Run
54143

Run 54143

Task 1702 (Learning Curve) kr-vs-kp 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.Bagging(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging(1)_P100
weka.Bagging(1)_S1
weka.Bagging(1)_num-slots1
weka.Bagging(1)_I10
weka.Bagging(1)_Wweka.classifiers.functions.SPegasos

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
0.9846 ± 0.0056
Per class
Build CPU time
0.7333
Build memory
2479501255.0667
F measure
0.97 ± 0.0081
Per class
Kappa
0.9399 ± 0.0162
KB relative information score
0.9352 ± 0.0142
Mean absolute error
0.0328 ± 0.007
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
0.9702 ± 0.008
Per class
Predictive accuracy
0.97 ± 0.0081
Prior entropy
0.9986 ± 0.0002
Recall
0.97 ± 0.0081
Per class
Relative absolute error
0.0656 ± 0.0141
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1589 ± 0.018
Root relative squared error
0.3181 ± 0.0361
SciMark benchmark
1615.5755