Questions tagged [interpretation]
The interpretation tag has no usage guidance.
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Machine learning, speech recognition technologies for Sound of Animals interpretation
https://www.google.com/search?q=sound+of+animals&client=ms-android-lava&prmd=inv&sxsrf=ALeKk02xrn0-yn-FZSkidTogB4l4B_TH6A:1600539091086&source=lnms&tbm=isch&sa=X&ved=...
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1answer
18 views
How to interpret KDE distribution graph?
I would like to know how to interpret this distribution graph. I have been doing an exercise from the book called 'Python for Finance Cookbook' by Eryk Lewinson. It does not give an in-depth ...
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Regressive CNN visualization
I am interested in creating heat maps for my CNN which regresses images to a real value. However, most of the methods I have seen (eg, grad-CAM) were developed for classification.
Is there a way to ...
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1answer
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Types of maps in Interpretable Machine Learning
I have worked on Interpretable Machine Learning (IML) for over 1 year. However, there are some terminologies that always make me confused.
For example, saliency maps/heat maps. Are they same?
Are ...
2
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2answers
73 views
How do standardization and normalization impact the coefficients of linear models?
One benefit of creating a linear model is that you can look at the coefficients the model learns and interpret them. For example, you can see which features have the most predictive power and which do ...
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3answers
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How do I interpret the output of linear regression model in R?
I have the following linear regression model and its analysis. There are a few errors, but I am not very sure about the errors. I have not succeeded in finding them so far.
First, the 95% confidence ...
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1answer
27 views
Identify significant features in clustering results
I'm a student in Data Analysis, working on a data clustering exercise.
Two clusters have been identified based on a dataset with 40 features. To interpret and label these clusters, I'm wondering if ...
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27 views
What methods to get the intention behind questions (time, preferences, …)?
I have a csv with different questions, answer and question types. So far I have only been able to differentiate the questions between muliple answers and likert scale. I would rather like to get the ...
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1answer
96 views
Does Karl Pearson correlation indicate linear relationship between two variables ? Or it indicates nonlinear relationship or simply the correlation?
Wikipedia and literature do not seem to convey correct interpretation of Karl Pearson correlation. A few authors interpret it as a linear correlation or association. To me it simply tells direction ...
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20 views
Can we use Shap to interpret output changes?
Can we calculate the difference between Shapley values to interpret changes in the output? More precisely, if we get Shapley values for two different inputs, can we compare them to understand how much ...
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0answers
85 views
Understanding CNN by visualizing class activations using GRAD_CAM
I followed the blog Where CNN is looking? to understand and visualize the class activations in order to predict something. The given example works very well.
I have developed a custom model using ...
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0answers
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Professionals appear to interpret sample correlation (e.g. Karl Pearson) as if it represents linear correlation. Is it the correct interpretation? [closed]
I am stressed following the wrong interpretation. What is the correct way of understanding a correlation coefficient.
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Difference between shap values and feature contributions
I always found both concepts a bit confusing since they are quite similar. Would someone provide clear example where to apply each?
Shap values ref: https://towardsdatascience.com/explain-your-model-...
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1answer
18 views
Feature-to-parameter mapping in neural networks
For neural networks, can we tell which parameters are responsible for which features?
For example, in an image classification task, each pixel of an image is a feature.
Can I somehow find out which ...
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5answers
419 views
What is the difference between explainable and interpretable machine learning?
O’Rourke says that explainable ML uses a black box model and explains it afterwards, whereas interpretable ML uses models that are no black boxes.
Christoph Molnar says interpretable ML refers to the ...
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Drastic drop in Somers' D ? Why?
I came across to find the correlation between the ratings assigned by two coaches to a same group of 40 players.
I have tabulated the results as below:
The Somers' D is 50%.
However, for the case ...
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2answers
127 views
How to interpret Correlation along with Coefficients of multiple linear regression ?£
I have 10000 samples. There are 4 independent variables and 1 dependent variable.
The independent variables are all centered with 0 mean.
I found the correlation coefficients between each of these ...
4
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1answer
246 views
How do I interpret loss in a neural network?
I am studying how to evaluate the performances of a convolutional neural network, and in particular I have seen that we have to look both at accuracy and loss. I don't understand why do we have to ...
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2answers
89 views
How to interpret two continous variables output using GAM?
I really need help with GAM. I have to find out whether association is linear or non-linear by using GAM. The predictor variable is temperature at lag0 and the output is cardiovascular admissions (...
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2answers
192 views
More output neurons than labels?
When we train a neural network model for a classification problem, we usually have a dense output layer of size equal to the number of labels we have.
If the layer size was greater, the model can ...
