DEVELOPMENT... OpenML
Run
164167

Run 164167

Task 3633 (Supervised Classification) analcatdata_apnea1 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
0.9165
Per class
F measure
0.8312
Per class
Kappa
0.109
KB relative information score
182.6463
Mean absolute error
0.1113
Mean prior absolute error
0.225
Number of instances
475
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8945
Per class
Predictive accuracy
0.88
Prior entropy
0.5574
Recall
0.88
Per class
Relative absolute error
0.4948
Root mean prior squared error
0.3346
Root mean squared error
0.3122
Root relative squared error
0.9331
SciMark benchmark
943.2817
UserCPU time millis
30
UserCPU time millis training
30