Run
23939

Run 23939

Task 27 (Supervised Classification) colic Uploaded 29-06-2014 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)_I40
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
0.8572
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8436
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6619
Cross-validation details (10-fold Crossvalidation)
KB relative information score
240.3015
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1572
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.8438
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8451
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8451
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3372
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3935
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8152
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.0603[561.7522155508621015.5230404536866484.10363182779514911.17132945493631757.7512505720342]