DEVELOPMENT... OpenML
Run
162840

Run 162840

Task 3761 (Supervised Classification) hip 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
0.842
Per class
F measure
0.7772
Per class
Kappa
0.5574
KB relative information score
29.4297
Mean absolute error
0.2291
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7852
Per class
Predictive accuracy
0.7778
Prior entropy
0.9991
Recall
0.7778
Per class
Relative absolute error
0.4589
Root mean prior squared error
0.4997
Root mean squared error
0.4462
Root relative squared error
0.8929
SciMark benchmark
934.5243
UserCPU time millis
10
UserCPU time millis training
10