DEVELOPMENT... OpenML
Run
162745

Run 162745

Task 3664 (Supervised Classification) fri_c0_1000_5 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
0.9034
Per class
F measure
0.8106
Per class
Kappa
0.6222
KB relative information score
604.022
Mean absolute error
0.2008
Mean prior absolute error
0.5
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8144
Per class
Predictive accuracy
0.811
Prior entropy
1
Recall
0.811
Per class
Relative absolute error
0.4016
Root mean prior squared error
0.5
Root mean squared error
0.3814
Root relative squared error
0.7629
SciMark benchmark
922.9039
UserCPU time millis
70
UserCPU time millis training
70