How to compare two sets of class frequency data? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsHow to learn a classifier from a dataset with high imbalanceNLTK: Tuning LinearSVC classifier accuracy? - Looking for better approaches/advicesHow to add a new label to a multi-label dataset (like Open Images)Reason for having both low loss and same predicted class?How to Classify an Image in a Class and a Subclass?How to find the most important attribute for each classDeep Learning Network decreasing in accuracyAbout applying time series forecasting to problems better suited for reinforcement learning, like toy example “Jack's car rental”Extracting metrics from multiple classes of clustered objectsHow important is the input data for a ML model?
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How to compare two sets of class frequency data?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow to learn a classifier from a dataset with high imbalanceNLTK: Tuning LinearSVC classifier accuracy? - Looking for better approaches/advicesHow to add a new label to a multi-label dataset (like Open Images)Reason for having both low loss and same predicted class?How to Classify an Image in a Class and a Subclass?How to find the most important attribute for each classDeep Learning Network decreasing in accuracyAbout applying time series forecasting to problems better suited for reinforcement learning, like toy example “Jack's car rental”Extracting metrics from multiple classes of clustered objectsHow important is the input data for a ML model?
$begingroup$
I am working with a machine learning approach that counts 2 classes of objects in images: people and cars. I have a predicted dataset, which is the predicted output from the machine learning approach and a "true" dataset which is the result of a human going through each image and counting people and cars. The following is a sample of what the datasets look like:
Image 1
Class Predicted TRUE
People 6 6
Cars 2 1
Image 2
Class Predicted TRUE
People 0 0
Cars 0 0
... and so on ...
Image 5000
Class Predicted TRUE
People 2 4
Cars 1 1
I am assuming that I cannot use a confusion matrix to assess the accuracy because I am dealing with class frequency data for each image. What approach can I take to assess the accuracy of the predicted vs true datasets?
machine-learning accuracy
asked 1 hour ago
BorealisBorealis
172212
$endgroup$
add a comment |
$begingroup$
I am working with a machine learning approach that counts 2 classes of objects in images: people and cars. I have a predicted dataset, which is the predicted output from the machine learning approach and a "true" dataset which is the result of a human going through each image and counting people and cars. The following is a sample of what the datasets look like:
Image 1
Class Predicted TRUE
People 6 6
Cars 2 1
Image 2
Class Predicted TRUE
People 0 0
Cars 0 0
... and so on ...
Image 5000
Class Predicted TRUE
People 2 4
Cars 1 1
I am assuming that I cannot use a confusion matrix to assess the accuracy because I am dealing with class frequency data for each image. What approach can I take to assess the accuracy of the predicted vs true datasets?
machine-learning accuracy
asked 1 hour ago
BorealisBorealis
172212
$endgroup$
add a comment |
$begingroup$
I am working with a machine learning approach that counts 2 classes of objects in images: people and cars. I have a predicted dataset, which is the predicted output from the machine learning approach and a "true" dataset which is the result of a human going through each image and counting people and cars. The following is a sample of what the datasets look like:
Image 1
Class Predicted TRUE
People 6 6
Cars 2 1
Image 2
Class Predicted TRUE
People 0 0
Cars 0 0
... and so on ...
Image 5000
Class Predicted TRUE
People 2 4
Cars 1 1
I am assuming that I cannot use a confusion matrix to assess the accuracy because I am dealing with class frequency data for each image. What approach can I take to assess the accuracy of the predicted vs true datasets?
machine-learning accuracy
asked 1 hour ago
BorealisBorealis
172212
$endgroup$
I am working with a machine learning approach that counts 2 classes of objects in images: people and cars. I have a predicted dataset, which is the predicted output from the machine learning approach and a "true" dataset which is the result of a human going through each image and counting people and cars. The following is a sample of what the datasets look like:
Image 1
Class Predicted TRUE
People 6 6
Cars 2 1
Image 2
Class Predicted TRUE
People 0 0
Cars 0 0
... and so on ...
Image 5000
Class Predicted TRUE
People 2 4
Cars 1 1
I am assuming that I cannot use a confusion matrix to assess the accuracy because I am dealing with class frequency data for each image. What approach can I take to assess the accuracy of the predicted vs true datasets?
machine-learning accuracy
machine-learning accuracy
asked 1 hour ago
BorealisBorealis
172212
asked 1 hour ago
BorealisBorealis
172212
asked 1 hour ago
BorealisBorealis
172212
asked 1 hour ago
BorealisBorealis
172212
asked 1 hour ago
BorealisBorealis
172212
172212
add a comment |
add a comment |
1 Answer
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$begingroup$
You can use a simple error measure of $sum (real-predicted)$, the kind of problem you are dealing with has this objective function as the solved one.
Actually, the algorithms implement this measure as their objective function.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
18311
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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1 Answer
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$begingroup$
You can use a simple error measure of $sum (real-predicted)$, the kind of problem you are dealing with has this objective function as the solved one.
Actually, the algorithms implement this measure as their objective function.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
18311
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
You can use a simple error measure of $sum (real-predicted)$, the kind of problem you are dealing with has this objective function as the solved one.
Actually, the algorithms implement this measure as their objective function.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
18311
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
You can use a simple error measure of $sum (real-predicted)$, the kind of problem you are dealing with has this objective function as the solved one.
Actually, the algorithms implement this measure as their objective function.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
18311
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
You can use a simple error measure of $sum (real-predicted)$, the kind of problem you are dealing with has this objective function as the solved one.
Actually, the algorithms implement this measure as their objective function.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
18311
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
18311
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
18311
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
18311
18311
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
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