
print(i)
test$result<-ifelse(test$pred>i,1,0)
a[n]<-confusionMatrix(test$result,test$churn,positive = "1")$overall[2]
print(n)
n=n+1
}
max(a)
How do iget the threshold value between the…
Aditya
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1 answer
How to get confusion matrix of Tensorflow hub model
I have trained a model based on transfer learning via Tensorflow Hub. I have been looking at many places for hints on producing Confusion matrix but I haven't been able to get to the right solution.
Does anyone know if this is possible?
The last…
colourtheweb
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1 answer
Confusion matrix for numerical output? - Python
I want to evaluate the performance of my model, but the problem I have is I have always used a confusion matrix because I have always done models with categorical output (classification). Now, I have this model with numerical output and I find…
Chris
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1 answer
Calculate confusion matrix
I generated random data points from three bivariate Gaussian densities as follows.
set1 <- rmvnorm(n = 100, mean = c(0, 1.5), sigma = matrix(c(1,.2,.2,3.2),nrow=2))
I generated three set of random data points and I need to calculate the confusion…
user7071925
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votes
1 answer
Plot value in unequal list/array shape using Imshow and cmap
I want to plot my values to be something like this:
I have 4x12 values in a list.
values = [[2.78, 2.78, 2.78, 2.79, 2.79, 2.79, 2.8, 2.8, 2.81, 2.82, 2.82, 2.77],
[2.98, 2.98, 2.98, 2.99, 2.99, 2.99, 3.0, 3.0, 3.01, 3.02, 3.03, 2.98],
…
Gerry Julian
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Evaluating NaiveBayes classifier by constructing confusion matrix
I am trying to build a confusion matrix for blood Pressure patient where in actual number of patients predicted Blood pressure=0.18 and Not .82
Now the Naive Bayes classifier has Predicted no of patients having Blood pressure=0.410 and not 0.0913.I…
Deepti D
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Confusion_matrix according two indicators
y_true means correct target values;
Y_pred represents the probability value returned by the classifier to estimate the target
Please calculate the confusion matrix according to these two indicators.
y_true = [True,False,False,True]
y_pred =…
hangkai wang
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votes
1 answer
Confusion Matrix ValueError: Found input variables with inconsistent numbers of samples: [3, 360]
I'm trying to train a data set and output a confusion matrix after the dataset has been trained.
Here is the code
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Flatten,…
shiv shah
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votes
2 answers
2x2 confusion matrix in three-class classification?
I am doing classification on a dataset with three classes (Labels Low, Medium, High).
I run the following code to get my confusion matrix:
from sklearn.metrics import confusion_matrix
cm = confusion_matrix(y_test, y_pred)
And I get the following…
Sachin Yadav
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find the misclassified data in a confusion matrix
I use this function to evaluate my model
def stratified_cv(X, y, clf_class, shuffle=True, n_folds=10, **kwargs):
X = X.as_matrix().astype(np.float)
y = y.as_matrix().astype(np.int)
y_pred = y.copy()
stratified_k_fold =…
Ibrahima Khalil
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How to create a confusion matrix without any packages
How do I create a confusion matrix without any packages? I want to be able to see the logic of creating one. This can be any language or pseudo-code.
Thomas Cho
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1 answer
What does the confusion_matrix line of code do?
from sklearn.pipeline import Pipeline
model = Pipeline([('vectorizer',tvec),('classifier',clf2)])
model.fit(IV_train, DV_train)
from sklearn.metrics import confusion_matrix
predictions = model.predict(IV_test)
confusion_matrix(predictions,…
John
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votes
1 answer
Is this confusion matrix correct?
I'm trying to classify animal sounds. I'm using CNN for this purpose. I'm comparing the classes with each other, hence, some training will be done with 2 classes. Once I get the confusion matrix with these training, I encounter something like…
akoluacik
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