DEVELOPMENT... OpenML
Run
164247

Run 164247

Task 3713 (Supervised Classification) schlvote 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)_I80
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
0.725
Per class
F measure
0.8126
Per class
Kappa
0.5092
KB relative information score
16.4105
Mean absolute error
0.2008
Mean prior absolute error
0.3934
Number of instances
38
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8106
Per class
Predictive accuracy
0.8158
Prior entropy
0.8485
Recall
0.8158
Per class
Relative absolute error
0.5103
Root mean prior squared error
0.4405
Root mean squared error
0.4351
Root relative squared error
0.9878
SciMark benchmark
938.2848
UserCPU time millis
10
UserCPU time millis training
10