Run
53575

Run 53575

Task 1710 (Learning Curve) balance-scale 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.

19 Evaluation measures

Area under ROC curve
0.8488 ± 0.0648
Per class
Build CPU time
0.0037
Build memory
893490352.5
Kappa
0.4837 ± 0.0956
KB relative information score
0.416 ± 0.0709
Mean absolute error
0.2154 ± 0.0297
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7216 ± 0.0514
Prior entropy
1.3181 ± 0.0124
Recall
0.7216 ± 0.0514
Per class
Relative absolute error
0.5672 ± 0.078
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3622 ± 0.0437
Root relative squared error
0.8316 ± 0.1006
SciMark benchmark
1132.5492