Run
118509

Run 118509

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 10-12-2014 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_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.3533
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0636
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
892801763.2
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.5066
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
-0.1914
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
-86.5934
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3244
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
450
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4981
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.5156
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.5156
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
1.13
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.5402
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.4387
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
916.8516