Run
433924

Run 433924

Task 87 (Learning Curve) optdigits 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.

22 Evaluation measures

Area under ROC curve
0.8023 ± 0.0386
Per class
F measure
0.2381
Per class
Kappa
0.2667 ± 0.0746
KB relative information score
0.1883 ± 0.0027
Mean absolute error
0.1688 ± 0.0002
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3277
Per class
Predictive accuracy
0.34 ± 0.0671
Prior entropy
3.3218 ± 0.0001
Recall
0.34 ± 0.0671
Per class
Relative absolute error
0.9375 ± 0.0011
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2875 ± 0.0013
Root relative squared error
0.9583 ± 0.0043
SciMark benchmark
934.3653
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40