Run
278058

Run 278058

Task 3609 (Supervised Classification) fri_c1_1000_5 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
0.7994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8002
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5977
Cross-validation details (10-fold Crossvalidation)
KB relative information score
595.6943
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4963
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8005
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9947
Cross-validation details (10-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.403
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4981
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4472
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8978
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.988
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)