Data Science Stack Exchange
Data Science Stack Exchange

Questions tagged [interpretation]

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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 degree to which a human can understand the cause…
Funkwecker
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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 prediction of the model. One approach may be to use…
David Masip
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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 look also at the loss, and honestly I haven' t…
J.D.
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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 (count variable). I have tried a lot but I am not…
Hasan Sohail
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Analyzing if my email notifications increase or decrease total subscriptions

I am hoping to reach someone who knows how to interpret data, if not, someone with better logic than me would still help :) I had around 9000 users paying for monthly subscriptions for a service on site in last 3 years. 1554 active (with status…
adrianTNT
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Why do Shapley value solutions remain consistent when the value function of the empty set changes in the ML context?

Hey there data science stack exchange - question about SHAP. In the original Shapley value formulation from Lloyd, one assumption is that the value function of the empty set equals zero, $v(\emptyset) = 0$. In other words, if no players are playing…
shay
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Is there an alternative to Shapley values for tree-based models where the sum of feature contributions is equal to the prediction?

I'm currently working on a project where the ultimate goal is to reduce the quantity of a bad thing, b. I've been tasked with assigning the blame between several different features that are believed to increase b. Then, we can appropriately…
Tom Adams
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Interpreting ROC curves across k-fold cross-validation

I have used a MARS model (multivariate adaptive regression splines) and I have used k fold cross validation for the evaluation of the model, obtaining the following graph: How would be the interpretation of this model? I understand that in the 6…
PicaR
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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.
Aaron
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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., is anything unclear?). My main concern is…
n.baes
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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 not. How, if at all, does feature…
codeananda
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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 interval for the slope should be So the…
Jayden Rice
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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 autoencoders for image similarity. The model accepts…
Ali Raza Memon
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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 below, The Somers' D is 94.7%. My question is, why…
CoolJohnTo
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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 variables which are as below: I used linear…
Selvam
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