Run
55345

Run 55345

Task 1711 (Learning Curve) mfeat-factors Uploaded 10-11-2014 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_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I10
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9939 ± 0.0026
Per class
Build CPU time
1.0179
Build memory
787374747.3455
F measure
0.9374 ± 0.0151
Per class
Kappa
0.9306 ± 0.0168
KB relative information score
0.9056 ± 0.0113
Mean absolute error
0.0276 ± 0.0026
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9376 ± 0.013
Per class
Predictive accuracy
0.9375 ± 0.0151
Prior entropy
3.3219
Recall
0.9375 ± 0.0151
Per class
Relative absolute error
0.1532 ± 0.0143
Root mean prior squared error
0.3
Root mean squared error
0.1036 ± 0.0078
Root relative squared error
0.3453 ± 0.0261
SciMark benchmark
1814.8577