DEVELOPMENT... OpenML
Run
163531

Run 163531

Task 3725 (Supervised Classification) auto93 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)_I40
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
0.9047
Per class
F measure
0.8495
Per class
Kappa
0.6793
KB relative information score
60.1115
Mean absolute error
0.1637
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8495
Per class
Predictive accuracy
0.8495
Prior entropy
0.9573
Recall
0.8495
Per class
Relative absolute error
0.3483
Root mean prior squared error
0.4845
Root mean squared error
0.3683
Root relative squared error
0.7603
SciMark benchmark
936.6206
UserCPU time millis
20
UserCPU time millis training
20

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