Run
96779

Run 96779

Task 3873 (Supervised Classification) dermatology Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0158
Cross-validation details (10-fold Crossvalidation)
Build memory
477041732.1093
Cross-validation details (10-fold Crossvalidation)
F measure
0.9727
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.936
Cross-validation details (10-fold Crossvalidation)
KB relative information score
340.5321
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0297
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9729
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9727
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9727
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0699
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1109
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2407
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.4151