Run
24362

Run 24362

Task 12 (Supervised Classification) mfeat-factors Uploaded 04-07-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I20
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9131
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8437
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8261
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1672.6779
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0313
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.8444
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1739
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1769
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5897
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
894.4096[533.406926658694961.0747621016069455.55442203429567862.03225760058231659.979635527825]