Run
18335

Run 18335

Task 35 (Supervised Classification) dermatology Uploaded 10-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I160
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.9967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9616
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9521
Cross-validation details (10-fold Crossvalidation)
KB relative information score
323.8253
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0482
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
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
0.9615
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9617
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9617
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1807
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.124
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3399
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.253[550.2336685193791996.8726955697601471.35288917392205904.56866745157771753.2370197795062]