DEVELOPMENT... OpenML
Run
161994

Run 161994

Task 3631 (Supervised Classification) analcatdata_apnea2 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)_I10
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
0.8149
Per class
F measure
0.8028
Per class
KB relative information score
127.6864
Mean absolute error
0.1347
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
0.7487
Per class
Predictive accuracy
0.8653
Prior entropy
0.5744
Recall
0.8653
Per class
Relative absolute error
0.5751
Root mean prior squared error
0.3414
Root mean squared error
0.3661
Root relative squared error
1.0721
SciMark benchmark
938.4278