DEVELOPMENT... OpenML
Run
165106

Run 165106

Task 3597 (Supervised Classification) baskball 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
0.7664
Per class
F measure
0.7604
Per class
Kappa
0.5208
KB relative information score
48.354
Mean absolute error
0.2517
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7606
Per class
Predictive accuracy
0.7604
Prior entropy
0.9997
Recall
0.7604
Per class
Relative absolute error
0.5036
Root mean prior squared error
0.4999
Root mean squared error
0.4577
Root relative squared error
0.9156
SciMark benchmark
936.7115
UserCPU time millis
40
UserCPU time millis training
40

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