Run
280887

Run 280887

Task 3891 (Supervised Classification) gina_agnostic Uploaded 08-03-2015 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
0.8275
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8276
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.655
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2271.517
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1724
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999
Cross-validation details (10-fold Crossvalidation)
Number of instances
3468
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8276
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8276
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8276
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.345
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4153
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8306
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1349.9917
UserCPU time millis
150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
140
Cross-validation details (10-fold Crossvalidation)