DEVELOPMENT... OpenML
Run
163859

Run 163859

Task 39 (Supervised Classification) sonar 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)_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
0.9014
Per class
F measure
0.7876
Per class
Kappa
0.5728
KB relative information score
122.3565
Mean absolute error
0.203
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7891
Per class
Predictive accuracy
0.7885
Prior entropy
0.9968
Recall
0.7885
Per class
Relative absolute error
0.4079
Root mean prior squared error
0.4989
Root mean squared error
0.4249
Root relative squared error
0.8517
SciMark benchmark
938.4278
UserCPU time millis
350
UserCPU time millis training
350