DEVELOPMENT... OpenML
Run
163141

Run 163141

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)_I40
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
0.9464
Per class
F measure
0.8912
Per class
Kappa
0.7596
KB relative information score
260.927
Mean absolute error
0.1152
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
0.9005
Per class
Predictive accuracy
0.8946
Prior entropy
0.9425
Recall
0.8946
Per class
Relative absolute error
0.2502
Root mean prior squared error
0.4797
Root mean squared error
0.3096
Root relative squared error
0.6455
SciMark benchmark
876.8277
UserCPU time millis
150
UserCPU time millis training
150