Run
34

Run 34

Task 71 (Learning Curve) mfeat-factors Uploaded 06-04-2014 by Jan van Rijn
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Flow

weka.DecisionStump(1)Weka implementation of DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.7186 ± 0.0132
Per class
Kappa
0.1081 ± 0.0043
KB relative information score
0.2204 ± 0.0074
Mean absolute error
0.1669 ± 0.0005
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Predictive accuracy
0.1973 ± 0.0039
Prior entropy
3.3219
Recall
0.1973 ± 0.0039
Per class
Relative absolute error
0.927 ± 0.0028
Root mean prior squared error
0.3
Root mean squared error
0.2893 ± 0.0009
Root relative squared error
0.9643 ± 0.0029
SciMark benchmark
1941.9555