DEVELOPMENT... OpenML
Run
164142

Run 164142

Task 3608 (Supervised Classification) fri_c4_500_100 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
0.9298
Per class
F measure
0.8553
Per class
Kappa
0.7047
KB relative information score
347.4121
Mean absolute error
0.1506
Mean prior absolute error
0.4913
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
0.8561
Per class
Predictive accuracy
0.856
Prior entropy
0.9875
Recall
0.856
Per class
Relative absolute error
0.3065
Root mean prior squared error
0.4956
Root mean squared error
0.3465
Root relative squared error
0.6991
SciMark benchmark
943.2817
UserCPU time millis
1500
UserCPU time millis testing
10
UserCPU time millis training
1490

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