DEVELOPMENT... OpenML
Run
165144

Run 165144

Task 3631 (Supervised Classification) analcatdata_apnea2 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)_I160
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
0.9421
Per class
F measure
0.8785
Per class
Kappa
0.4076
KB relative information score
235.9059
Mean absolute error
0.1009
Mean prior absolute error
0.2343
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
0.9014
Per class
Predictive accuracy
0.9011
Prior entropy
0.5744
Recall
0.9011
Per class
Relative absolute error
0.4308
Root mean prior squared error
0.3414
Root mean squared error
0.2768
Root relative squared error
0.8107
SciMark benchmark
936.6206
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60

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