DEVELOPMENT... OpenML
Run
162922

Run 162922

Task 3840 (Supervised Classification) letter 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
0.9261
Per class
F measure
0.9394
Per class
KB relative information score
4453.103
Mean absolute error
0.0409
Mean prior absolute error
0.078
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9204
Per class
Predictive accuracy
0.9594
Prior entropy
0.2455
Recall
0.9594
Per class
Relative absolute error
0.5245
Root mean prior squared error
0.1975
Root mean squared error
0.1991
Root relative squared error
1.008
SciMark benchmark
934.5243
UserCPU time millis
1620
UserCPU time millis testing
40
UserCPU time millis training
1580