Run
433900

Run 433900

Task 94 (Learning Curve) dermatology Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.Dagging_DecisionStump(3)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(3)_F10
weka.Dagging_DecisionStump(3)_S1
weka.Dagging_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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.

20 Evaluation measures

Area under ROC curve
0.858 ± 0.0232
Per class
Kappa
0.3647 ± 0.0625
KB relative information score
0.3625 ± 0.0133
Mean absolute error
0.1943 ± 0.0044
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.5194 ± 0.0442
Prior entropy
2.4327 ± 0.0089
Recall
0.5194 ± 0.0442
Per class
Relative absolute error
0.7293 ± 0.0158
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.3003 ± 0.0044
Root relative squared error
0.8231 ± 0.0113
SciMark benchmark
852.171