DEVELOPMENT... OpenML
Run
164338

Run 164338

Task 3800 (Supervised Classification) fri_c3_500_50 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
0.9143
Per class
F measure
0.8468
Per class
Kappa
0.6874
KB relative information score
330.1845
Mean absolute error
0.1691
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.849
Per class
Predictive accuracy
0.848
Prior entropy
0.9882
Recall
0.848
Per class
Relative absolute error
0.3438
Root mean prior squared error
0.4959
Root mean squared error
0.3587
Root relative squared error
0.7233
SciMark benchmark
943.2817
UserCPU time millis
780
UserCPU time millis testing
10
UserCPU time millis training
770