Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with machine-learning
Search options not deleted
user 87037
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
1
vote
1
answer
140
views
Constructing the Confusion matrix from given metrics
I am given the following metrics for a certain classifier :
-Total number of cases in the dataset = 110
-Accuracy: 92.7%
-Precision : 96.9%
-Recall : 95%
Are this information enough to reconstr …
- 241
1
vote
1
answer
462
views
How do you visualize Decision boundaries?
My features for a problem are just a single feature, so X_train has just a single dimension. Now, I have used SVM , naive Bayes, and Logistic Regression. So now How do I draw the decision boundaries o …
- 241
1
vote
2
answers
327
views
Why do we need to have the test set remain consistent across multiple runs?
In the book Hands-on machine learning with scikit-learn and tensorflow: concepts, tools, and techniques to build intelligent systems, more specifically in Chapter 2, the writer is teaching us how to c …
- 241
0
votes
1
answer
366
views
Sklearn vs Pytorch vs Tensorflow vs Keras
I just need to understand the differences between sklearn, pytorch, tensorflow and keras in terms which implements traditional machine learning algorithms ( Linear regression , knn, decision trees, SV …
- 241