DEVELOPMENT... OpenML
Run
162399

Run 162399

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)_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
0.846
Per class
F measure
0.7329
Per class
Kappa
0.4635
KB relative information score
96.3548
Mean absolute error
0.2671
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
0.738
Per class
Predictive accuracy
0.7356
Prior entropy
0.9968
Recall
0.7356
Per class
Relative absolute error
0.5366
Root mean prior squared error
0.4989
Root mean squared error
0.4763
Root relative squared error
0.9548
SciMark benchmark
939.7623
UserCPU time millis
90
UserCPU time millis training
90