DEVELOPMENT... OpenML
Run
165531

Run 165531

Task 3889 (Supervised Classification) sylva_agnostic 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)_I160
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
0.9971
Per class
F measure
0.9919
Per class
Kappa
0.9294
KB relative information score
12920.2287
Mean absolute error
0.0086
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9919
Per class
Predictive accuracy
0.9919
Prior entropy
0.3338
Recall
0.9919
Per class
Relative absolute error
0.0746
Root mean prior squared error
0.2403
Root mean squared error
0.0865
Root relative squared error
0.3599
SciMark benchmark
940.2922
UserCPU time millis
207440
UserCPU time millis testing
120
UserCPU time millis training
207320