Run
236330

Run 236330

Task 3686 (Supervised Classification) house_16H Uploaded 02-03-2015 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
0.7731
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8103
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5452
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11611.7645
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1899
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4168
Cross-validation details (10-fold Crossvalidation)
Number of instances
22784
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8105
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8101
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8764
Cross-validation details (10-fold Crossvalidation)
Recall
0.8101
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4557
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4565
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4358
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9547
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1332.6319
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10-fold Crossvalidation)