Run
278128

Run 278128

Task 4620 (Supervised Classification) kc3 Uploaded 07-03-2015 by Joaquin Vanschoren
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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
0.6031
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8692
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2165
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-93.6998
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1294
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1716
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4580
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
0.8668
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8718
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4551
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8718
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.754
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2917
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3588
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.2303
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1334.4761