DEVELOPMENT... OpenML
Run
165374

Run 165374

Task 3833 (Supervised Classification) analcatdata_authorship Uploaded 17-02-2015 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)_I160
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
0.9989
Per class
F measure
0.9893
Per class
Kappa
0.9772
KB relative information score
821.9011
Mean absolute error
0.0102
Mean prior absolute error
0.4698
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9893
Per class
Predictive accuracy
0.9893
Prior entropy
0.9561
Recall
0.9893
Per class
Relative absolute error
0.0216
Root mean prior squared error
0.4846
Root mean squared error
0.0952
Root relative squared error
0.1964
SciMark benchmark
940.2922
UserCPU time millis
1650
UserCPU time millis testing
10
UserCPU time millis training
1640