DEVELOPMENT... OpenML
Run
164284

Run 164284

Task 3747 (Supervised Classification) fri_c0_500_5 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
0.9353
Per class
F measure
0.862
Per class
Kappa
0.724
KB relative information score
344.8341
Mean absolute error
0.1576
Mean prior absolute error
0.5
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
0.862
Per class
Predictive accuracy
0.862
Prior entropy
1
Recall
0.862
Per class
Relative absolute error
0.3152
Root mean prior squared error
0.5
Root mean squared error
0.3401
Root relative squared error
0.6801
SciMark benchmark
938.2848
UserCPU time millis
100
UserCPU time millis training
100