DEVELOPMENT... OpenML
Run
163569

Run 163569

Task 3765 (Supervised Classification) sleuth_case2002 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
0.654
Per class
F measure
0.6984
Per class
Kappa
0.408
KB relative information score
53.5466
Mean absolute error
0.3214
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7178
Per class
Predictive accuracy
0.7007
Prior entropy
0.9974
Recall
0.7007
Per class
Relative absolute error
0.6452
Root mean prior squared error
0.4991
Root mean squared error
0.5324
Root relative squared error
1.0668
SciMark benchmark
911.3823