Run
660

Run 660

Task 94 (Learning Curve) dermatology Uploaded 07-04-2014 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
0.9927 ± 0.0066
Per class
F measure
0.9237 ± 0.0423
Per class
Kappa
0.9044 ± 0.0509
KB relative information score
0.8809 ± 0.0344
Mean absolute error
0.0437 ± 0.0093
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.9267 ± 0.0348
Per class
Predictive accuracy
0.924 ± 0.0402
Prior entropy
2.4327 ± 0.0089
Recall
0.924 ± 0.0402
Per class
Relative absolute error
0.1639 ± 0.0347
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.136 ± 0.0275
Root relative squared error
0.3729 ± 0.0753
SciMark benchmark
810.9149