Run
504432

Run 504432

Task 1702 (Learning Curve) kr-vs-kp Uploaded 02-01-2016 by Joaquin Vanschoren
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Flow

weka.Bagging_J48(5)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.Bagging_J48(5)_P100
weka.Bagging_J48(5)_S1
weka.Bagging_J48(5)_num-slots1
weka.Bagging_J48(5)_I10
weka.Bagging_J48(5)_Wweka.classifiers.trees.J48

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.

22 Evaluation measures

Area under ROC curve
0.9993 ± 0.0007
Per class
F measure
0.9941 ± 0.0034
Per class
Kappa
0.9881 ± 0.0069
KB relative information score
3136.165 ± 2.1481
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_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9941 ± 0.0034
Per class
Predictive accuracy
0.9941 ± 0.0034
Prior entropy
0.9986
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
925.5951
UserCPU time millis
240
UserCPU time millis testing
10
UserCPU time millis training
230