DEVELOPMENT... OpenML
Run
162252

Run 162252

Task 3890 (Supervised Classification) ada_prior 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
0.8158
Per class
F measure
0.7967
Per class
Kappa
0.4252
KB relative information score
1859.9697
Mean absolute error
0.2029
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8015
Per class
Predictive accuracy
0.8139
Prior entropy
0.8085
Recall
0.8139
Per class
Relative absolute error
0.5438
Root mean prior squared error
0.4319
Root mean squared error
0.4111
Root relative squared error
0.9518
SciMark benchmark
938.4285
UserCPU time millis
100
UserCPU time millis training
100