Run
76939

Run 76939

Task 1799 (Supervised Classification) dermatology Uploaded 01-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I40
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9981
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
1.0004
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
788970859.2
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9631
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.9541
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1503.6439
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0759
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
0.9634
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9634
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9634
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.2848
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
0.145
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.3973
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
928.9403