Run
110006

Run 110006

Task 3747 (Supervised Classification) fri_c0_500_5 Uploaded 09-12-2014 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_IBk(2)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_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.8059
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0224
Cross-validation details (10-fold Crossvalidation)
Build memory
660197984
Cross-validation details (10-fold Crossvalidation)
F measure
0.8058
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6119
Cross-validation details (10-fold Crossvalidation)
KB relative information score
305.0179
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1954
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
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
0.8068
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.806
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.806
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3907
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4395
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.879
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.7751