DEVELOPMENT... OpenML
Run
162687

Run 162687

Task 3607 (Supervised Classification) rmftsa_sleepdata 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
0.7683
Per class
F measure
0.7216
Per class
Kappa
0.4485
KB relative information score
428.7852
Mean absolute error
0.2942
Mean prior absolute error
0.5
Number of instances
1024
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.734
Per class
Predictive accuracy
0.7246
Prior entropy
1
Recall
0.7246
Per class
Relative absolute error
0.5884
Root mean prior squared error
0.5
Root mean squared error
0.4927
Root relative squared error
0.9854
SciMark benchmark
922.9039
UserCPU time millis
30
UserCPU time millis training
30