DEVELOPMENT... OpenML
Run
163699

Run 163699

Task 3896 (Supervised Classification) ada_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
0.8755
Per class
F measure
0.8095
Per class
Kappa
0.4594
KB relative information score
2131.5594
Mean absolute error
0.1817
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8201
Per class
Predictive accuracy
0.8275
Prior entropy
0.8085
Recall
0.8275
Per class
Relative absolute error
0.4868
Root mean prior squared error
0.4319
Root mean squared error
0.3845
Root relative squared error
0.8903
SciMark benchmark
936.6206
UserCPU time millis
1520
UserCPU time millis testing
10
UserCPU time millis training
1510