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Isolation forest parameters
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsKappa From Combined Confusion MatricesComparing Non-deterministic Binary ClassifiersConsistently inconsistent cross-validation results that are wildly different from original model accuracyHow to use the output of GridSearch?GridSearch mean_test_score vs mean_train_scoreHow would I apply anomaly detection to time series data in LSTM?sklearn.GridSearchCV predict method not providing the best estimate and accuracy scoreUnderstanding why my binary classification is approaching 50% accuracy using TensorFlow and KerasSVM model classifying into one class only, after standardizationCalibrate the predicted class probability to make it represent a true probability?
$begingroup$
I am implementing Isolation Forest from scratch, I am in dilemma of how to set contamination value, and what if not used im the code. Is accuracy differ? What other parameters required to run correctly.
I am using only 5 fold cross validation, then drawing forest, then computing tye amomaly scores and if <=0.5 then Normal otherwise Anomaly. Is it correct?
machine-learning data-mining data
asked 5 mins ago
ShivanyaShivanya
165
$endgroup$
add a comment |
$begingroup$
I am implementing Isolation Forest from scratch, I am in dilemma of how to set contamination value, and what if not used im the code. Is accuracy differ? What other parameters required to run correctly.
I am using only 5 fold cross validation, then drawing forest, then computing tye amomaly scores and if <=0.5 then Normal otherwise Anomaly. Is it correct?
machine-learning data-mining data
asked 5 mins ago
ShivanyaShivanya
165
$endgroup$
add a comment |
$begingroup$
I am implementing Isolation Forest from scratch, I am in dilemma of how to set contamination value, and what if not used im the code. Is accuracy differ? What other parameters required to run correctly.
I am using only 5 fold cross validation, then drawing forest, then computing tye amomaly scores and if <=0.5 then Normal otherwise Anomaly. Is it correct?
machine-learning data-mining data
asked 5 mins ago
ShivanyaShivanya
165
$endgroup$
I am implementing Isolation Forest from scratch, I am in dilemma of how to set contamination value, and what if not used im the code. Is accuracy differ? What other parameters required to run correctly.
I am using only 5 fold cross validation, then drawing forest, then computing tye amomaly scores and if <=0.5 then Normal otherwise Anomaly. Is it correct?
machine-learning data-mining data
machine-learning data-mining data
asked 5 mins ago
ShivanyaShivanya
165
asked 5 mins ago
ShivanyaShivanya
165
asked 5 mins ago
ShivanyaShivanya
165
asked 5 mins ago
ShivanyaShivanya
165
asked 5 mins ago
ShivanyaShivanya
165
165
add a comment |
add a comment |
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