DEVELOPMENT... OpenML
Run
164603

Run 164603

Task 57 (Supervised Classification) ionosphere 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)_I160
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
0.9583
Per class
F measure
0.9249
Per class
Kappa
0.835
KB relative information score
289.8478
Mean absolute error
0.078
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
0.9271
Per class
Predictive accuracy
0.9259
Prior entropy
0.9425
Recall
0.9259
Per class
Relative absolute error
0.1693
Root mean prior squared error
0.4797
Root mean squared error
0.2669
Root relative squared error
0.5563
SciMark benchmark
942.1229
UserCPU time millis
570
UserCPU time millis training
570