Run
154802

Run 154802

Task 1735 (Learning Curve) segment Uploaded 10-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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
0.988 ± 0.0058
Per class
F measure
0.9552 ± 0.0105
Per class
Kappa
0.9475 ± 0.0122
KB relative information score
0.9409 ± 0.0115
Mean absolute error
0.0191 ± 0.0035
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9557 ± 0.0095
Per class
Predictive accuracy
0.955 ± 0.0104
Prior entropy
2.8074
Recall
0.955 ± 0.0104
Per class
Relative absolute error
0.0779 ± 0.0143
Root mean prior squared error
0.3499
Root mean squared error
0.1078 ± 0.0123
Root relative squared error
0.3082 ± 0.035
SciMark benchmark
639.2945
UserCPU time millis
40
UserCPU time millis training
40