DEVELOPMENT... OpenML
Run
163594

Run 163594

Task 3789 (Supervised Classification) fri_c0_500_25 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)_I40
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
0.918
Per class
F measure
0.828
Per class
Kappa
0.6561
KB relative information score
318.418
Mean absolute error
0.1836
Mean prior absolute error
0.4998
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
0.8287
Per class
Predictive accuracy
0.828
Prior entropy
0.9997
Recall
0.828
Per class
Relative absolute error
0.3674
Root mean prior squared error
0.4999
Root mean squared error
0.362
Root relative squared error
0.7241
SciMark benchmark
911.3823
UserCPU time millis
230
UserCPU time millis training
230