Run
20183

Run 20183

Task 32 (Supervised Classification) pendigits Uploaded 18-06-2014 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
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9955
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9949
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10940.2941
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0009
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
10992
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
0.9955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9955
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3208
Cross-validation details (10-fold Crossvalidation)
Recall
0.9955
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0051
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0299
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0995
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
928.8175[550.7548498692883995.0710325327707481.49857166643204905.8189190131481710.9440737619698]