DEVELOPMENT... OpenML
Run
162109

Run 162109

Task 3747 (Supervised Classification) fri_c0_500_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)_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
0.8602
Per class
F measure
0.7645
Per class
Kappa
0.5317
KB relative information score
256.4068
Mean absolute error
0.246
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
0.7725
Per class
Predictive accuracy
0.766
Prior entropy
1
Recall
0.766
Per class
Relative absolute error
0.4921
Root mean prior squared error
0.5
Root mean squared error
0.4161
Root relative squared error
0.8322
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10