Run
109107

Run 109107

Task 38 (Supervised Classification) ecoli 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)_I40
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
0.8603
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0308
Cross-validation details (10-fold Crossvalidation)
Build memory
112600742.9286
Cross-validation details (10-fold Crossvalidation)
F measure
0.7954
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7216
Cross-validation details (10-fold Crossvalidation)
KB relative information score
231.0104
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0549
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
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
0.7939
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7976
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.7976
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3005
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2222
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7366
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.5885