DEVELOPMENT... OpenML
Run
161754

Run 161754

Task 2256 (Supervised Classification) BNG(pendigits) Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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
0.6896
Per class
F measure
0.0679
Per class
Kappa
0.1029
KB relative information score
189501.9
Mean absolute error
0.1697
Mean prior absolute error
0.18
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0411
Per class
Predictive accuracy
0.1964
Prior entropy
3.3207
Recall
0.1964
Per class
Relative absolute error
0.9428
Root mean prior squared error
0.3
Root mean squared error
0.2913
Root relative squared error
0.971
SciMark benchmark
923.7642
UserCPU time millis
26880
UserCPU time millis testing
900
UserCPU time millis training
25980