Run
220678

Run 220678

Task 2272 (Supervised Classification) meta_all.arff Uploaded 01-03-2015 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
0.5901
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5096
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2025
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18.1725
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1643
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2065
Cross-validation details (10-fold Crossvalidation)
Number of instances
71
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
0.5293
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9094
Cross-validation details (10-fold Crossvalidation)
Recall
0.507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7957
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.317
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4054
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2788
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
912.7324
UserCPU time millis training