DEVELOPMENT... OpenML
Run
161448

Run 161448

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)_I10
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
0.8261
Per class
F measure
0.7128
Per class
Kappa
0.4237
KB relative information score
93.9859
Mean absolute error
0.2715
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
0.7192
Per class
Predictive accuracy
0.7163
Prior entropy
0.9968
Recall
0.7163
Per class
Relative absolute error
0.5455
Root mean prior squared error
0.4989
Root mean squared error
0.482
Root relative squared error
0.9662
SciMark benchmark
933.8635
UserCPU time millis
80
UserCPU time millis training
80