DEVELOPMENT... OpenML
Run
81150

Run 81150

Task 3495 (Supervised Classification) SPECT 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)_I20
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
0.7652
Per class
Build CPU time
0.0702
Build memory
1698434728.4494
F measure
0.8104
Per class
Kappa
0.3818
KB relative information score
44.5009
Mean absolute error
0.2578
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8097
Per class
Predictive accuracy
0.8277
Prior entropy
0.738
Recall
0.8277
Per class
Relative absolute error
0.7849
Root mean prior squared error
0.4044
Root mean squared error
0.3585
Root relative squared error
0.8865
SciMark benchmark
941.5201