Questions tagged [interpretation]
The interpretation tag has no usage guidance.
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Practical Interpretation of PCAs for a supplier analysis
I am using PCA to validate and research a set of 13 suppliers of products against a set of about 50 variables and performance indicators against an ideal "wish"-Supplier, mostly based on G. ...
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1answer
19 views
Answering the question of "WHY" using AI?
We have seen lots of natural occurrences that are happening in the whole world. Since we have great progress in technology and in particular AI, How can I employ <...
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26 views
Shapley values for channel attribution equal to linear attribution
I am looking into Shapley values for online marketing attribution. In recent time many articles seem to have been made on this particular approach to attribution (there are more):
https://medium.com/...
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43 views
How to use grad cam for ECG data?
I am building a classification model of heart disease from 12-lead ECG data.
I would like to implement Grad-CAM (Paper) to visualize the results.
Any way to implement Grad-CAM on time series data?
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0answers
30 views
Understanding, visualizing and interpreting CNN activations
I am working with the first layer of a CNN and trying to understand how to interpret the activation output. My CNN takes input from 3 channels (RBG picture) and the first layer is ...
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0answers
49 views
LightGBM get model decision(rules)
I need to interpret the model decision for binary classification. Here is my model:
...
0
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1answer
117 views
Can absolute or relative contributions from X be calculated for a multiplicative model? $\log{ y}$ ~ $\log {x_1} + \log{x_2}$
(How) can absolute or relative contributions be calculated for a multiplicative (log-log) model?
Relative contributions from a linear (additive) model
E.g., there are 3 contributors to $y$ (given by ...
2
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0answers
60 views
What are available Python libraries for Interpretable ML?
I recently become familiar with Interpretable ML and I found some libraries like LIME. I would be thankful if you can suggest to me some libraries and what are the advantages of each library.
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22 views
Can I get a global attribution when using Shapley values?
I'm using a shap KernelExplainer to interprete my model and I'd like to display a global attribution for each feature. The idea is to represent, in a numerical way, the plot.
What would be the best ...
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20 views
How to interpret feature weight coefficients in logistic regression for text classification?
I am working on a simple text classification problem where I have as inputs tweets and as class whether that tweet contains fake news or not (0 is real news, 1 is fake news). I have trained a logistic ...
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0answers
26 views
paired t-test shows no difference between median and Wilcoxon test p value shows that there is a difference between median values ? How to interpret?
I have a dataset. I wanted to do paired t test on it. So I carried out normality test and it showed that it does not follow normal distribution. So I used Wilcoxon test in place of paired t test. The ...
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1answer
239 views
How to interpret my logistic regression result with statsmodels
so I'am doing a logistic regression with statsmodels and sklearn.
My result confuses me a bit. I used a ...
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0answers
23 views
About the relevance and interprertability of convolutional filters?
Convolution filters are known to perform very well in tasks, concerning some work with the image or video data, due to their ability to preserve some spatial information and equivariance property ...
2
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1answer
22 views
Suggestions for improvement? Time series of variation in relative frequency of emotion-related words in academic psychology over time
First time plotting and interpreting time series data and I have used a line plot for ease of use. I am aware this is incredibly basic, but any input/ recommendations would be much appreciated (e.g., ...
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1answer
23 views
How to increase sales and revenue of a Client?
I was asked this in an interview for a Data Scientist position:
Lets say Holland and Barret came to you and said they'd like to increase their sales and revenue. How will you go about it?
My answer ...
0
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0answers
6 views
Can the Entropy Given On a Decision Tree Be Explained As the Probability Of A Binary Dependent Variable
I'm not certain how to interpret the entropy output--though I have used the Gini criterion before and interpreted it as the probability of reaching 100% on any given leaf the tree splits on.Though ...
5
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1answer
136 views
Shapley values without intercept (or without `expected_value`)
I have a model and I want to derive its interpretability by using feature contributions. In the end, I want to have some contribution per feature such that the sum of contributions equals the ...
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1answer
83 views
Is there an intuitive interpretation of precision always higher than recall?
I have a multiclass-classifier whose macro-precision is always greater than macro-recall. I suppose it means false negatives outnumber false positives in general. Is there an intuitive interpretation ...
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1answer
43 views
Machine learning, speech recognition technologies for Sound of Animals interpretation [closed]
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
115 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 ...
0
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1answer
24 views
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
696 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
114 views
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
37 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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0answers
29 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
122 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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0answers
37 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 ...
2
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0answers
111 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
38 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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0answers
40 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
26 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 ...
15
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5answers
3k 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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1answer
43 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 ...
2
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2answers
225 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 ...
5
votes
1answer
981 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 ...
5
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2answers
104 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
228 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 ...
