DEVELOPMENT... OpenML
Run
165199

Run 165199

Task 3679 (Supervised Classification) chscase_vine2 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
0.8743
Per class
F measure
0.7925
Per class
Kappa
0.5806
KB relative information score
263.5294
Mean absolute error
0.2191
Mean prior absolute error
0.4956
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7979
Per class
Predictive accuracy
0.7949
Prior entropy
0.9937
Recall
0.7949
Per class
Relative absolute error
0.4421
Root mean prior squared error
0.4978
Root mean squared error
0.4125
Root relative squared error
0.8287
SciMark benchmark
936.7115
UserCPU time millis
80
UserCPU time millis training
80