DEVELOPMENT... OpenML
Run
162630

Run 162630

Task 3549 (Supervised Classification) analcatdata_authorship 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)_I20
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
0.7069
Per class
F measure
0.4129
Per class
Kappa
0.3338
KB relative information score
201.0921
Mean absolute error
0.2838
Mean prior absolute error
0.3439
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
0.3335
Per class
Predictive accuracy
0.5541
Prior entropy
1.7898
Recall
0.5541
Per class
Relative absolute error
0.8254
Root mean prior squared error
0.4146
Root mean squared error
0.3708
Root relative squared error
0.8945
SciMark benchmark
922.9039
UserCPU time millis
130
UserCPU time millis training
130

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