DEVELOPMENT... OpenML
Run
164984

Run 164984

Task 3494 (Supervised Classification) monks-problems-3 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
0.9831
Per class
F measure
0.9585
Per class
Kappa
0.9168
KB relative information score
503.1742
Mean absolute error
0.0464
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9587
Per class
Predictive accuracy
0.9585
Prior entropy
0.9989
Recall
0.9585
Per class
Relative absolute error
0.093
Root mean prior squared error
0.4996
Root mean squared error
0.194
Root relative squared error
0.3882
SciMark benchmark
911.3823
UserCPU time millis
80
UserCPU time millis training
80