DEVELOPMENT... OpenML
Run
162274

Run 162274

Task 3911 (Supervised Classification) ar4 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
0.8218
Per class
F measure
0.8092
Per class
Kappa
0.3604
KB relative information score
31.651
Mean absolute error
0.1803
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.806
Per class
Predictive accuracy
0.8131
Prior entropy
0.707
Recall
0.8131
Per class
Relative absolute error
0.5862
Root mean prior squared error
0.3899
Root mean squared error
0.4086
Root relative squared error
1.0481
SciMark benchmark
938.4278
UserCPU time millis
10
UserCPU time millis training
10