Run
479479

Run 479479

Task 10064 (Learning Curve) KDDCup09_upselling Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.RandomTree(11)Weka implementation of RandomTree
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_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
0.5182 ± 0.0153
Per class
F measure
0.8779 ± 0.0022
Per class
Kappa
0.0097 ± 0.014
KB relative information score
-23964.5325 ± 99.3368
Mean absolute error
0.1337 ± 0.002
Mean prior absolute error
0.1364 ± 0.0001
Number of instances
50000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.865 ± 0.0022
Per class
Predictive accuracy
0.8921 ± 0.0042
Prior entropy
0.3794
Recall
0.8921 ± 0.0042
Per class
Relative absolute error
0.9797 ± 0.0145
Root mean prior squared error
0.2612 ± 0.0001
Root mean squared error
0.32 ± 0.0049
Root relative squared error
1.2254 ± 0.0188
SciMark benchmark
1767.5245
UserCPU time millis
20440
UserCPU time millis testing
2550
UserCPU time millis training
17890