Run
499058

Run 499058

Task 10069 (Learning Curve) mozilla4 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)_V0.001
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
0.9278 ± 0.0073
Per class
F measure
0.9367 ± 0.0068
Per class
Kappa
0.8565 ± 0.0154
KB relative information score
13198.4353 ± 25.9065
Mean absolute error
0.0632 ± 0.0069
Mean prior absolute error
0.4412 ± 0.0001
Number of instances
15545
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9367 ± 0.0068
Per class
Predictive accuracy
0.9368 ± 0.0069
Prior entropy
0.9135
Recall
0.9368 ± 0.0069
Per class
Relative absolute error
0.1433 ± 0.0157
Root mean prior squared error
0.4697 ± 0.0001
Root mean squared error
0.2515 ± 0.0138
Root relative squared error
0.5354 ± 0.0295
SciMark benchmark
862.7527
UserCPU time millis
150
UserCPU time millis testing
10
UserCPU time millis training
140