Run
1005

Run 1005

Task 73 (Learning Curve) mfeat-fourier 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
0.9731 ± 0.0055
Per class
F measure
0.7971 ± 0.026
Per class
Kappa
0.7752 ± 0.0288
KB relative information score
0.7832 ± 0.0158
Mean absolute error
0.0604 ± 0.0031
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7979 ± 0.0258
Per class
Predictive accuracy
0.7977 ± 0.026
Prior entropy
3.3219
Recall
0.7977 ± 0.026
Per class
Relative absolute error
0.3356 ± 0.0172
Root mean prior squared error
0.3
Root mean squared error
0.1672 ± 0.0073
Root relative squared error
0.5575 ± 0.0242
SciMark benchmark
881.4752