Run
292932

Run 292932

Task 1712 (Learning Curve) breast-cancer Uploaded 17-03-2015 by Joaquin Vanschoren
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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
0.5871 ± 0.115
Per class
F measure
0.6553 ± 0.0495
Per class
Kappa
0.1391 ± 0.1296
KB relative information score
0.0457 ± 0.102
Mean absolute error
0.3851 ± 0.0349
Mean prior absolute error
0.4183 ± 0.0068
Number of instances
286
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.666 ± 0.0822
Per class
Predictive accuracy
0.7063 ± 0.0416
Prior entropy
0.8779 ± 0.0209
Recall
0.7063 ± 0.0416
Per class
Relative absolute error
0.9207 ± 0.0824
Root mean prior squared error
0.457 ± 0.0075
Root mean squared error
0.4721 ± 0.0301
Root relative squared error
1.0329 ± 0.0649
SciMark benchmark
1357.9528
UserCPU time millis
10
UserCPU time millis training
10