DEVELOPMENT... OpenML
Run
162414

Run 162414

Task 57 (Supervised Classification) ionosphere 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
0.9361
Per class
F measure
0.8494
Per class
Kappa
0.666
KB relative information score
244.7891
Mean absolute error
0.1342
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8725
Per class
Predictive accuracy
0.8576
Prior entropy
0.9425
Recall
0.8576
Per class
Relative absolute error
0.2915
Root mean prior squared error
0.4797
Root mean squared error
0.3329
Root relative squared error
0.6939
SciMark benchmark
939.7623
UserCPU time millis
90
UserCPU time millis training
90