DEVELOPMENT... OpenML
Run
163730

Run 163730

Task 3891 (Supervised Classification) gina_agnostic 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
0.8959
Per class
F measure
0.8087
Per class
Kappa
0.618
KB relative information score
2091.7508
Mean absolute error
0.2
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8124
Per class
Predictive accuracy
0.8094
Prior entropy
0.9998
Recall
0.8094
Per class
Relative absolute error
0.4001
Root mean prior squared error
0.4999
Root mean squared error
0.3996
Root relative squared error
0.7992
SciMark benchmark
942.1229
UserCPU time millis
30490
UserCPU time millis testing
20
UserCPU time millis training
30470