Run
793

Run 793

Task 90 (Learning Curve) credit-g Uploaded 08-04-2014 by Jan van Rijn
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I10
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
0.7582 ± 0.0547
Per class
F measure
0.7281 ± 0.0412
Per class
Kappa
0.3337 ± 0.1013
KB relative information score
0.1874 ± 0.0602
Mean absolute error
0.336 ± 0.02
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7253 ± 0.0441
Per class
Predictive accuracy
0.7397 ± 0.0398
Prior entropy
0.8813
Recall
0.7397 ± 0.0398
Per class
Relative absolute error
0.7998 ± 0.0477
Root mean prior squared error
0.4583
Root mean squared error
0.4188 ± 0.0239
Root relative squared error
0.9139 ± 0.0522
SciMark benchmark
840.4113