DEVELOPMENT... OpenML
Run
163725

Run 163725

Task 3922 (Supervised Classification) desharnais 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)_I40
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
0.7303
Per class
F measure
0.6668
Per class
Kappa
0.449
KB relative information score
18.2429
Mean absolute error
0.3282
Mean prior absolute error
0.3804
Number of instances
81
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6251
Per class
Predictive accuracy
0.716
Prior entropy
1.3765
Recall
0.716
Per class
Relative absolute error
0.8628
Root mean prior squared error
0.4348
Root mean squared error
0.3885
Root relative squared error
0.8935
SciMark benchmark
936.6206