DEVELOPMENT... OpenML
Run
82596

Run 82596

Task 250 (Supervised Classification) mfeat-pixel 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)_I80
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
0.9858
Per class
Build CPU time
8.577
Build memory
229038264
F measure
0.8786
Per class
Kappa
0.8636
KB relative information score
514.594
Mean absolute error
0.0635
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8822
Per class
Predictive accuracy
0.8773
Prior entropy
3.3219
Recall
0.8773
Per class
Relative absolute error
0.3527
Root mean prior squared error
0.3
Root mean squared error
0.1499
Root relative squared error
0.4996
SciMark benchmark
944.2422