Run
434792

Run 434792

Task 2094 (Learning Curve) adult Uploaded 12-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I40
weka.MultiBoostAB_DecisionStump(3)_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
0.8732 ± 0.0052
Per class
F measure
0.8124 ± 0.0034
Per class
Kappa
0.4543 ± 0.0107
KB relative information score
0.4505 ± 0.0067
Mean absolute error
0.1814 ± 0.002
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8192 ± 0.0034
Per class
Predictive accuracy
0.8291 ± 0.0027
Prior entropy
0.7938 ± 0.0002
Recall
0.8291 ± 0.0027
Per class
Relative absolute error
0.4983 ± 0.0056
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3913 ± 0.003
Root relative squared error
0.9171 ± 0.0071
SciMark benchmark
904.333
UserCPU time millis
6710
UserCPU time millis testing
80
UserCPU time millis training
6630