Questions tagged [interpretation]
The interpretation tag has no usage guidance.
30
questions
0
votes
0answers
10 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 ...
-2
votes
0answers
53 views
Interpretation and experimental setup of medical trials
Surprisingly, there was preliminary evidence in a randomized clinical trial that treating patients with fluvoxamine reduced the incidence of serious adverse events: in this paper Fluvoxamine vs ...
1
vote
0answers
22 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 ...
0
votes
1answer
41 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 ...
0
votes
0answers
21 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
votes
1answer
17 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., ...
0
votes
1answer
20 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
votes
0answers
5 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 ...
4
votes
1answer
99 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 ...
1
vote
1answer
32 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 ...
-1
votes
1answer
42 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=...
0
votes
1answer
36 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
votes
0answers
13 views
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 ...
0
votes
1answer
20 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
votes
2answers
150 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 ...
1
vote
3answers
95 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 ...
1
vote
1answer
34 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 ...
0
votes
0answers
28 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
votes
1answer
100 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 ...
1
vote
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
votes
0answers
92 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 ...
1
vote
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.
1
vote
0answers
30 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-...
0
votes
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 ...
12
votes
5answers
1k 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 ...
1
vote
1answer
25 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
votes
2answers
144 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
552 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
votes
2answers
95 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 (...
1
vote
2answers
207 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 ...
