Run
16513

Run 16513

Task 1 (Supervised Classification) anneal Uploaded 04-06-2014 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)_I80
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
0.9978
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9922
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9805
Cross-validation details (10-fold Crossvalidation)
KB relative information score
840.3983
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0087
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9922
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9922
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9922
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0651
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0529
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2049
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
575.6481[332.8703656847291903.4013600785152233.32070405758685496.2968959613821912.3510320160116]