All Questions
Tagged with plottingmachine-learning
13 questions
2votes
1answer
349views
What is the meaning of the bubbles / spikes in the shap values plot?
Here are an example of shap values plot from here. How to interpret the 'bubble' or 'spikes' on this shap values plot I highlighted in yellow color?
3votes
3answers
649views
What is this type of plot and how to interpret it?
I was presented to this plot and i've seen it before, however i would like to know what does the countour around the main line mean. Ps: i couldn't find enough information about it to investigate by ...
3votes
1answer
820views
Plotting Gradient Descent in 3d - Contour Plots
I have generated 3 parameters along with the cost function. I have the $\theta$ lists and the cost list of 100 values from the 100 iterations. I would like to plot the last 2 parameters against cost ...
3votes
1answer
50views
Visualizing the difference of a set of strings
I have a distance metric on a collection of strings on the order of tens of thousands. What would be an intuitive way to summarize how 'different' these strings are or when they overlap? My goal is, ...
7votes
1answer
9kviews
How to interpret Shapley value plot for a model?
I was trying to use Shapley value approach for understanding the model predictions. I am trying this on a Xgboost model. My plot ...
0votes
1answer
506views
Why am I getting misaligned values while plotting heatmaps using seaborn?
While plotting heatmaps using seaborn, the numbers are getting printed on the boundary of the heatmap (Please see the image attached). I have already plotted heatmaps many times using the same code. ...
3votes
3answers
188views
How best to show the best model over multiple labels?
I have 4 models I trained and I want to display their prediction success over 45 different labels I tested them on. I get a very messy plot when I naively try to place them one on top of the other. ...
1vote
2answers
412views
How interpret keras training loss without compare with validation loss?
I have several implementation of the same neural network, but each one with different starting parameter. This is one of my plot comparing the training loss of the base experiment with the training ...
1vote
1answer
93views
Multiple regression (using machine learning - how plot data)
I wonder how I can use machine learning to plot multiple linear regression in a figure. I have one independent variable (prices of apartments) and five independent (floor, builtyear, roomnumber, ...
2votes
0answers
128views
How to force histogram plots to have same axes?
I am comparing my trained model with other benchmark models with the error histogram but the axis of histogram is different for each method as shown in figure.For instance to plot the error histogram ...
-1votes
2answers
467views
How to plot High Dimensional supervised K-means on a 2D plot chart
I'm Having a ML problem where my data set contains 80 features labelled into 3 groups (0, 1, -1). I want to plot the data on a 2D surface to see how "close" (similar) data with ...
0votes
2answers
279views
How can I plot data after cluster it into two cluster?
I have some unlabeled data with 15 attributes and 30161 instances. I took 70% data for clustering and cluster those data into 2 cluster. I also added one column after clustering named 'cluster' and ...
2votes
0answers
2kviews
t-SNE plotting DBSCAN clustering results very scattered issue
We are trying a DBSCAN clustering model on our 30,000 samples with 15 features each. We tuned the epsilon parameter small enough to make sure the radius of the clustering circle is small while it does ...