Run
499082

Run 499082

Task 1730 (Learning Curve) credit-g Uploaded 06-12-2015 by Joaquin Vanschoren
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Flow

weka.RandomTree(11)Weka implementation of RandomTree
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V1.0E-4
weka.RandomTree(11)_S1
weka.RandomTree(11)_num-decimal-places4

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
0.5995 ± 0.0687
Per class
F measure
0.6697 ± 0.0648
Per class
Kappa
0.2085 ± 0.1476
KB relative information score
135.5197 ± 16.3759
Mean absolute error
0.339 ± 0.063
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.6677 ± 0.0628
Per class
Predictive accuracy
0.672 ± 0.0683
Prior entropy
0.8818
Recall
0.672 ± 0.0683
Per class
Relative absolute error
0.8069 ± 0.15
Root mean prior squared error
0.4583
Root mean squared error
0.5677 ± 0.057
Root relative squared error
1.2389 ± 0.1244
SciMark benchmark
862.7527
UserCPU time millis
10
UserCPU time millis training
10