DEVELOPMENT... OpenML
Run
161832

Run 161832

Task 3500 (Supervised Classification) squash-unstored 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
0.7691
Per class
F measure
0.7192
Per class
Kappa
0.5357
KB relative information score
27.4983
Mean absolute error
0.1666
Mean prior absolute error
0.3823
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6913
Per class
Predictive accuracy
0.75
Prior entropy
1.3486
Recall
0.75
Per class
Relative absolute error
0.4358
Root mean prior squared error
0.4353
Root mean squared error
0.3981
Root relative squared error
0.9146
SciMark benchmark
938.4285