All Questions
11 questions
0votes
1answer
75views
detecting abnormality in a specific feature with respect to others (unsupervised?)
I have a large dataset with a feature y which is dependent in part on features x1 and x2. All features are noisy, and y is also dependent on other parameters not captured in the dataset. I would like ...
CommunityBot
- 1
3votes
1answer
37views
Confirm understanding of decision_function in Isolation Forest sklearn
I am looking to better understand sklearn IsolationForest decision_function. My understanding is that if the metric is closer to -1 then the model is more confident ...
- 8,452
2votes
2answers
1kviews
How can I find anomalies in each row of data?
I have some reported data I want to spot anomalies on. The columns are a facility name then monthly reports of that given facility. ...
CommunityBot
- 1
0votes
0answers
111views
Understanding Isolation Forest predictions
I'm running sklearn's IsolationForest on a dataset containing 2 classes of data, one that I know is the anomaly (~1.5% of the entire dataset), the other is the normal dataset. I'm using this (shuffled)...
- 131
5votes
1answer
3kviews
Isolation Forest Feature Importance
As of scikit-learn version 0.19.1, there is no implementation for calculating feature importance in an Isolation Forest. I'm also having trouble finding any online resources proposing ways to get at ...
- 4,143
10votes
3answers
15kviews
Isolation forest sklearn contamination param
I am working on an unsupervised anomaly detection task on time series data using an isolation forest algorithm. I am developing it in Python, more in detail using ...
- 7,856
2votes
3answers
406views
K-Means anomaly detection not clustering anomalies
K-means anomaly detection scatter plot The following code, takes a single column from a dataset and then adds 50 anomalies to the dataset that is quite bigger than the maximum values of the dataset. ...
- 221
2votes
1answer
416views
Adding anomalies to the Dataset
Recently I have been trying different Scikit-Learn anomaly detection clustering methods, like DBSCAN Isolation Forest. Based on how many training data I use, how I tweak on the algorithms ...
- 163
2votes
1answer
80views
Functions in scikit that detect outliers automatically?
I know a way to visualize outliers is to make a box plot, but wanted to know if scikit had any quick ways to detect outliers for each variable?
CommunityBot
- 1
1vote
2answers
10kviews
How can I replace outliers with maximum non-outlier value?
I am doing univariate outlier detection in python. When I detect outliers for a variable, I know that the value should be whatever the highest non-outlier value is (i.e., the max if there were no ...
4votes
1answer
6kviews
Multivariate outlier detection with isolation forest..How to detect most effective features?
I am trying to detect outliers in my data-set with 5000 observations and 800 features. I have followed the simple steps told in http://scikit-learn.org/stable/auto_examples/ensemble/...
CommunityBot
- 1
