DEVELOPMENT... OpenML
Run
162906

Run 162906

Task 3821 (Supervised Classification) segment 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
0.9925
Per class
F measure
0.9931
Per class
Kappa
0.9716
KB relative information score
2210.3634
Mean absolute error
0.0088
Mean prior absolute error
0.2451
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9931
Per class
Predictive accuracy
0.9931
Prior entropy
0.5925
Recall
0.9931
Per class
Relative absolute error
0.0359
Root mean prior squared error
0.3499
Root mean squared error
0.0804
Root relative squared error
0.2297
SciMark benchmark
922.9039
UserCPU time millis
250
UserCPU time millis training
250