DEVELOPMENT... OpenML
Run
164097

Run 164097

Task 3561 (Supervised Classification) profb 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
0.6554
Per class
F measure
0.5928
Per class
Kappa
0.0837
KB relative information score
128.7577
Mean absolute error
0.3459
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6403
Per class
Predictive accuracy
0.6741
Prior entropy
0.9188
Recall
0.6741
Per class
Relative absolute error
0.7779
Root mean prior squared error
0.4714
Root mean squared error
0.5001
Root relative squared error
1.0609
SciMark benchmark
936.6206
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80