Run
890

Run 890

Task 63 (Learning Curve) kr-vs-kp Uploaded 08-04-2014 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.

19 Evaluation measures

Area under ROC curve
0.6655 ± 0.0161
Per class
F measure
0.6233 ± 0.0232
Per class
Kappa
0.3396 ± 0.032
KB relative information score
0.2118 ± 0.0203
Mean absolute error
0.397 ± 0.0097
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8015 ± 0.0058
Per class
Predictive accuracy
0.6605 ± 0.0171
Prior entropy
0.9986 ± 0.0002
Recall
0.6605 ± 0.0171
Per class
Relative absolute error
0.7955 ± 0.0194
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.4455 ± 0.0065
Root relative squared error
0.8919 ± 0.013
SciMark benchmark
891.6649