Run
220755

Run 220755

Task 3699 (Supervised Classification) fri_c4_250_100 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
0.589
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5929
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1769
Cross-validation details (10-fold Crossvalidation)
KB relative information score
41.7242
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.408
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
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
0.5946
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.592
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9898
Cross-validation details (10-fold Crossvalidation)
Recall
0.592
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8278
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6387
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2868
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
912.7324
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)