DEVELOPMENT... OpenML
Run
162751

Run 162751

Task 3670 (Supervised Classification) fri_c4_500_50 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)_I20
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
0.8535
Per class
F measure
0.7841
Per class
Kappa
0.5672
KB relative information score
265.1891
Mean absolute error
0.2392
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
0.7845
Per class
Predictive accuracy
0.784
Prior entropy
0.9978
Recall
0.784
Per class
Relative absolute error
0.4799
Root mean prior squared error
0.4992
Root mean squared error
0.4198
Root relative squared error
0.841
SciMark benchmark
922.9039
UserCPU time millis
190
UserCPU time millis training
190