DEVELOPMENT... OpenML
Run
162063

Run 162063

Task 3701 (Supervised Classification) sleuth_case1102 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
0.4123
Per class
F measure
0.429
Per class
Kappa
-0.0421
KB relative information score
-0.3468
Mean absolute error
0.4986
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4535
Per class
Predictive accuracy
0.5294
Prior entropy
0.9911
Recall
0.5294
Per class
Relative absolute error
1.0103
Root mean prior squared error
0.4965
Root mean squared error
0.6334
Root relative squared error
1.2757
SciMark benchmark
938.9865