DEVELOPMENT... OpenML
Run
165123

Run 165123

Task 3613 (Supervised Classification) servo 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
0.9907
Per class
F measure
0.9586
Per class
Kappa
0.884
KB relative information score
143.1395
Mean absolute error
0.0434
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.96
Per class
Predictive accuracy
0.9581
Prior entropy
0.7794
Recall
0.9581
Per class
Relative absolute error
0.123
Root mean prior squared error
0.4193
Root mean squared error
0.1959
Root relative squared error
0.4671
SciMark benchmark
894.7455
UserCPU time millis
20
UserCPU time millis training
20