DEVELOPMENT... OpenML
Run
164296

Run 164296

Task 3761 (Supervised Classification) hip 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
0.8736
Per class
F measure
0.759
Per class
Kappa
0.5198
KB relative information score
29.7096
Mean absolute error
0.2234
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
0.7635
Per class
Predictive accuracy
0.7593
Prior entropy
0.9991
Recall
0.7593
Per class
Relative absolute error
0.4474
Root mean prior squared error
0.4997
Root mean squared error
0.4391
Root relative squared error
0.8787
SciMark benchmark
938.2848
UserCPU time millis
10
UserCPU time millis training
10