DEVELOPMENT... OpenML
Run
81365

Run 81365

Task 11 (Supervised Classification) balance-scale Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I40
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
0.9435
Per class
Build CPU time
0.0749
Build memory
2635086717.1072
F measure
0.8199
Per class
Kappa
0.7256
KB relative information score
326.0264
Mean absolute error
0.1803
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.791
Per class
Predictive accuracy
0.8512
Prior entropy
1.3212
Recall
0.8512
Per class
Relative absolute error
0.4747
Root mean prior squared error
0.4356
Root mean squared error
0.2748
Root relative squared error
0.631
SciMark benchmark
949.2096