Run
50998

Run 50998

Task 1730 (Learning Curve) credit-g Uploaded 06-11-2014 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_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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
0.7331 ± 0.0492
Per class
Build CPU time
4.4834
Build memory
215372812.8889
F measure
0.6631 ± 0.0475
Per class
Kappa
0.1647 ± 0.1105
KB relative information score
0.2663 ± 0.0492
Mean absolute error
0.2898 ± 0.0174
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6819 ± 0.0519
Per class
Predictive accuracy
0.714 ± 0.0276
Prior entropy
0.8813
Recall
0.714 ± 0.0276
Per class
Relative absolute error
0.6898 ± 0.0415
Root mean prior squared error
0.4583
Root mean squared error
0.4888 ± 0.019
Root relative squared error
1.0666 ± 0.0415
SciMark benchmark
1651.8608