Run
53620

Run 53620

Task 1757 (Learning Curve) waveform-5000 Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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)_I10
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.

21 Evaluation measures

Area under ROC curve
0.8488 ± 0.0136
Per class
Build CPU time
0.1187
Build memory
6698643280.5714
F measure
0.476 ± 0.0484
Per class
Kappa
0.3768 ± 0.0405
KB relative information score
0.3318 ± 0.016
Mean absolute error
0.3331 ± 0.0073
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6919 ± 0.0771
Per class
Predictive accuracy
0.583 ± 0.0272
Prior entropy
1.5849 ± 0
Recall
0.583 ± 0.0272
Per class
Relative absolute error
0.7496 ± 0.0164
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4076 ± 0.0108
Root relative squared error
0.8647 ± 0.0229
SciMark benchmark
1676.6751