DEVELOPMENT... OpenML
Run
164253

Run 164253

Task 3718 (Supervised Classification) boston 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)_I80
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
0.9261
Per class
F measure
0.8626
Per class
Kappa
0.7153
KB relative information score
359.7449
Mean absolute error
0.1385
Mean prior absolute error
0.4849
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8637
Per class
Predictive accuracy
0.8636
Prior entropy
0.9782
Recall
0.8636
Per class
Relative absolute error
0.2856
Root mean prior squared error
0.4924
Root mean squared error
0.3514
Root relative squared error
0.7138
SciMark benchmark
943.2817
UserCPU time millis
150
UserCPU time millis training
150

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