Run
61586

Run 61586

Task 1702 (Learning Curve) kr-vs-kp Uploaded 16-11-2014 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
0.9993 ± 0.0007
Per class
Build CPU time
0.0331
Build memory
2094689497.2
F measure
0.9941 ± 0.0034
Per class
Kappa
0.9881 ± 0.0069
KB relative information score
0.9813 ± 0.0074
Mean absolute error
0.0104 ± 0.0037
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9941 ± 0.0034
Per class
Predictive accuracy
0.9941 ± 0.0034
Prior entropy
0.9986 ± 0.0002
Recall
0.9941 ± 0.0034
Per class
Relative absolute error
0.0208 ± 0.0075
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0693 ± 0.0232
Root relative squared error
0.1388 ± 0.0465
SciMark benchmark
1645.3141