Hi all,
Residual plot has been added for numerical prediction algorithms. Using
standard chart types as much as possible is better IMO. It will reduce user
confusion in understanding visualizations. I think we need to look for some
standard chart types for classification algorithms (both binary
Nice.
Adding up to charts for classification, I think we need some visualization
method for clustering as well since there's nothing to show after
clustering models are trained. Maybe chart with respect to two selected
attributes.
On Thu, May 28, 2015 at 11:46 AM, CD Athuraliya
Hi Maheshakya,
We'll be adding cluster diagram in model summary for clustering algorithms.
Please suggest if there exist any other useful evaluation metrics.
Thanks
On Thu, May 28, 2015 at 11:58 AM, Maheshakya Wijewardena
mahesha...@wso2.com wrote:
Nice.
Adding up to charts for
Hi CD,
Two of the widely used evaluation metrics are Rand index[1] and mutual
information[2]. In addition, there is Homogeneity, Completeness and
V-measure [3]. One issue with these external indices is that they require
ground truth of cluster assignments. Therefore without the true class
labels,
Hi Maheshakya,
Thanks for very detailed response. We'll be reusing the cluster diagram we
use in data exploration view to visualize clusters. What we're mostly
missing is some measures about training and resulting model. I will check
the measures you have mentioned. :)
Regards,
CD
On Thu, May
Great work CD!
On Thu, May 28, 2015 at 11:46 AM, CD Athuraliya chathur...@wso2.com wrote:
Hi all,
Residual plot has been added for numerical prediction algorithms. Using
standard chart types as much as possible is better IMO. It will reduce user
confusion in understanding visualizations. I
+1 shall we try those?
On 26 May 2015 22:52, Upul Bandara u...@wso2.com wrote:
+1 for residual plots.
Though I haven't used it myself Residual Plot is a useful diagnostic tool
for regression models.
Especially, non-linearity in regression models can be easily identified
using it.
An
Hi,
Plotting predicted and actual values against a feature doesn't look very
intuitive, specially for non-probabilistic models. Please check the
attachments. Any thoughts on making this visualization better?
Thanks
On Fri, May 22, 2015 at 3:27 PM, Srinath Perera srin...@wso2.com wrote:
yes,
Hi CD,
As it pops up in the offline discussion as well, IMHO, for classifications,
this plot may not be the best option. But for regression, we can actually
use this plot but with a slight modification, that is taking the difference
of the predicted and actual (rather than the values it self),
+1 for residual plots.
Though I haven't used it myself Residual Plot is a useful diagnostic tool
for regression models.
Especially, non-linearity in regression models can be easily identified
using it.
An Introduction to Statistical Learning book [1] ( page 92-96) contains
some useful
Hi CD,
Can we take a random sample from the test data and use that for this
process?
--Srianth
On Fri, May 22, 2015 at 12:00 PM, CD Athuraliya chathur...@wso2.com wrote:
Hi all,
To implement $subject in ML we need all feature values of the dataset
against predicted and actual values for
Can we take a random sample from the test data and use that for this
process?
--Srianth
+1
AFAIK, we are doing a similar thing to the ROC curve points too..
Regards,
Supun
On Fri, May 22, 2015 at 2:28 PM, CD Athuraliya chathur...@wso2.com wrote:
Hi Srinath,
Still that random sample
Hi all,
To implement $subject in ML we need all feature values of the dataset
against predicted and actual values for test data. But Spark only returns
predicted and actual values as test results. Right now we use random 10,000
data rows for other visualizations and we cannot use same data for
Hi Srinath,
Still that random sample will not correspond to predicted vs. actual values
in test results. Given that there is no mapping between random sample data
points and test result points. One thing we can do is running test
separately (using the same model) for sampled data for the sole
Hi,
I'm not sure the kind of data set you are looking for. But we have a real
use case of predicting and also the actual data relevant to predicted time,
in Stratos. Load average, memory consumption, and requests in flight are
predicted currently in Stratos, and we use CEP to receive those data.
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