DEVELOPMENT... OpenML
Run
10161

Run 10161

Task 36 (Supervised Classification) segment 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)_I50
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
0.9984
Per class
F measure
0.9693
Per class
Kappa
0.9641
KB relative information score
2201.1249
Mean absolute error
0.0185
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9693
Per class
Predictive accuracy
0.9693
Prior entropy
2.8074
Recall
0.9693
Per class
Relative absolute error
0.0754
Root mean prior squared error
0.3499
Root mean squared error
0.0831
Root relative squared error
0.2375
SciMark benchmark
945.7578[561.2100229485231014.4538648883195483.88543266528814911.48820099582031757.751385454742]