Run
51025

Run 51025

Task 1711 (Learning Curve) mfeat-factors 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.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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
0.8547 ± 0.0301
Per class
Build CPU time
0.1382
Build memory
174978608.8
F measure
0.3153
Per class
Kappa
0.3078 ± 0.0618
KB relative information score
0.2164 ± 0.0045
Mean absolute error
0.1666 ± 0.0004
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.4266
Per class
Predictive accuracy
0.377 ± 0.0556
Prior entropy
3.3219
Recall
0.377 ± 0.0556
Per class
Relative absolute error
0.9255 ± 0.002
Root mean prior squared error
0.3
Root mean squared error
0.2833 ± 0.0014
Root relative squared error
0.9443 ± 0.0047
SciMark benchmark
1914.93