DEVELOPMENT... OpenML
Run
162671

Run 162671

Task 3592 (Supervised Classification) fri_c2_100_5 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
0.8281
Per class
F measure
0.7778
Per class
Kappa
0.5339
KB relative information score
50.7888
Mean absolute error
0.234
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7781
Per class
Predictive accuracy
0.78
Prior entropy
0.9721
Recall
0.78
Per class
Relative absolute error
0.4872
Root mean prior squared error
0.4899
Root mean squared error
0.4461
Root relative squared error
0.9105
SciMark benchmark
922.9039