DEVELOPMENT... OpenML
Run
162620

Run 162620

Task 3540 (Supervised Classification) analcatdata_boxing1 Uploaded 16-02-2015 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)_I20
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
0.7962
Per class
F measure
0.6674
Per class
Kappa
0.2715
KB relative information score
47.4419
Mean absolute error
0.2671
Mean prior absolute error
0.4557
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7774
Per class
Predictive accuracy
0.725
Prior entropy
0.9362
Recall
0.725
Per class
Relative absolute error
0.5862
Root mean prior squared error
0.477
Root mean squared error
0.4714
Root relative squared error
0.9884
SciMark benchmark
922.9039
UserCPU time millis
10
UserCPU time millis training
10