DEVELOPMENT... OpenML
Run
162710

Run 162710

Task 3630 (Supervised Classification) analcatdata_apnea3 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
0.8396
Per class
F measure
0.826
Per class
Kappa
0.0315
KB relative information score
132.0885
Mean absolute error
0.1181
Mean prior absolute error
0.2158
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8944
Per class
Predictive accuracy
0.88
Prior entropy
0.5405
Recall
0.88
Per class
Relative absolute error
0.5474
Root mean prior squared error
0.3275
Root mean squared error
0.3355
Root relative squared error
1.0241
SciMark benchmark
922.9039
UserCPU time millis
10
UserCPU time millis training
10