DEVELOPMENT... OpenML
Run
163000

Run 163000

Task 3917 (Supervised Classification) kc1 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)_I20
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
0.7915
Per class
F measure
0.7768
Per class
Kappa
0.0106
KB relative information score
527.5689
Mean absolute error
0.1609
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7734
Per class
Predictive accuracy
0.8445
Prior entropy
0.622
Recall
0.8445
Per class
Relative absolute error
0.615
Root mean prior squared error
0.3615
Root mean squared error
0.3599
Root relative squared error
0.9956
SciMark benchmark
938.4285
UserCPU time millis
240
UserCPU time millis testing
10
UserCPU time millis training
230