DEVELOPMENT... OpenML
Run
164208

Run 164208

Task 3670 (Supervised Classification) fri_c4_500_50 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
0.9324
Per class
F measure
0.8401
Per class
Kappa
0.6793
KB relative information score
333.8735
Mean absolute error
0.1669
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8402
Per class
Predictive accuracy
0.84
Prior entropy
0.9978
Recall
0.84
Per class
Relative absolute error
0.3348
Root mean prior squared error
0.4992
Root mean squared error
0.3553
Root relative squared error
0.7117
SciMark benchmark
938.2848
UserCPU time millis
790
UserCPU time millis training
790