Run
280846

Run 280846

Task 1937 (Supervised Classification) ionosphere Uploaded 08-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ExtraTree(1)Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.
weka.ExtraTree(1)_K-1
weka.ExtraTree(1)_N-1
weka.ExtraTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8537
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8718
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7193
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2505.1749
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1271
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3510
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.872
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8729
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8729
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.276
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3565
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7431
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
833.3193
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)