Run
979

Run 979

Task 79 (Learning Curve) mfeat-pixel 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
0.9747 ± 0.0079
Per class
F measure
0.8458 ± 0.0279
Per class
Kappa
0.8287 ± 0.0314
KB relative information score
0.77 ± 0.0196
Mean absolute error
0.0632 ± 0.0039
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
0.8461 ± 0.0271
Per class
Predictive accuracy
0.8459 ± 0.0282
Prior entropy
3.3219
Recall
0.8459 ± 0.0282
Per class
Relative absolute error
0.3513 ± 0.0218
Root mean prior squared error
0.3
Root mean squared error
0.1593 ± 0.0082
Root relative squared error
0.5311 ± 0.0273
SciMark benchmark
882.3654