DEVELOPMENT... OpenML
Run
162298

Run 162298

Task 3525 (Supervised Classification) new3s.wc 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)_I10
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
0.6443
Per class
F measure
0.0185
Per class
Kappa
0.0486
KB relative information score
1060.6968
Mean absolute error
0.0433
Mean prior absolute error
0.0441
Number of instances
9558
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0105
Per class
Predictive accuracy
0.0904
Prior entropy
5.2666
Recall
0.0904
Per class
Relative absolute error
0.9831
Root mean prior squared error
0.1485
Root mean squared error
0.1472
Root relative squared error
0.9915
SciMark benchmark
939.7623
UserCPU time millis
273870
UserCPU time millis testing
40
UserCPU time millis training
273830