Run
7121

Run 7121

Task 20 (Supervised Classification) mfeat-pixel Uploaded 21-05-2014 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_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I50
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9823
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8653
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.85
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1548.1658
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0634
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
0.8666
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.865
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.865
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3523
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1543
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5142
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.3685[567.60190887821451014.4538012229739478.28146046101085911.48820099582031760.017229859821]