DEVELOPMENT... OpenML
Run
164423

Run 164423

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.9396
Per class
F measure
0.8763
Per class
Kappa
0.6358
KB relative information score
241.2293
Mean absolute error
0.1239
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8755
Per class
Predictive accuracy
0.88
Prior entropy
0.7716
Recall
0.88
Per class
Relative absolute error
0.3545
Root mean prior squared error
0.4176
Root mean squared error
0.3041
Root relative squared error
0.7282
SciMark benchmark
936.7115
UserCPU time millis
30
UserCPU time millis training
30

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