Questions tagged [interpretation]
The interpretation tag has no usage guidance.
12
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1answer
22 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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23 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 ...
0
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1answer
89 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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18 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
84 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
33 views
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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19 views
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 ...
3
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1answer
99 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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18 views
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 ...
4
votes
1answer
164 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
187 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 ...
