Run
17158

Run 17158

Task 22 (Supervised Classification) mfeat-zernike Uploaded 06-06-2014 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_LMT(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_LMT(1)_I80
weka.AdaBoostM1_LMT(1)_P100
weka.AdaBoostM1_LMT(1)_S1
weka.AdaBoostM1_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.9592
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8032
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7772
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1591.4049
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0401
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
0.8072
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7995
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7995
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2229
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6496
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
907.5623[544.0551219403674996.8727570475086473.43116282050204888.32260997168151635.129782538218]