Run
504437

Run 504437

Task 1736 (Learning Curve) diabetes 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
0.8209 ± 0.0486
Per class
F measure
0.7617 ± 0.0489
Per class
Kappa
0.4708 ± 0.1113
KB relative information score
269.5074 ± 5.2726
Mean absolute error
0.298 ± 0.0288
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7605 ± 0.0462
Per class
Predictive accuracy
0.7643 ± 0.0435
Prior entropy
0.9335
Recall
0.7643 ± 0.0435
Per class
Relative absolute error
0.6556 ± 0.0628
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4036 ± 0.0317
Root relative squared error
0.8467 ± 0.0655
SciMark benchmark
925.5951
UserCPU time millis
100
UserCPU time millis training
100