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 216293
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
2
votes
1
answer
915
views
Decision Tree - What to avoid first a Skewed dataset or reduce too much the number of bins
So I have a dataset with a categorical column rather skewed. Lets imagine something like this:
Type - AmountObservations
C1 - 10000
C2 - 9500
C3 - 8000
C4 - 2000
C5 - 500
C6 - 500
C7 - 10
C8 - 10
C9 …
- 207
1
vote
0
answers
149
views
Decision Tree - What is more efficient a few nodes with hundreds of branches or hundreds of ...
To make it simple, let's imagine a single category which can have 500 different values. For example city: nameCity1, nameCity2, ..., nameCity500.
What is more efficient, to have one single decision t …
- 207
1
vote
2
answers
942
views
Can we improve a model by dropping unimportant features
I have a Random Forest Model which, after using StringIndexer and HotEncoder, has got around 1300 features.
I calculated the importance of all these features and I found out that more than 500 featur …
- 207
1
vote
1
answer
2k
views
Can a Decision Tree handle a column which is an array or strings?
I have this dataset where one of the columns (features) is an array of delays codes. Sometimes the array has got 1 single code and sometimes up to 5 codes. The codes can appear just once in the array …
- 207
1
vote
1
answer
1k
views
Random Forest - Is it a good approach to bin categories to reduce the size of the model?
I have a dataset with several categorical columns which I was planning to flatten into binary categories.
Let's say I have three features in my dataset.
Feature1: has got 300 different values (num …
- 207
4
votes
How to build a confusion matrix for a multiclass classifier?
Using the matrix attached in the question and considering the values in the vertical axis as the actual class, and the values in the horizontal axis the prediction. Then for the Class 1:
True Positiv …
- 207