Run
1841410

Run 1841410

Task 125966 (Supervised Classification) SpeedDating Uploaded 28-11-2016 by Michiel Verburg
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Vote_Bagging(1)Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
weka.Vote_Bagging(1)_RMAX
weka.Vote_Bagging(1)_S1
weka.Vote_Bagging(1)_Bweka.classifiers.meta.Bagging -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.864
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8063
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1993
Cross-validation details (10-fold Crossvalidation)
KB relative information score
971.5548
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2212
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8399
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8516
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8516
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8037
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3187
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8592
Cross-validation details (10-fold Crossvalidation)