DEVELOPMENT... OpenML
Run
47739

Run 47739

Task 69 (Learning Curve) lymph Uploaded 05-11-2014 by Jason
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.8637 ± 0.0938
Per class
Build CPU time
0.0024
Build memory
2193504277.66
F measure
0.7564 ± 0.1114
Per class
Kappa
0.5489 ± 0.1939
KB relative information score
0.4629 ± 0.1376
Mean absolute error
0.1548 ± 0.0348
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7461 ± 0.1105
Per class
Predictive accuracy
0.7689 ± 0.1001
Prior entropy
1.2302 ± 0.1357
Recall
0.7689 ± 0.1001
Per class
Relative absolute error
0.5781 ± 0.1261
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.2842 ± 0.054
Root relative squared error
0.7808 ± 0.1429
SciMark benchmark
1445.6628