Run
60441

Run 60441

Task 1799 (Supervised Classification) dermatology Uploaded 16-11-2014 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_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I10
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9851
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.002
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
1520571079.2
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8606
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.8513
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1293.5811
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1004
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8435
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8825
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8825
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.3767
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2047
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.5609
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
940.8364