DEVELOPMENT... OpenML
Run
164432

Run 164432

Task 3896 (Supervised Classification) ada_agnostic 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
0.8833
Per class
F measure
0.829
Per class
Kappa
0.5218
KB relative information score
2275.4573
Mean absolute error
0.1706
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
0.8311
Per class
Predictive accuracy
0.8391
Prior entropy
0.8085
Recall
0.8391
Per class
Relative absolute error
0.4571
Root mean prior squared error
0.4319
Root mean squared error
0.3669
Root relative squared error
0.8495
SciMark benchmark
876.8277
UserCPU time millis
2830
UserCPU time millis testing
20
UserCPU time millis training
2810