OpenML
22403

Run 22403

Task 22 (Supervised Classification) mfeat-zernike Uploaded 21-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_BFTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.Bagging_BFTree(1)_I10
weka.Bagging_BFTree(1)_P100
weka.Bagging_BFTree(1)_S1
weka.Bagging_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(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
0.957
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7314
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7028
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1474.2344
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0687
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
0.7324
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7325
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7325
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3816
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1855
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6184
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.2867[566.4958240211141013.1203667026068481.93081680843505907.70082742804311757.1857345400422]