DEVELOPMENT... OpenML
Run
164147

Run 164147

Task 3613 (Supervised Classification) servo Uploaded 17-02-2015 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)_I80
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
0.9877
Per class
F measure
0.9468
Per class
Kappa
0.8508
KB relative information score
138.5792
Mean absolute error
0.0518
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9483
Per class
Predictive accuracy
0.9461
Prior entropy
0.7794
Recall
0.9461
Per class
Relative absolute error
0.1466
Root mean prior squared error
0.4193
Root mean squared error
0.2046
Root relative squared error
0.4881
SciMark benchmark
943.2817
UserCPU time millis
20
UserCPU time millis training
20