DEVELOPMENT... OpenML
Run
163290

Run 163290

Task 3494 (Supervised Classification) monks-problems-3 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
0.9833
Per class
F measure
0.9567
Per class
Kappa
0.9132
KB relative information score
506.3219
Mean absolute error
0.0435
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
0.9567
Per class
Predictive accuracy
0.9567
Prior entropy
0.9989
Recall
0.9567
Per class
Relative absolute error
0.0871
Root mean prior squared error
0.4996
Root mean squared error
0.1791
Root relative squared error
0.3584
SciMark benchmark
945.6434
UserCPU time millis
20
UserCPU time millis training
20