DEVELOPMENT... OpenML
Run
161993

Run 161993

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)_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
0.759
Per class
F measure
0.8206
Per class
KB relative information score
120.0305
Mean absolute error
0.1222
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
0.7705
Per class
Predictive accuracy
0.8778
Prior entropy
0.5405
Recall
0.8778
Per class
Relative absolute error
0.5664
Root mean prior squared error
0.3275
Root mean squared error
0.3471
Root relative squared error
1.0598
SciMark benchmark
938.4285