Run
642

Run 642

Task 69 (Learning Curve) lymph Uploaded 07-04-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8637 ± 0.0938
Per class
F measure
0.7564 ± 0.1114
Per class
Kappa
0.5489 ± 0.1939
KB relative information score
0.4629 ± 0.1376
Mean absolute error
0.1548 ± 0.0348
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7461 ± 0.1105
Per class
Predictive accuracy
0.7689 ± 0.1001
Prior entropy
1.2302 ± 0.1357
Recall
0.7689 ± 0.1001
Per class
Relative absolute error
0.5781 ± 0.1261
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.2842 ± 0.054
Root relative squared error
0.7808 ± 0.1429
SciMark benchmark
716.8068