DEVELOPMENT... OpenML
Run
163524

Run 163524

Task 3719 (Supervised Classification) fishcatch 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
0.9806
Per class
F measure
0.9559
Per class
Kappa
0.9088
KB relative information score
142.904
Mean absolute error
0.0448
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9581
Per class
Predictive accuracy
0.9557
Prior entropy
0.971
Recall
0.9557
Per class
Relative absolute error
0.0934
Root mean prior squared error
0.4896
Root mean squared error
0.2084
Root relative squared error
0.4256
SciMark benchmark
911.3823
UserCPU time millis
20
UserCPU time millis training
20