Run
934

Run 934

Task 71 (Learning Curve) mfeat-factors 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
0.9958 ± 0.002
Per class
F measure
0.9386 ± 0.0179
Per class
Kappa
0.9317 ± 0.0198
KB relative information score
0.887 ± 0.0115
Mean absolute error
0.0355 ± 0.0026
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
0.9388 ± 0.017
Per class
Predictive accuracy
0.9386 ± 0.0178
Prior entropy
3.3219
Recall
0.9386 ± 0.0178
Per class
Relative absolute error
0.1973 ± 0.0147
Root mean prior squared error
0.3
Root mean squared error
0.1081 ± 0.0076
Root relative squared error
0.3604 ± 0.0252
SciMark benchmark
888.2121