DEVELOPMENT... OpenML
Run
10444

Run 10444

Task 22 (Supervised Classification) mfeat-zernike Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I70
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9689
Per class
F measure
0.7344
Per class
Kappa
0.7078
KB relative information score
1462.7832
Mean absolute error
0.0735
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7342
Per class
Predictive accuracy
0.737
Prior entropy
3.3219
Recall
0.737
Per class
Relative absolute error
0.4085
Root mean prior squared error
0.3
Root mean squared error
0.1805
Root relative squared error
0.6017
SciMark benchmark
947.5189[564.84475602395331015.5230404536866483.44967579697345911.48820099582031762.2889234168845]

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