Run
19389

Run 19389

Task 54 (Supervised Classification) hepatitis Uploaded 13-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(1)_I20
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_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
0.727
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8122
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4076
Cross-validation details (10-fold Crossvalidation)
KB relative information score
59.6262
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.174
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3299
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
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
0.8081
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8194
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.8194
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5274
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4113
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0161
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.6734[569.08339557480821014.1868590421574483.449727694041908.32989414330441758.3172656914378]