DEVELOPMENT... OpenML
Run
164164

Run 164164

Task 3630 (Supervised Classification) analcatdata_apnea3 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
0.9046
Per class
F measure
0.8312
Per class
Kappa
0.0621
KB relative information score
161.7829
Mean absolute error
0.1109
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
0.8962
Per class
Predictive accuracy
0.8822
Prior entropy
0.5405
Recall
0.8822
Per class
Relative absolute error
0.5139
Root mean prior squared error
0.3275
Root mean squared error
0.3151
Root relative squared error
0.9621
SciMark benchmark
943.2817
UserCPU time millis
60
UserCPU time millis testing
10
UserCPU time millis training
50